Ethical, Legal, and Social Issues in AI

Articles published in 2023 in this theme: 11 (scroll down to load remaining articles)

2023

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Developing Ethics and Equity Principles, Terms, and Engagement Tools to Advance Health Equity and Researcher Diversity in AI and Machine Learning: Modified Delphi Approach

Rachele Hendricks-Sturrup, Malaika Simmons, Shilo Anders, Kammarauche Aneni, Ellen Wright Clayton, Joseph Coco, Benjamin Collins, Elizabeth Heitman, Sajid Hussain, Karuna Joshi, Josh Lemieux, Laurie Lovett Novak, Daniel J Rubin, Anil Shanker, Talitha Washington, Gabriella Waters, Joyce Webb Harris, Rui Yin, Teresa Wagner, Zhijun Yin, Bradley Malin

JMIR AI 2023 (Dec 06); 2:e52888

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Insights on the Current State and Future Outlook of AI in Health Care: Expert Interview Study

Pia Hummelsberger, Timo K Koch, Sabrina Rauh, Julia Dorn, Eva Lermer, Martina Raue, Matthias F C Hudecek, Andreas Schicho, Errol Colak, Marzyeh Ghassemi, Susanne Gaube

JMIR AI 2023 (Oct 31); 2:e47353

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Physicians’ and Machine Learning Researchers’ Perspectives on Ethical Issues in the Early Development of Clinical Machine Learning Tools: Qualitative Interview Study

Jane Paik Kim, Katie Ryan, Max Kasun, Justin Hogg, Laura B Dunn, Laura Weiss Roberts

JMIR AI 2023 (Oct 30); 2:e47449

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Association of Health Care Work With Anxiety and Depression During the COVID-19 Pandemic: Structural Topic Modeling Study

Matteo Malgaroli, Emily Tseng, Thomas D Hull, Emma Jennings, Tanzeem K Choudhury, Naomi M Simon

JMIR AI 2023 (Oct 24); 2:e47223

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Identifying the Question Similarity of Regulatory Documents in the Pharmaceutical Industry by Using the Recognizing Question Entailment System: Evaluation Study

Nidhi Saraswat, Chuqin Li, Min Jiang

JMIR AI 2023 (Sep 26); 2:e43483

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Artificial Intelligence in Health Care—Understanding Patient Information Needs and Designing Comprehensible Transparency: Qualitative Study

Renee Robinson, Cara Liday, Sarah Lee, Ishan C Williams, Melanie Wright, Sungjoon An, Elaine Nguyen

JMIR AI 2023 (Jun 19); 2:e46487

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Forecasting Artificial Intelligence Trends in Health Care: Systematic International Patent Analysis

Stan Benjamens, Pranavsingh Dhunnoo, Márton Görög, Bertalan Mesko

JMIR AI 2023 (May 26); 2:e47283

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Enabling Early Health Care Intervention by Detecting Depression in Users of Web-Based Forums using Language Models: Longitudinal Analysis and Evaluation

David Owen, Dimosthenis Antypas, Athanasios Hassoulas, Antonio F Pardiñas, Luis Espinosa-Anke, Jose Camacho Collados

JMIR AI 2023 (Mar 24); 2:e41205

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Preparing for an Artificial Intelligence–Enabled Future: Patient Perspectives on Engagement and Health Care Professional Training for Adopting Artificial Intelligence Technologies in Health Care Settings

Tharshini Jeyakumar, Sarah Younus, Melody Zhang, Megan Clare, Rebecca Charow, Inaara Karsan, Azra Dhalla, Dalia Al-Mouaswas, Jillian Scandiffio, Justin Aling, Mohammad Salhia, Nadim Lalani, Scott Overholt, David Wiljer

JMIR AI 2023 (Mar 02); 2:e40973

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Strategies to Improve the Impact of Artificial Intelligence on Health Equity: Scoping Review

Carl Thomas Berdahl, Lawrence Baker, Sean Mann, Osonde Osoba, Federico Girosi

JMIR AI 2023 (Feb 07); 2:e42936

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Artificial Intelligence Algorithms in Health Care: Is the Current Food and Drug Administration Regulation Sufficient?

Meghavi Mashar, Shreya Chawla, Fangyue Chen, Baker Lubwama, Kyle Patel, Mihir A Kelshiker, Patrik Bachtiger, Nicholas S Peters

JMIR AI 2023 (Jan 16); 2:e42940

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