Computer-Aided Reporting of Chest Radiographs: Efficient and Effective Screening in the Value-Based Imaging Era View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-10

AUTHORS

Michael Morris, Babak Saboury, Niketh Bandla, Christopher Toland, Christopher Meenan, Eliot Siegel, Jean Jeudy

ABSTRACT

In the post-PACS era, mammography is unique in adopting specialized ergonomic interfaces to improve efficiency in a high volume setting. Chest radiography is also a high volume area of radiology. The authors hypothesize that applying a novel interface for chest radiography interpretation and reporting could create high productivity while maintaining quality. A custom version of the ClearCanvas open source software, EzRad, was created with a workflow re-designed specifically for tuberculosis screening chest radiographs, which utilized standardized computer generated reports. The preliminary reports from 881,792 studies evaluated by radiology residents over a nine-year period were analyzed for productivity as RVU/FTE and compared to the finalized reports from a subspecialty attending chest radiologist for accuracy. Radiology residents were able to produce 7480 RVU/FTE per year in screening chest radiography productivity when using a custom interface at a large academic medical center with a miss rate of 0.1%. Sensitivity was 77% and specificity was 99.9%. An ergonomic user interface allowed high productivity in interpretation of chest radiography for tuberculosis screening while maintaining quality. More... »

PAGES

589-594

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10278-017-9952-y

DOI

http://dx.doi.org/10.1007/s10278-017-9952-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1083524391

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28154988


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0806", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information Systems", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Efficiency, Organizational", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ergonomics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Image Interpretation, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Image Processing, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radiography, Thoracic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sensitivity and Specificity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Software", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tuberculosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Workflow", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Maryland Medical System", 
          "id": "https://www.grid.ac/institutes/grid.413038.d", 
          "name": [
            "Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland Medical Center, 22 S Greene Street, 21201, Baltimore, MD, USA", 
            "Baltimore Veteran\u2019s Affairs Medical Center, Baltimore, MD, USA", 
            "Mercy Medical Center, Baltimore, MD, USA", 
            "University of Maryland Medical System, Baltimore, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Morris", 
        "givenName": "Michael", 
        "id": "sg:person.01356370111.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01356370111.96"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Maryland Medical System", 
          "id": "https://www.grid.ac/institutes/grid.413038.d", 
          "name": [
            "Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland Medical Center, 22 S Greene Street, 21201, Baltimore, MD, USA", 
            "Baltimore Veteran\u2019s Affairs Medical Center, Baltimore, MD, USA", 
            "University of Maryland Medical System, Baltimore, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Saboury", 
        "givenName": "Babak", 
        "id": "sg:person.01042766404.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01042766404.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Maryland Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.413036.3", 
          "name": [
            "Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland Medical Center, 22 S Greene Street, 21201, Baltimore, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bandla", 
        "givenName": "Niketh", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Maryland Medical System", 
          "id": "https://www.grid.ac/institutes/grid.413038.d", 
          "name": [
            "Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland Medical Center, 22 S Greene Street, 21201, Baltimore, MD, USA", 
            "Analytical Informatics, Baltimore, MD, USA", 
            "University of Maryland Medical System, Baltimore, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Toland", 
        "givenName": "Christopher", 
        "id": "sg:person.01023567731.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01023567731.64"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Maryland Medical System", 
          "id": "https://www.grid.ac/institutes/grid.413038.d", 
          "name": [
            "Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland Medical Center, 22 S Greene Street, 21201, Baltimore, MD, USA", 
            "Analytical Informatics, Baltimore, MD, USA", 
            "University of Maryland Medical System, Baltimore, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Meenan", 
        "givenName": "Christopher", 
        "id": "sg:person.01212550757.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212550757.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Maryland Medical System", 
          "id": "https://www.grid.ac/institutes/grid.413038.d", 
          "name": [
            "Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland Medical Center, 22 S Greene Street, 21201, Baltimore, MD, USA", 
            "Baltimore Veteran\u2019s Affairs Medical Center, Baltimore, MD, USA", 
            "University of Maryland Medical System, Baltimore, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Siegel", 
        "givenName": "Eliot", 
        "id": "sg:person.0734606617.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734606617.87"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Maryland Medical System", 
          "id": "https://www.grid.ac/institutes/grid.413038.d", 
          "name": [
            "Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland Medical Center, 22 S Greene Street, 21201, Baltimore, MD, USA", 
            "Baltimore Veteran\u2019s Affairs Medical Center, Baltimore, MD, USA", 
            "University of Maryland Medical System, Baltimore, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jeudy", 
        "givenName": "Jean", 
        "id": "sg:person.01335240375.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01335240375.41"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1001/jama.1996.03540010041028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003172442"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacr.2004.06.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005820197"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2522081895", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011175514"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacr.2012.06.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012875235"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacr.2014.09.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014868837"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2523081992", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029458130"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.acra.2013.07.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038754940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.acra.2005.05.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042551488"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1067/j.cpradiol.2015.09.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050414814"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.276.1.39", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054160025"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.178.3.1780563", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069324571"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074317468", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.14141227", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079004486"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079013904", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.209.2.9807581", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083343559"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-10", 
    "datePublishedReg": "2017-10-01", 
    "description": "In the post-PACS era, mammography is unique in adopting specialized ergonomic interfaces to improve efficiency in a high volume setting. Chest radiography is also a high volume area of radiology. The authors hypothesize that applying a novel interface for chest radiography interpretation and reporting could create high productivity while maintaining quality. A custom version of the ClearCanvas open source software, EzRad, was created with a workflow re-designed specifically for tuberculosis screening chest radiographs, which utilized standardized computer generated reports. The preliminary reports from 881,792 studies evaluated by radiology residents over a nine-year period were analyzed for productivity as RVU/FTE and compared to the finalized reports from a subspecialty attending chest radiologist for accuracy. Radiology residents were able to produce 7480 RVU/FTE per year in screening chest radiography productivity when using a custom interface at a large academic medical center with a miss rate of 0.1%. Sensitivity was 77% and specificity was 99.9%. An ergonomic user interface allowed high productivity in interpretation of chest radiography for tuberculosis screening while maintaining quality.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10278-017-9952-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1100894", 
        "issn": [
          "0897-1889", 
          "1618-727X"
        ], 
        "name": "Journal of Digital Imaging", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "30"
      }
    ], 
    "name": "Computer-Aided Reporting of Chest Radiographs: Efficient and Effective Screening in the Value-Based Imaging Era", 
    "pagination": "589-594", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "6ef75e1122a9b6a7479bd298e1967caf2660382c7b6529a808c6a25099db660c"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28154988"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9100529"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10278-017-9952-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1083524391"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10278-017-9952-y", 
      "https://app.dimensions.ai/details/publication/pub.1083524391"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:00", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000347_0000000347/records_89816_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10278-017-9952-y"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10278-017-9952-y'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10278-017-9952-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10278-017-9952-y'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10278-017-9952-y'


