Baptiste Vasey

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University of Oxford

United Kingdom

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Recent Grants

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DPhil full scholarship - A machine learning decision support system based on patient similarity to improve the management of postoperative complications

Open Date: 2018-10-01

Close Date: 2021-12-01

Articles (10)

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2023

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2022

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2022

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2022

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2022

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2022

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2022

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2021

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2021

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2021

Collaborators (10)

George Fowler

University of Bristol

UNITED KINGDOM

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Sarah Vollam

Reader in Nursing, Midwifery and Allied Health Professionals Clinical Research

Oxford Brookes University

UNITED KINGDOM

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Wendy Rogers

Macquarie University

AUSTRALIA

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Charisma Hehakaya

Assistant professor

University Medical Center Groningen

NETHERLANDS

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Gary Collins

Professor of Medical Statistics

University of Oxford

UNITED KINGDOM

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Valentina Giannini

University of Turin

ITALY

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Samaneh Kouchaki

Lecturer

University of Surrey

UNITED KINGDOM

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Konstantinos Kamnitsas

Associate Professor

University of Oxford

UNITED KINGDOM

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Peter McCulloch

Professor of Surgical Science & Practice

University of Oxford

UNITED KINGDOM

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Joon-Il Choi

Associate professor

Catholic University of Korea Eunpyeong St Mary's Hospital

SOUTH KOREA

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Baptiste Vasey

Research Interests

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Contact this professor

Recent Grants

Articles (10)

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

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

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

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

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

Examining the empirical evidence for IDEAL 2b studies: the effects of preceding prospective collaborative cohort studies on the quality and impact of subsequent randomized controlled trials of surgical innovations – protocol for a systematic review and case–control analysis

Beyond the RCT: When are Randomized Trials Unnecessary for New Therapeutic Devices, and What Should We Do Instead?

Development and validation of early warning score systems for COVID-19 patients.

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

Association of Clinician Diagnostic Performance with Machine Learning-Based Decision Support Systems: A Systematic Review

Collaborators (10)

George Fowler

Sarah Vollam

Wendy Rogers

Charisma Hehakaya

Gary Collins

Valentina Giannini

Samaneh Kouchaki

Konstantinos Kamnitsas

Peter McCulloch

Joon-Il Choi

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