Literature DB >> 31584609

Potential Liability for Physicians Using Artificial Intelligence.

W Nicholson Price1, Sara Gerke2, I Glenn Cohen3.   

Abstract

Year:  2019        PMID： 31584609     DOI： 10.1001/jama.2019.15064

Source DB:  PubMed          Journal:  JAMA        ISSN： 0098-7484            Impact factor:   56.272


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  46 in total

1.  Bringing Ophthalmic Graduate Medical Education into the 2020s with Information Technology.

Authors:  Emily Cole; Nita G Valikodath; April Maa; R V Paul Chan; Michael F Chiang; Aaron Y Lee; Daniel C Tu; Thomas S Hwang
Journal:  Ophthalmology       Date:  2020-12-24       Impact factor: 12.079

Review 2.  Artificial Intelligence: reshaping the practice of radiological sciences in the 21st century.

Authors:  Issam El Naqa; Masoom A Haider; Maryellen L Giger; Randall K Ten Haken
Journal:  Br J Radiol       Date:  2020-02-01       Impact factor: 3.039

3.  Machine Learning Applications in Orthopaedic Imaging.

Authors:  Vincent M Wang; Carrie A Cheung; Albert J Kozar; Bert Huang
Journal:  J Am Acad Orthop Surg       Date:  2020-05-15       Impact factor: 3.020

Review 4.  Ethical considerations for artificial intelligence: an overview of the current radiology landscape.

Authors:  Tugba Akinci D'Antonoli
Journal:  Diagn Interv Radiol       Date:  2020-09       Impact factor: 2.630

Review 5.  Artificial Intelligence and Polyp Detection.

Authors:  Nicholas Hoerter; Seth A Gross; Peter S Liang
Journal:  Curr Treat Options Gastroenterol       Date:  2020-01-21

6.  Public vs physician views of liability for artificial intelligence in health care.

Authors:  Dhruv Khullar; Lawrence P Casalino; Yuting Qian; Yuan Lu; Enoch Chang; Sanjay Aneja
Journal:  J Am Med Inform Assoc       Date:  2021-07-14       Impact factor: 4.497

Review 7.  Machine learning for sperm selection.

Authors:  Jae Bem You; Christopher McCallum; Yihe Wang; Jason Riordon; Reza Nosrati; David Sinton
Journal:  Nat Rev Urol       Date:  2021-05-17       Impact factor: 14.432

8.  Artificial intelligence in breast cancer screening: primary care provider preferences.

Authors:  Nathaniel Hendrix; Brett Hauber; Christoph I Lee; Aasthaa Bansal; David L Veenstra
Journal:  J Am Med Inform Assoc       Date:  2021-06-12       Impact factor: 4.497

9.  Machine learning in cardiovascular radiology: ESCR position statement on design requirements, quality assessment, current applications, opportunities, and challenges.

Authors:  Thomas Weikert; Marco Francone; Suhny Abbara; Bettina Baessler; Byoung Wook Choi; Matthias Gutberlet; Elizabeth M Hecht; Christian Loewe; Elie Mousseaux; Luigi Natale; Konstantin Nikolaou; Karen G Ordovas; Charles Peebles; Claudia Prieto; Rodrigo Salgado; Birgitta Velthuis; Rozemarijn Vliegenthart; Jens Bremerich; Tim Leiner
Journal:  Eur Radiol       Date:  2020-11-19       Impact factor: 5.315

10.  Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health.

Authors:  Leonard Bickman
Journal:  Adm Policy Ment Health       Date:  2020-09
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