AIMC Topic: Delphi Technique
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AI-generated questions for urological competency assessment: a prospective educational study.
BMC medical education
Apr 25, 2025
BACKGROUND: The integration of artificial intelligence (AI) in medical education assessment remains largely unexplored, particularly in specialty-specific evaluations during clinical rotations. Traditional question development methods are time-intens...
International expert consensus on the current status and future prospects of artificial intelligence in metabolic and bariatric surgery.
Scientific reports
Mar 18, 2025
Artificial intelligence (AI) is transforming the landscape of medicine, including surgical science and practice. The evolution of AI from rule-based systems to advanced machine learning and deep learning algorithms has opened new avenues for its appl...
Essential competencies of nurses working with AI-driven lifestyle monitoring in long-term care: A modified Delphi study.
Nurse education today
Mar 1, 2025
BACKGROUND: As more and more older adults prefer to stay in their homes as they age, there's a need for technology to support this. A relevant technology is Artificial Intelligence (AI)-driven lifestyle monitoring, utilizing data from sensors placed ...
Prioritisation of functional needs for ICU intelligent robots in China: a consensus study based on the national survey and nominal group technique.
BMJ open
Feb 26, 2025
OBJECTIVE: This study aims to define the prioritisation of the needs for an intelligent robot's functions in the intensive care unit (ICU) from a clinical perspective.
Machine learning-assisted construction of COPD self-evaluation questionnaire (COPD-EQ): a national multicentre study in China.
Journal of global health
Jan 3, 2025
BACKGROUND: Approximately 70% of chronic obstructive pulmonary disease (COPD) is underdiagnosed worldwide. We aimed to develop and validate a COPD self-evaluation questionnaire (COPD-EQ) that is better suited for COPD screening in China.
Assessing the accuracy and quality of artificial intelligence (AI) chatbot-generated responses in making patient-specific drug-therapy and healthcare-related decisions.
BMC medical informatics and decision making
Dec 24, 2024
BACKGROUND: Interactive artificial intelligence tools such as ChatGPT have gained popularity, yet little is known about their reliability as a reference tool for healthcare-related information for healthcare providers and trainees. The objective of t...
Artificial intelligence in emergency and trauma radiology: ASER AI/ML expert panel Delphi consensus statement on research guidelines, practices, and priorities.
Emergency radiology
Dec 23, 2024
BACKGROUND: Emergency/trauma radiology artificial intelligence (AI) is maturing along all stages of technology readiness, with research and development (R&D) ranging from data curation and algorithm development to post-market monitoring and retrainin...
QUAIDE - Quality assessment of AI preclinical studies in diagnostic endoscopy.
Gut
Dec 10, 2024
Artificial intelligence (AI) holds significant potential for enhancing quality of gastrointestinal (GI) endoscopy, but the adoption of AI in clinical practice is hampered by the lack of rigorous standardisation and development methodology ensuring ge...
Creating a standardized tool for the evaluation and comparison of artificial intelligence-based computer-aided detection programs in colonoscopy: a modified Delphi approach.
Gastrointestinal endoscopy
Nov 26, 2024
BACKGROUND AND AIMS: Multiple computer-aided detection (CADe) software programs have now achieved regulatory approval in the United States, Europe, and Asia and are being used in routine clinical practice to support colorectal cancer screening. There...
Health technology assessment framework for artificial intelligence-based technologies.
International journal of technology assessment in health care
Nov 21, 2024
OBJECTIVES: Artificial intelligence (AI)-based health technologies (AIHTs) have already been applied in clinical practice. However, there is currently no standardized framework for evaluating them based on the principles of health technology assessme...
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