 

This table displays all metadata directly associated to this object as RDF triples.

204 TRIPLES      21 PREDICATES      55 URIs      32 LITERALS      20 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10278-017-9952-y schema:about N076a2ee6cfac4ba0b8347a18eed4013d
2 N2e60bcbf31e643b4937588ea11b51346
3 N3b63389e3ff44f759b9bbdfb802d9156
4 N565bd4fc4c484453b731254d5df3efa8
5 N6f509631a32743ba8e755c19ee167665
6 N87497976fe1045b097daeb5974810c80
7 Na07ec0686bdb4ea2a7974cbdde4678d4
8 Na81eb6a5d5b840ffa5b09106887ab07b
9 Nae071664b52a463b9c2ac4afd84174f6
10 Ndccbf6d276664c458b904c0b3bd1bb11
11 Nfab11b628c4f42f09b341ef0d766a22f
12 anzsrc-for:08
13 anzsrc-for:0806
14 schema:author N6e7019c096cd430baf756d1e1fafa463
15 schema:citation https://app.dimensions.ai/details/publication/pub.1074317468
16 https://app.dimensions.ai/details/publication/pub.1079013904
17 https://doi.org/10.1001/jama.1996.03540010041028
18 https://doi.org/10.1001/jama.276.1.39
19 https://doi.org/10.1016/j.acra.2005.05.015
20 https://doi.org/10.1016/j.acra.2013.07.006
21 https://doi.org/10.1016/j.jacr.2004.06.002
22 https://doi.org/10.1016/j.jacr.2012.06.022
23 https://doi.org/10.1016/j.jacr.2014.09.005
24 https://doi.org/10.1067/j.cpradiol.2015.09.006
25 https://doi.org/10.1148/radiol.14141227
26 https://doi.org/10.1148/radiol.2522081895
27 https://doi.org/10.1148/radiol.2523081992
28 https://doi.org/10.1148/radiology.209.2.9807581
29 https://doi.org/10.2214/ajr.178.3.1780563
30 schema:datePublished 2017-10
31 schema:datePublishedReg 2017-10-01
32 schema:description In the post-PACS era, mammography is unique in adopting specialized ergonomic interfaces to improve efficiency in a high volume setting. Chest radiography is also a high volume area of radiology. The authors hypothesize that applying a novel interface for chest radiography interpretation and reporting could create high productivity while maintaining quality. A custom version of the ClearCanvas open source software, EzRad, was created with a workflow re-designed specifically for tuberculosis screening chest radiographs, which utilized standardized computer generated reports. The preliminary reports from 881,792 studies evaluated by radiology residents over a nine-year period were analyzed for productivity as RVU/FTE and compared to the finalized reports from a subspecialty attending chest radiologist for accuracy. Radiology residents were able to produce 7480 RVU/FTE per year in screening chest radiography productivity when using a custom interface at a large academic medical center with a miss rate of 0.1%. Sensitivity was 77% and specificity was 99.9%. An ergonomic user interface allowed high productivity in interpretation of chest radiography for tuberculosis screening while maintaining quality.
33 schema:genre research_article
34 schema:inLanguage en
35 schema:isAccessibleForFree false
36 schema:isPartOf N2975efdb333e47d1b21b15cfcc72cc70
37 N5f2b7227487440f79e4e880a776cac71
38 sg:journal.1100894
39 schema:name Computer-Aided Reporting of Chest Radiographs: Efficient and Effective Screening in the Value-Based Imaging Era
40 schema:pagination 589-594
41 schema:productId N27d30e9742f641e490795a8ce966c8c4
42 N731faacb9aac4b2e9cdb905de4346571
43 N77e4c00796ce41bc9fde0c2b7384dfe3
44 Na2a6a37f45b64e9e98f8d568d0ab448a
45 Nc56f674d719a4de1a37429f2b3c55908
46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083524391
47 https://doi.org/10.1007/s10278-017-9952-y
48 schema:sdDatePublished 2019-04-11T10:00
49 schema:sdLicense https://scigraph.springernature.com/explorer/license/
50 schema:sdPublisher Neeceaa4683b2435aa59c141415e64352
51 schema:url https://link.springer.com/10.1007%2Fs10278-017-9952-y
52 sgo:license sg:explorer/license/
53 sgo:sdDataset articles
54 rdf:type schema:ScholarlyArticle
55 N076a2ee6cfac4ba0b8347a18eed4013d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
56 schema:name Tuberculosis
57 rdf:type schema:DefinedTerm
58 N27d30e9742f641e490795a8ce966c8c4 schema:name readcube_id
