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Peter McCulloch

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Professor of Surgical Science & Practice

University of Oxford

United Kingdom

Research Interests

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Professors in United Kingdom Professors in Digital Health Digital Health professors in United Kingdom

About

Professor Peter McCulloch is a Professor of Surgical Science & Practice at the University of Oxford, UK. His research focuses on the implementation of digital health technologies, evaluation frameworks for global surgery innovation, and the integration of artificial intelligence in healthcare. He has authored several recent articles examining patient-led systems, regulatory needs for digital health, and assessment tools for surgical practices.

Recent Grants

Grant: Close

ASSESS-DHT: Development and harmonisation of methodologies for assessing digital health technologies in Europe

Open Date: 2023-10-01

Close Date: 2026-09-01

Grant: Close

RESPOND Study (Rescue for emergency surgery patients observed to undergo acute deterioration)

Open Date: 2021-04-01

Close Date: 2025-10-01

Grant: Close

Empirical study of the use of IDEAL in device evaluation

Open Date: 2021-04-01

Close Date: 2024-03-01

Articles (19)

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2021

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2021

Collaborators (15)

George Fowler

University of Bristol

UNITED KINGDOM

Peter McCulloch

Research Interests

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About

Recent Grants

Articles (19)

RESPOND intervention: protocol for a cluster-randomized stepped-wedge trial of a human factors intervention to reduce failure to rescue in emergency general surgery

Evaluation of Human Factors–Related Risks in AI-Enabled Medical Devices — A Practical Guide

No frugal innovation without frugal evaluation: the Global IDEAL Sub-Framework

How can regulation and reimbursement better accommodate flexible suites of digital health technologies?

Understanding the enablers and barriers to implementing a patient-led escalation system: a qualitative study

Digital health technologies need regulation and reimbursement that enable flexible interactions and groupings

IDEAL evaluation for global surgery innovation

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

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

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

IDEAL, Versius, Reality

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

Assessing the development status of intraoperative fluorescence imaging for anatomy visualisation, using the IDEAL framework

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

Versius in urology: an IDEAL start

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

Radiography as a sociotechnical system – Improving patient identification with a multi-level human factors approach

Assessing the development status of intraoperative fluorescence imaging for perfusion assessments, using the IDEAL framework

Failure to rescue following emergency surgery: A FRAM analysis of the management of the deteriorating patient.

Collaborators (15)

George Fowler

Janet Martin

Wendy Rogers

Baptiste Vasey

michele maria carvello

Charisma Hehakaya

Nicola Mackintosh

Valentina Giannini

Rounaq Nayak

julia brown

Al Ross

Konstantinos Kamnitsas

John Mongan

Mark Sujan

Alastair K. Denniston

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