Impact

Artificial Intelligence and Ethics in Dentistry: A Scoping Review

Carl‐Maria Mörch, Saadet Atsü, Wenji Cai et al.

2021 · 150 Zit.

“AI’s gonna have an impact on everything in society, so it has to have an impact on public health”: a fundamental qualitative descriptive study of the implications of artificial intelligence for public health

J. Morgenstern, Laura C. Rosella, Mark Daley et al.

2021 · 105 Zit.

Large Language Models for Chatbot Health Advice Studies

Bright Huo, Amy Boyle, Nana Marfo et al.

2025 · 95 Zit.

Applications of artificial intelligence and machine learning in heart failure

Tauben Averbuch, Kristen Sullivan, Andrew J. Sauer et al.

2022 · 93 Zit.

Assessing the Risk of Bias in Randomized Clinical Trials With Large Language Models

Honghao Lai, Long Ge, Mingyao Sun et al.

2024 · 73 Zit.

Reporting standards for the use of large language model-linked chatbots for health advice

Bright Huo, Giovanni Cacciamani, Gary S. Collins et al.

2023 · 53 Zit.

Salami-slicing and plagiarism: How should we respond?

Martin G. Tolsgaard, Rachel Ellaway, Nicole N. Woods et al.

2019 · 49 Zit.

Tailored PRISMA 2020 flow diagrams for living systematic reviews: a methodological survey and a proposal

Lara A Kahale, Rayane El-Khoury, Ibrahim El Mikati et al.

2022 · 48 Zit.

Exploring the characteristics, global distribution and reasons for retraction of published articles involving human research participants: a literature survey

Guowei Li, Mariam Kamel, Yanling Jin et al.

2018 · 43 Zit.

Attitudes and perceptions of medical researchers towards the use of artificial intelligence chatbots in the scientific process: an international cross-sectional survey

Jeremy Y. Ng, Sharleen G. Maduranayagam, Nirekah Suthakar et al.

2024 · 43 Zit.

Potential benefits, unintended consequences, and future roles of artificial intelligence in orthopaedic surgery research

Kyle N. Kunze, Melissa N. Orr, Viktor E. Krebs et al.

2022 · 34 Zit.

Machine Learning Approaches to Retrieve High-Quality, Clinically Relevant Evidence From the Biomedical Literature: Systematic Review

Wael Abdelkader, Tamara Navarro, Rick Parrish et al.

2021 · 32 Zit.

Challenges of evidence synthesis during the 2020 COVID pandemic: a scoping review

Hanan Khalil, Lotfi Tamara, Gabriel Rada et al.

2021 · 30 Zit.

Evaluating the efficacy of artificial intelligence tools for the automation of systematic reviews in cancer research: A systematic review

Xiaomei Yao, Mithilesh V. Kumar, Esther Su et al.

2023 · 28 Zit.

AI for Detection of Tuberculosis: Implications for Global Health

Eui Jin Hwang, Won Gi Jeong, Pierre‐Marie David et al.

2024 · 26 Zit.