AIMC Topic: Evidence-Based Medicine

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Toward systematic review automation: a practical guide to using machine learning tools in research synthesis.

Systematic reviews
Technologies and methods to speed up the production of systematic reviews by reducing the manual labour involved have recently emerged. Automation has been proposed or used to expedite most steps of the systematic review process, including search, sc...

What should medical students know about artificial intelligence in medicine?

Journal of educational evaluation for health professions
Artificial intelligence (AI) is expected to affect various fields of medicine substantially and has the potential to improve many aspects of healthcare. However, AI has been creating much hype, too. In applying AI technology to patients, medical prof...

An ontological foundation for ocular phenotypes and rare eye diseases.

Orphanet journal of rare diseases
BACKGROUND: The optical accessibility of the eye and technological advances in ophthalmic diagnostics have put ophthalmology at the forefront of data-driven medicine. The focus of this study is rare eye disorders, a group of conditions whose clinical...

Applying Artificial Intelligence to Address the Knowledge Gaps in Cancer Care.

The oncologist
BACKGROUND: Rapid advances in science challenge the timely adoption of evidence-based care in community settings. To bridge the gap between what is possible and what is practiced, we researched approaches to developing an artificial intelligence (AI)...

OC-2-KB: integrating crowdsourcing into an obesity and cancer knowledge base curation system.

BMC medical informatics and decision making
BACKGROUND: There is strong scientific evidence linking obesity and overweight to the risk of various cancers and to cancer survivorship. Nevertheless, the existing online information about the relationship between obesity and cancer is poorly organi...

Critical gaps in the medical knowledge base of eating disorders.

Eating and weight disorders : EWD
Eating disorders are unique in that they inherently have much medical comorbidity both as a part of restricting-type eating disorders and those characterized by purging behaviors. Over the last three decades, remarkable progress has been made in the ...