Journal
TRANSLATIONAL VISION SCIENCE & TECHNOLOGY
Volume 9, Issue 2, Pages -Publisher
ASSOC RESEARCH VISION OPHTHALMOLOGY INC
DOI: 10.1167/tvst.9.2.7
Keywords
artificial intelligence; machine learning; critical appraisal
Categories
Funding
- National Institute for Health Research (NIHR) [NIHR-CS-2014-14-023]
- NIHR Biomedical Research Centre based at Moorfields Eye Hospital National Health Service Foundation Trust
- University College London Institute of Ophthalmology
- MRC [MC_PC_19005, MR/T000953/1] Funding Source: UKRI
- UKRI [MR/T019050/1] Funding Source: UKRI
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In recent years, there has been considerable interest in the prospect of machine learning models demonstrating expert-level diagnosis in multiple disease contexts. However, there is concern that the excitement around this field may be associated with inadequate scrutiny of methodology and insufficient adoption of scientific good practice in the studies involving artificial intelligence in health care. This article aims to empower clinicians and researchers to critically appraise studies of clinical applications of machine learning, through: (1) introducing basic machine learning concepts and nomenclature; (2) outlining key applicable principles of evidence-based medicine; and (3) highlighting some of the potential pitfalls in the design and reporting of these studies.
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