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Generative AI in Medicine: Pioneering Progress or Perpetuating Historical Inaccuracies? Cross-Sectional Study Evaluating Implicit Bias

Generative AI in Medicine: Pioneering Progress or Perpetuating Historical Inaccuracies? Cross-Sectional Study Evaluating Implicit Bias

Lin et al [10] evaluated 12 distinctive images per specialty and demonstrated no significant differences between the AAMC residency data and the ethnic makeup of AI -generated faces. Their results are inconsistent with our data where we instead demonstrated a significant difference in gender among 12/19 specialties when comparing AI-generated images to AAMC residency data.

Philip Sutera, Rohini Bhatia, Timothy Lin, Leslie Chang, Andrea Brown, Reshma Jagsi

JMIR AI 2025;4:e56891

Digital Decision Aids to Support Decision-Making in Palliative and End-of-Life Dementia Care: Systematic Review and Meta-Analysis

Digital Decision Aids to Support Decision-Making in Palliative and End-of-Life Dementia Care: Systematic Review and Meta-Analysis

After removing the duplicate results, titles and abstracts were screened based on the eligibility criteria independently by 2 reviewers (J Zhong and WL). All full texts were screened independently by 2 reviewers (J Zhong and WL). Any disagreement was resolved through discussion between the 2 reviewers, and a third reviewer (TW) was consulted when needed. Study screening and selection were conducted on Covidence (Veritas Health Innovation Ltd).

Jie Zhong, Wei Liang, Tongyao Wang, Pui Hing Chau, Nathan Davies, Junqiang Zhao, Ho Nee Connie Chu, Chia Chin Lin

J Med Internet Res 2025;27:e71479