Unity Health Toronto

Performance of an Artificial Intelligence Chatbot in Ophthalmic Knowledge Assessment

Andrew Mihalache, Marko M. Popovic, Rajeev H. Muni

2023 · 307 Zit.

Do providers use computerized clinical decision support systems? A systematic review and meta-regression of clinical decision support uptake

Andrew Kouri, Janet Yamada, Jeffrey Lam Shin Cheung et al.

2022 · 125 Zit.

Machine learning in vascular surgery: a systematic review and critical appraisal

Ben Li, Tiam Feridooni, César Cuen-Ojeda et al.

2022 · 121 Zit.

ChatGPT-4: An assessment of an upgraded artificial intelligence chatbot in the United States Medical Licensing Examination

Andrew Mihalache, Ryan S. Huang, Marko M. Popovic et al.

2023 · 112 Zit.

APPRAISE-AI Tool for Quantitative Evaluation of AI Studies for Clinical Decision Support

Jethro C.C. Kwong, Adree Khondker, Katherine Lajkosz et al.

2023 · 110 Zit.

Ethical concerns around use of artificial intelligence in health care research from the perspective of patients with meningioma, caregivers and health care providers: a qualitative study

Melissa D. McCradden, Ami Baba, Ashirbani Saha et al.

2020 · 100 Zit.

Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays

Susanne Gaube, Harini Suresh, Martina Raue et al.

2023 · 88 Zit.

Accuracy of an Artificial Intelligence Chatbot’s Interpretation of Clinical Ophthalmic Images

Andrew Mihalache, Ryan S. Huang, Marko M. Popovic et al.

2024 · 83 Zit.

Exploring patient perspectives on how they can and should be engaged in the development of artificial intelligence (AI) applications in health care

Samira Adus, Jillian Macklin, Andrew D. Pinto

2023 · 83 Zit.

A Delphi consensus statement for digital surgery

Kyle Lam, Michael D. Abràmoff, José M. Balibrea et al.

2022 · 81 Zit.

Age-related bias and artificial intelligence: a scoping review

Charlene H. Chu, Simon Donato‐Woodger, Shehroz S. Khan et al.

2023 · 76 Zit.

Is primary health care ready for artificial intelligence? What do primary health care stakeholders say?

Amanda Terry, Jacqueline K. Kueper, Ron Beleno et al.

2022 · 65 Zit.

Standardized Reporting of Machine Learning Applications in Urology: The STREAM-URO Framework

Jethro C.C. Kwong, Louise C. McLoughlin, Masoom A. Haider et al.

2021 · 63 Zit.

Performance of an Upgraded Artificial Intelligence Chatbot for Ophthalmic Knowledge Assessment

Andrew Mihalache, Ryan S. Huang, Marko M. Popovic et al.

2023 · 63 Zit.

Problems in the deployment of machine-learned models in health care

Joseph Cohen, Tianshi Cao, Joseph D. Viviano et al.

2021 · 62 Zit.