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Unity Health Toronto

2.889 Arbeiten250.800 Zitationen
Typ: healthcare

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Performance of an Artificial Intelligence Chatbot in Ophthalmic Knowledge Assessment

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

2023 · 295 Zit.

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

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

2022 · 119 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 · 107 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 · 97 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 · 96 Zit.

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

Susanne Gaube, Harini Suresh, Martina Raue et al.

2023 · 84 Zit.

A Delphi consensus statement for digital surgery

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

2022 · 78 Zit.

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

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

2024 · 78 Zit.

Age-related bias and artificial intelligence: a scoping review

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

2023 · 71 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.

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 · 63 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 · 60 Zit.

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

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

2021 · 60 Zit.

A real-world demonstration of machine learning generalizability in the detection of intracranial hemorrhage on head computerized tomography

Hojjat Salehinejad, Jumpei Kitamura, Noah Ditkofsky et al.

2021 · 58 Zit.

Evaluation of machine learning solutions in medicine

Tony Antoniou, Muhammad Mamdani

2021 · 47 Zit.