59 schema:value 6ef75e1122a9b6a7479bd298e1967caf2660382c7b6529a808c6a25099db660c
60 rdf:type schema:PropertyValue
61 N2975efdb333e47d1b21b15cfcc72cc70 schema:volumeNumber 30
62 rdf:type schema:PublicationVolume
63 N2e60bcbf31e643b4937588ea11b51346 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
64 schema:name Image Interpretation, Computer-Assisted
65 rdf:type schema:DefinedTerm
66 N3b63389e3ff44f759b9bbdfb802d9156 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
67 schema:name Radiography, Thoracic
68 rdf:type schema:DefinedTerm
69 N565bd4fc4c484453b731254d5df3efa8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
70 schema:name Sensitivity and Specificity
71 rdf:type schema:DefinedTerm
72 N5f2b7227487440f79e4e880a776cac71 schema:issueNumber 5
73 rdf:type schema:PublicationIssue
74 N6e7019c096cd430baf756d1e1fafa463 rdf:first sg:person.01356370111.96
75 rdf:rest N8688145a2b6741bd827ba6b7114f3a42
76 N6f509631a32743ba8e755c19ee167665 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
77 schema:name Image Processing, Computer-Assisted
78 rdf:type schema:DefinedTerm
79 N731faacb9aac4b2e9cdb905de4346571 schema:name dimensions_id
80 schema:value pub.1083524391
81 rdf:type schema:PropertyValue
82 N77e4c00796ce41bc9fde0c2b7384dfe3 schema:name doi
83 schema:value 10.1007/s10278-017-9952-y
84 rdf:type schema:PropertyValue
85 N8688145a2b6741bd827ba6b7114f3a42 rdf:first sg:person.01042766404.29
86 rdf:rest Nc281cc6130f34d2c87eb54bd3b48c1ff
87 N87497976fe1045b097daeb5974810c80 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Ergonomics
89 rdf:type schema:DefinedTerm
90 N9a4bed39c68741b383b26ba476d90429 rdf:first sg:person.01335240375.41
91 rdf:rest rdf:nil
92 Na07ec0686bdb4ea2a7974cbdde4678d4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Software
94 rdf:type schema:DefinedTerm
95 Na2a6a37f45b64e9e98f8d568d0ab448a schema:name pubmed_id
96 schema:value 28154988
97 rdf:type schema:PropertyValue
98 Na414fd868b1548f5a6fb0dff881ce508 schema:affiliation https://www.grid.ac/institutes/grid.413036.3
99 schema:familyName Bandla
100 schema:givenName Niketh
101 rdf:type schema:Person
102 Na81eb6a5d5b840ffa5b09106887ab07b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Humans
104 rdf:type schema:DefinedTerm
105 Nae071664b52a463b9c2ac4afd84174f6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Efficiency, Organizational
107 rdf:type schema:DefinedTerm
108 Nc0f46a800cd046968638d9e75a2c0bb9 rdf:first sg:person.0734606617.87
109 rdf:rest N9a4bed39c68741b383b26ba476d90429
110 Nc281cc6130f34d2c87eb54bd3b48c1ff rdf:first Na414fd868b1548f5a6fb0dff881ce508
111 rdf:rest Nd5d38d13ce914b62a1175efd1b759d74
112 Nc56f674d719a4de1a37429f2b3c55908 schema:name nlm_unique_id
113 schema:value 9100529
114 rdf:type schema:PropertyValue
115 Nd5d38d13ce914b62a1175efd1b759d74 rdf:first sg:person.01023567731.64
116 rdf:rest Ne01f2763c9ae4e048cab08bc5bc00321
117 Ndccbf6d276664c458b904c0b3bd1bb11 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Reproducibility of Results
119 rdf:type schema:DefinedTerm
120 Ne01f2763c9ae4e048cab08bc5bc00321 rdf:first sg:person.01212550757.86
121 rdf:rest Nc0f46a800cd046968638d9e75a2c0bb9
122 Neeceaa4683b2435aa59c141415e64352 schema:name Springer Nature - SN SciGraph project
123 rdf:type schema:Organization
124 Nfab11b628c4f42f09b341ef0d766a22f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Workflow
126 rdf:type schema:DefinedTerm
127 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
128 schema:name Information and Computing Sciences
129 rdf:type schema:DefinedTerm
130 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
131 schema:name Information Systems
132 rdf:type schema:DefinedTerm
133 sg:journal.1100894 schema:issn 0897-1889
134 1618-727X
135 schema:name Journal of Digital Imaging
136 rdf:type schema:Periodical
137 sg:person.01023567731.64 schema:affiliation https://www.grid.ac/institutes/grid.413038.d
138 schema:familyName Toland
139 schema:givenName Christopher
140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01023567731.64
