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  1. Article: Artificial Intelligence in Esophageal Diseases.

    Leggett, Cadman L

    Gastroenterology & hepatology

    2024  Volume 20, Issue 3, Page(s) 179–182

    Language English
    Publishing date 2024-04-27
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2386402-3
    ISSN 1554-7914
    ISSN 1554-7914
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6543: Show issues Location:
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  2. Article ; Online: Endoscopic screening for oesophageal cancer: empowering artificial intelligence with a high-quality examination.

    Leggett, Cadman L

    The lancet. Gastroenterology & hepatology

    2023  Volume 9, Issue 1, Page(s) 4–5

    Language English
    Publishing date 2023-11-10
    Publishing country Netherlands
    Document type Journal Article
    ISSN 2468-1253
    ISSN (online) 2468-1253
    DOI 10.1016/S2468-1253(23)00377-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Is it time to drop the forceps and pick up the brush?

    Kamboj, Amrit K / Leggett, Cadman L

    Gastrointestinal endoscopy

    2022  Volume 95, Issue 6, Page(s) 1111–1112

    MeSH term(s) Bile Duct Neoplasms ; Biopsy ; Humans ; Surgical Instruments
    Language English
    Publishing date 2022-04-08
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 391583-9
    ISSN 1097-6779 ; 0016-5107
    ISSN (online) 1097-6779
    ISSN 0016-5107
    DOI 10.1016/j.gie.2022.02.026
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: As far as the AI can see.

    Leggett, Cadman L / Katzka, David A

    Endoscopy

    2021  Volume 53, Issue 9, Page(s) 884–885

    MeSH term(s) Artificial Intelligence ; Humans
    Language English
    Publishing date 2021-08-26
    Publishing country Germany
    Document type Editorial ; Comment
    ZDB-ID 80120-3
    ISSN 1438-8812 ; 0013-726X
    ISSN (online) 1438-8812
    ISSN 0013-726X
    DOI 10.1055/a-1352-4811
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Barrett's esophagus indefinite for dysplasia carries a definite risk of neoplasia.

    Kamboj, Amrit K / Leggett, Cadman L

    Gastrointestinal endoscopy

    2021  Volume 94, Issue 2, Page(s) 271–272

    MeSH term(s) Barrett Esophagus ; Esophageal Neoplasms ; Humans
    Language English
    Publishing date 2021-05-08
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 391583-9
    ISSN 1097-6779 ; 0016-5107
    ISSN (online) 1097-6779
    ISSN 0016-5107
    DOI 10.1016/j.gie.2021.03.019
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  6. Article ; Online: Is more always better in Barrett's esophagus?

    Leggett, Cadman L

    Gastrointestinal endoscopy

    2018  Volume 88, Issue 1, Page(s) 43–45

    MeSH term(s) Barrett Esophagus ; Gastroesophageal Reflux ; Humans
    Language English
    Publishing date 2018
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 391583-9
    ISSN 1097-6779 ; 0016-5107
    ISSN (online) 1097-6779
    ISSN 0016-5107
    DOI 10.1016/j.gie.2018.04.012
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  7. Article ; Online: The utility of esophageal transit scintigraphy in the diagnosis of dysphagia lusoria.

    Tome, June / Kamboj, Amrit K / Leggett, Cadman L

    Gastrointestinal endoscopy

    2022  Volume 96, Issue 4, Page(s) 685–686

    MeSH term(s) Deglutition Disorders/diagnostic imaging ; Deglutition Disorders/etiology ; Humans ; Radionuclide Imaging
    Language English
    Publishing date 2022-06-18
    Publishing country United States
    Document type Journal Article
    ZDB-ID 391583-9
    ISSN 1097-6779 ; 0016-5107
    ISSN (online) 1097-6779
    ISSN 0016-5107
    DOI 10.1016/j.gie.2022.06.024
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  8. Article ; Online: Artificial intelligence in the age of cognitive endoscopy.

