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Search results (24)

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Safe AI-enabled digital health technologies need built-in open feedback.

Mathias R. et al, (2025), Nat Med, 31, 370 - 375

Correction: The IDEAL framework for surgical robotics: development, comparative evaluation and long-term monitoring.

Marcus HJ. et al, (2024), Nat Med, 30

The IDEAL framework for surgical robotics: development, comparative evaluation and long-term monitoring.

Marcus HJ. et al, (2024), Nat Med, 30, 61 - 75

Holistic Human-Serving Digitization of Health Care Needs Integrated Automated System-Level Assessment Tools.

Welzel C. et al, (2023), J Med Internet Res, 25

Intraoperative Applications of Artificial Intelligence in Robotic Surgery: A Scoping Review of Current Development Stages and Levels of Autonomy.

Vasey B. et al, (2023), Ann Surg, 278, 896 - 903

Early development of decision support systems based on artificial intelligence: an application to postoperative complications and a cross-specialty reporting guideline for early-stage clinical evaluation

Vasey B., (2023)

Invited Commentary: Transparent reporting of artificial intelligence models development and evaluation in surgery: The TRIPOD and DECIDE-AI checklists.

Vasey B. and Collins GS., (2023), Surgery, 174, 727 - 729

Holistic Human-Serving Digitization of Health Care Needs Integrated Automated System-Level Assessment Tools (Preprint)

Welzel C. et al, (2023)

ificial intelligence in medical device software and high-risk medical devices - a review of definitions, expert recommendations and regulatory initiatives.

Fraser AG. et al, (2023), Expert Rev Med Devices, 20, 467 - 491

DECIDE-AI: a new reporting guideline and its relevance to artificial intelligence studies in radiology.

Vasey B. et al, (2023), Clin Radiol, 78, 130 - 136

PRISMA AI reporting guidelines for systematic reviews and meta-analyses on AI in healthcare.

Cacciamani GE. et al, (2023), Nat Med, 29, 14 - 15

Randomized Clinical Trials of Artificial Intelligence in Medicine: Why, When, and How?

Park SH. et al, (2022), Korean J Radiol, 23, 1119 - 1125

Publisher Correction: Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI.

Vasey B. et al, (2022), Nat Med, 28

mated operative workflow analysis of endoscopic pituitary surgery using machine learning: development and preclinical evaluation (IDEAL stage 0).

Khan DZ. et al, (2022), J Neurosurg, 137, 51 - 58

Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI.

Vasey B. et al, (2022), BMJ, 377

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