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Delphi Technique

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SAGES consensus recommendations on an annotation framework for surgical video.

Surgical endoscopy
BACKGROUND: The growing interest in analysis of surgical video through machine learning has led to increased research efforts; however, common methods of annotating video data are lacking. There is a need to establish recommendations on the annotatio...

Identifying curriculum content for a cross-specialty robotic-assisted surgery training program: a Delphi study.

Surgical endoscopy
BACKGROUND: Robotic-assisted surgery is increasing and there is a need for a structured and evidence-based curriculum to learn basic robotic competencies. Relevant training tasks, eligible trainees, realistic learning goals, and suitable training met...

Artificial intelligence in medical education curriculum: An e-Delphi study for competencies.

PloS one
BACKGROUND: Artificial intelligence (AI) has affected our day-to-day in a great extent. Healthcare industry is one of the mainstream fields among those and produced a noticeable change in treatment and education. Medical students must comprehend well...

Consensus priority research questions in gastrointestinal and endoscopic surgery in the year 2020: results of a SAGES Delphi study.

Surgical endoscopy
INTRODUCTION: The objectives of this study were to identify consensus priority research questions according to members of the Society of American Gastrointestinal and Endoscopic Surgeons (SAGES), and to explore differences in priorities according to ...

Strategies to Implement Pet Robots in Long-Term Care Facilities for Dementia Care: A Modified Delphi Study.

Journal of the American Medical Directors Association
OBJECTIVES: Pet robots are technology-based substitutes for live animals that have demonstrated psychosocial benefits for people living with dementia in long-term care. However, little research has been conducted to understand how pet robots should b...

Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade.

EBioMedicine
BACKGROUND: Artificial intelligence (AI) is rapidly fuelling a fundamental transformation in the practice of pathology. However, clinical integration remains challenging, with no AI algorithms to date in routine adoption within typical anatomic patho...

Robot-assisted pelvic floor reconstructive surgery: an international Delphi study of expert users.

Surgical endoscopy
BACKGROUND: Robotic surgery has gained popularity for the reconstruction of pelvic floor defects. Nonetheless, there is no evidence that robot-assisted reconstructive surgery is either appropriate or superior to standard laparoscopy for the performan...

Developing DELPHI expert consensus rules for a digital twin model of acute stroke care in the neuro critical care unit.

BMC neurology
INTRODUCTION: Digital twins, a form of artificial intelligence, are virtual representations of the physical world. In the past 20 years, digital twins have been utilized to track wind turbines' operations, monitor spacecraft's status, and even create...

What Are We Talking About When We Talk About Information-Driven Care? A Delphi-Study on a Definition.

Studies in health technology and informatics
In Sweden, the term information-driven care has recently been put forward by healthcare organizations and researchers as a means for taking a comprehensive approach to the introduction of Artificial Intelligence (AI) in healthcare. The aim of this st...

Defining Medical AI Competencies for Medical School Graduates: Outcomes of a Delphi Survey and Medical Student/Educator Questionnaire of South Korean Medical Schools.

Academic medicine : journal of the Association of American Medical Colleges
PURPOSE: Given the increasing significance and potential impact of artificial intelligence (AI) technology on health care delivery, there is an increasing demand to integrate AI into medical school curricula. This study aimed to define medical AI com...