    Kahn, Allon / Leggett, Cadman L

    Gastrointestinal endoscopy

    2020  Volume 91, Issue 6, Page(s) 1251–1252

    MeSH term(s) Algorithms ; Artificial Intelligence ; Cognition ; Deep Learning ; Endoscopy ; Humans ; Neoplasms ; Pilot Projects
    Language English
    Publishing date 2020-05-21
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 391583-9
    ISSN 1097-6779 ; 0016-5107
    ISSN (online) 1097-6779
    ISSN 0016-5107
    DOI 10.1016/j.gie.2020.03.009
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Physician perceptions on the current and future impact of artificial intelligence to the field of gastroenterology.

    Leggett, Cadman L / Parasa, Sravanthi / Repici, Alessandro / Berzin, Tyler M / Gross, Seth A / Sharma, Prateek

    Gastrointestinal endoscopy

    2024  Volume 99, Issue 4, Page(s) 483–489.e2

    Abstract: Background and aims: The use of artificial intelligence (AI) has transformative implications to the practice of gastroenterology and endoscopy. The aims of this study were to understand the perceptions of the gastroenterology community toward AI and to ... ...

    Abstract Background and aims: The use of artificial intelligence (AI) has transformative implications to the practice of gastroenterology and endoscopy. The aims of this study were to understand the perceptions of the gastroenterology community toward AI and to identify potential barriers for adoption.
    Methods: A 16-question online survey exploring perceptions on the current and future implications of AI to the field of gastroenterology was developed by the American Society for Gastrointestinal Endoscopy AI Task Force and distributed to national and international society members. Participant demographic information including age, sex, experience level, and practice setting was collected. Descriptive statistics were used to summarize survey findings, and a Pearson χ
    Results: Of 10,162 invited gastroenterologists, 374 completed the survey. The mean age of participants was 46 years (standard deviation, 12), and 299 participants (80.0%) were men. One hundred seventy-nine participants (47.9%) had >10 years of practice experience, with nearly half working in the community setting. Only 25 participants (6.7%) reported the current use of AI in their clinical practice. Most participants (95.5%) believed that AI solutions will have a positive impact in their practice. One hundred seventy-six participants (47.1%) believed that AI will make clinical duties more technical but will also ease the burden of the electronic medical record (54.0%). The top 3 areas where AI was predicted to be most influential were endoscopic lesion detection (65.3%), endoscopic lesion characterization (65.8%), and quality metrics (32.6%). Participants voiced a desire for education on topics such as the clinical use of AI applications (64.4%), the advantages and limitations of AI applications (57.0%), and the technical methodology of AI (44.7%). Most participants (42.8%) expressed that the cost of AI implementation should be covered by their hospital. Demographic characteristics significantly associated with this perception included participants' years in practice and practice setting.
    Conclusions: Gastroenterologists have an overall positive perception regarding the use of AI in clinical practice but voiced concerns regarding its technical aspects and coverage of costs associated with implementation. Further education on the clinical use of AI applications with understanding of the advantages and limitations appears to be valuable in promoting adoption.
    MeSH term(s) Male ; Humans ; Middle Aged ; Female ; Gastroenterology ; Artificial Intelligence ; Physicians ; Gastroenterologists ; Benchmarking
    Language English
    Publishing date 2024-02-26
    Publishing country United States
    Document type Practice Guideline
    ZDB-ID 391583-9
    ISSN 1097-6779 ; 0016-5107
    ISSN (online) 1097-6779
    ISSN 0016-5107
    DOI 10.1016/j.gie.2023.11.053
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Incidental Colonic Ganglioneuroma on Surveillance Colonoscopy.

    Agarwal, Siddharth / Wang, Yaohong / Iyer, Prasad G / Leggett, Cadman L

    ACG case reports journal

    2022  Volume 9, Issue 1, Page(s) e00727

    Language English
    Publishing date 2022-01-11
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2814825-3
    ISSN 2326-3253
    ISSN 2326-3253
    DOI 10.14309/crj.0000000000000727
    Database MEDical Literature Analysis and Retrieval System OnLINE

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