Challenges of artificial inteligence and its possible solutions from a human editorialist point of view

López DM, Rico-Olarte C, Blobel B, Hullin C. Challenges and solutions for transforming health ecosystems in low- and middle-income countries through artificial intelligence. Front Med. 2022;9:958097. https://doi.org/10.3389/fmed.2022.9580

Johnson AEW, Bulgarelli L, Shen L, Gayles A, Shammout A, Horng S, et al. MIMIC-IV, a freely accessible electronic health record dataset. Sci Data. 2023;10:1. https://doi.org/10.1038/s41597-022-01899-x

Obermeyer Z, Powers B, Vogeli C, Mullainathan S. Dissecting racial bias in an algorithm used to manage the health of populations. Science. 2019;366:447-53. https://doi.org/10.1126/science.aax2342

Celi LA, Cellini J, Charpignon ML, Dee EC, Dernoncourt F, Eber R, et al. Sources of bias in artificial intelligence that perpetuate healthcare disparities–A global review. PLOS Digit Health. 2022;1:e0000022. https://doi.org/10.1371/journal.pdig.0000022

Anonymous. Setting guidelines to report the use of IA in clinical trials. Nat Med. 2020;26:1311. https://doi.org/10.1038/s41591-020-1069-z

DECIDE-AI Steering Group. DECIDE-AI: New reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence. Nat Med. 2021;27:186-7. https://doi.org/10.1038/s41591-021-01229-5