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Literature DB >> 31755905

Addressing Bias in Artificial Intelligence in Health Care.

Ravi B Parikh^1,2, Stephanie Teeple¹, Amol S Navathe^1,2.

Abstract

Mesh：

Year: 2019 PMID： 31755905 DOI： 10.1001/jama.2019.18058

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

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52 in total

Review 1. Epidemiology of Atrial Fibrillation in the 21st Century: Novel Methods and New Insights.

Authors: Jelena Kornej; Christin S Börschel; Emelia J Benjamin; Renate B Schnabel
Journal: Circ Res Date: 2020-06-18 Impact factor: 17.367

2. Low-Shot Deep Learning of Diabetic Retinopathy With Potential Applications to Address Artificial Intelligence Bias in Retinal Diagnostics and Rare Ophthalmic Diseases.

Authors: Philippe Burlina; William Paul; Philip Mathew; Neil Joshi; Katia D Pacheco; Neil M Bressler
Journal: JAMA Ophthalmol Date: 2020-10-01 Impact factor: 7.389

3. Digital Technologies for Emotion-Regulation Assessment and Intervention: A Conceptual Review.

Authors: Alexandra H Bettis; Taylor A Burke; Jacqueline Nesi; Richard T Liu
Journal: Clin Psychol Sci Date: 2021-06-03

Review 4. Risks and Opportunities to Ensure Equity in the Application of Big Data Research in Public Health.

Authors: Paul Wesson; Yulin Hswen; Gilmer Valdes; Kristefer Stojanovski; Margaret A Handley
Journal: Annu Rev Public Health Date: 2021-12-06 Impact factor: 21.981

5. Systematic review of prediction models for postacute care destination decision-making.

Authors: Erin E Kennedy; Kathryn H Bowles; Subhash Aryal
Journal: J Am Med Inform Assoc Date: 2021-12-28 Impact factor: 4.497

Review 6. Research Priorities in Atrial Fibrillation Screening: A Report From a National Heart, Lung, and Blood Institute Virtual Workshop.

Authors: Emelia J Benjamin; Alan S Go; Patrice Desvigne-Nickens; Christopher D Anderson; Barbara Casadei; Lin Y Chen; Harry J G M Crijns; Ben Freedman; Mellanie True Hills; Jeff S Healey; Hooman Kamel; Dong-Yun Kim; Mark S Link; Renato D Lopes; Steven A Lubitz; David D McManus; Peter A Noseworthy; Marco V Perez; Jonathan P Piccini; Renate B Schnabel; Daniel E Singer; Robert G Tieleman; Mintu P Turakhia; Isabelle C Van Gelder; Lawton S Cooper; Sana M Al-Khatib
Journal: Circulation Date: 2021-01-25 Impact factor: 29.690

Addressing Bias in Artificial Intelligence in Health Care.

Review 1. Epidemiology of Atrial Fibrillation in the 21st Century: Novel Methods and New Insights.

2. Low-Shot Deep Learning of Diabetic Retinopathy With Potential Applications to Address Artificial Intelligence Bias in Retinal Diagnostics and Rare Ophthalmic Diseases.

3. Digital Technologies for Emotion-Regulation Assessment and Intervention: A Conceptual Review.

Review 4. Risks and Opportunities to Ensure Equity in the Application of Big Data Research in Public Health.

5. Systematic review of prediction models for postacute care destination decision-making.

Review 6. Research Priorities in Atrial Fibrillation Screening: A Report From a National Heart, Lung, and Blood Institute Virtual Workshop.

Review 7. Artificial intelligence in oncology: Path to implementation.

8. An empirical characterization of fair machine learning for clinical risk prediction.

9. Impact of Artificial Intelligence on Medical Education in Ophthalmology.

10. Ethical Applications of Artificial Intelligence: Evidence From Health Research on Veterans.