141 rdf:type schema:Person
142 sg:person.01042766404.29 schema:affiliation https://www.grid.ac/institutes/grid.413038.d
143 schema:familyName Saboury
144 schema:givenName Babak
145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01042766404.29
146 rdf:type schema:Person
147 sg:person.01212550757.86 schema:affiliation https://www.grid.ac/institutes/grid.413038.d
148 schema:familyName Meenan
149 schema:givenName Christopher
150 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212550757.86
151 rdf:type schema:Person
152 sg:person.01335240375.41 schema:affiliation https://www.grid.ac/institutes/grid.413038.d
153 schema:familyName Jeudy
154 schema:givenName Jean
155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01335240375.41
156 rdf:type schema:Person
157 sg:person.01356370111.96 schema:affiliation https://www.grid.ac/institutes/grid.413038.d
158 schema:familyName Morris
159 schema:givenName Michael
160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01356370111.96
161 rdf:type schema:Person
162 sg:person.0734606617.87 schema:affiliation https://www.grid.ac/institutes/grid.413038.d
163 schema:familyName Siegel
164 schema:givenName Eliot
165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734606617.87
166 rdf:type schema:Person
167 https://app.dimensions.ai/details/publication/pub.1074317468 schema:CreativeWork
168 https://app.dimensions.ai/details/publication/pub.1079013904 schema:CreativeWork
169 https://doi.org/10.1001/jama.1996.03540010041028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003172442
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1001/jama.276.1.39 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054160025
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/j.acra.2005.05.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042551488
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1016/j.acra.2013.07.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038754940
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1016/j.jacr.2004.06.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005820197
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1016/j.jacr.2012.06.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012875235
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1016/j.jacr.2014.09.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014868837
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1067/j.cpradiol.2015.09.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050414814
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1148/radiol.14141227 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079004486
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1148/radiol.2522081895 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011175514
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1148/radiol.2523081992 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029458130
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1148/radiology.209.2.9807581 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083343559
192 rdf:type schema:CreativeWork
193 https://doi.org/10.2214/ajr.178.3.1780563 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069324571
194 rdf:type schema:CreativeWork
195 https://www.grid.ac/institutes/grid.413036.3 schema:alternateName University of Maryland Medical Center
196 schema:name Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland Medical Center, 22 S Greene Street, 21201, Baltimore, MD, USA
197 rdf:type schema:Organization
198 https://www.grid.ac/institutes/grid.413038.d schema:alternateName University of Maryland Medical System
199 schema:name Analytical Informatics, Baltimore, MD, USA
200 Baltimore Veteran’s Affairs Medical Center, Baltimore, MD, USA
201 Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland Medical Center, 22 S Greene Street, 21201, Baltimore, MD, USA
202 Mercy Medical Center, Baltimore, MD, USA
203 University of Maryland Medical System, Baltimore, MD, USA
204 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...