These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
208 related articles for article (PubMed ID: 38964129)
41. Regulating AI in Mental Health: Ethics of Care Perspective. Tavory T JMIR Ment Health; 2024 Sep; 11():e58493. PubMed ID: 39298759 [TBL] [Abstract][Full Text] [Related]
42. Ensuring patient and public involvement in the transition to AI-assisted mental health care: A systematic scoping review and agenda for design justice. Zidaru T; Morrow EM; Stockley R Health Expect; 2021 Aug; 24(4):1072-1124. PubMed ID: 34118185 [TBL] [Abstract][Full Text] [Related]
43. Which public health interventions are effective in reducing morbidity, mortality and health inequalities from infectious diseases amongst children in low-income and middle-income countries (LMICs): protocol for an umbrella review. Besnier E; Thomson K; Stonkute D; Mohammad T; Akhter N; Todd A; Jensen MR; Kilvik A; Bambra C BMJ Open; 2019 Dec; 9(12):e032981. PubMed ID: 31888932 [TBL] [Abstract][Full Text] [Related]
44. Artificial intelligence technologies and compassion in healthcare: A systematic scoping review. Morrow E; Zidaru T; Ross F; Mason C; Patel KD; Ream M; Stockley R Front Psychol; 2022; 13():971044. PubMed ID: 36733854 [TBL] [Abstract][Full Text] [Related]
45. Artificial intelligence (AI) or augmented intelligence? How big data and AI are transforming healthcare: Challenges and opportunities. Moodley K S Afr Med J; 2023 Dec; 114(1):22-26. PubMed ID: 38525617 [TBL] [Abstract][Full Text] [Related]
46. Public views on ethical issues in healthcare artificial intelligence: protocol for a scoping review. Frost EK; Bosward R; Aquino YSJ; Braunack-Mayer A; Carter SM Syst Rev; 2022 Jul; 11(1):142. PubMed ID: 35841073 [TBL] [Abstract][Full Text] [Related]
47. Artificial intelligence and smile design: An e-Delphi consensus statement of ethical challenges. Rokhshad R; Karteva T; Chaurasia A; Richert R; Mörch CM; Tamimi F; Ducret M J Prosthodont; 2024 Oct; 33(8):730-735. PubMed ID: 38655727 [TBL] [Abstract][Full Text] [Related]
48. Bias at warp speed: how AI may contribute to the disparities gap in the time of COVID-19. Röösli E; Rice B; Hernandez-Boussard T J Am Med Inform Assoc; 2021 Jan; 28(1):190-192. PubMed ID: 32805004 [TBL] [Abstract][Full Text] [Related]
49. How to mitigate the risks of deployment of artificial intelligence in medicine? Uygun Ilikhan S; Özer M; Tanberkan H; Bozkurt V Turk J Med Sci; 2024; 54(3):483-492. PubMed ID: 39050000 [TBL] [Abstract][Full Text] [Related]
50. Artificial Intelligence in Low- and Middle-Income Countries: Innovating Global Health Radiology. Mollura DJ; Culp MP; Pollack E; Battino G; Scheel JR; Mango VL; Elahi A; Schweitzer A; Dako F Radiology; 2020 Dec; 297(3):513-520. PubMed ID: 33021895 [TBL] [Abstract][Full Text] [Related]
51. Harnessing artificial intelligence in the post-COVID-19 era: A global health imperative. Gulumbe BH; Yusuf ZM; Hashim AM Trop Doct; 2023 Oct; 53(4):414-415. PubMed ID: 37340738 [TBL] [Abstract][Full Text] [Related]
52. Artificial Intelligence and Ethics in Dentistry: A Scoping Review. Mörch CM; Atsu S; Cai W; Li X; Madathil SA; Liu X; Mai V; Tamimi F; Dilhac MA; Ducret M J Dent Res; 2021 Dec; 100(13):1452-1460. PubMed ID: 34060359 [TBL] [Abstract][Full Text] [Related]
53. Are current clinical studies on artificial intelligence-based medical devices comprehensive enough to support a full health technology assessment? A systematic review. Farah L; Davaze-Schneider J; Martin T; Nguyen P; Borget I; Martelli N Artif Intell Med; 2023 Jun; 140():102547. PubMed ID: 37210155 [TBL] [Abstract][Full Text] [Related]
54. Constructing knowledge: the role of AI in medical learning. Lawson McLean A J Am Med Inform Assoc; 2024 Aug; 31(8):1797-1798. PubMed ID: 38812088 [TBL] [Abstract][Full Text] [Related]
55. Unmasking bias in artificial intelligence: a systematic review of bias detection and mitigation strategies in electronic health record-based models. Chen F; Wang L; Hong J; Jiang J; Zhou L J Am Med Inform Assoc; 2024 Apr; 31(5):1172-1183. PubMed ID: 38520723 [TBL] [Abstract][Full Text] [Related]
56. A critical perspective on guidelines for responsible and trustworthy artificial intelligence. Buruk B; Ekmekci PE; Arda B Med Health Care Philos; 2020 Sep; 23(3):387-399. PubMed ID: 32236794 [TBL] [Abstract][Full Text] [Related]
57. Forming and implementing community advisory boards in low- and middle-income countries: a scoping review. Zhao Y; Fitzpatrick T; Wan B; Day S; Mathews A; Tucker JD BMC Med Ethics; 2019 Oct; 20(1):73. PubMed ID: 31623624 [TBL] [Abstract][Full Text] [Related]
58. The Need for Ethnoracial Equity in Artificial Intelligence for Diabetes Management: Review and Recommendations. Pham Q; Gamble A; Hearn J; Cafazzo JA J Med Internet Res; 2021 Feb; 23(2):e22320. PubMed ID: 33565982 [TBL] [Abstract][Full Text] [Related]
59. Assessing the Economic Value of Clinical Artificial Intelligence: Challenges and Opportunities. Hendrix N; Veenstra DL; Cheng M; Anderson NC; Verguet S Value Health; 2022 Mar; 25(3):331-339. PubMed ID: 35227443 [TBL] [Abstract][Full Text] [Related]
60. Artificial Intelligence as a Potential Catalyst to a More Equitable Cancer Care. Garcia-Saiso S; Marti M; Pesce K; Luciani S; Mujica O; Hennis A; D'Agostino M JMIR Cancer; 2024 Aug; 10():e57276. PubMed ID: 39133537 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]