AI Medical Compendium Journal:
BMJ evidence-based medicine

Showing 1 to 8 of 8 articles

What makes a 'good' decision with artificial intelligence? A grounded theory study in paediatric care.

BMJ evidence-based medicine
OBJECTIVE: To develop a framework for good clinical decision-making using machine learning (ML) models for interventional, patient-level decisions.

Novel AI applications in systematic review: GPT-4 assisted data extraction, analysis, review of bias.

BMJ evidence-based medicine
OBJECTIVE: To assess custom GPT-4 performance in extracting and evaluating data from medical literature to assist in the systematic review (SR) process.

Integrating large language models in systematic reviews: a framework and case study using ROBINS-I for risk of bias assessment.

BMJ evidence-based medicine
Large language models (LLMs) may facilitate and expedite systematic reviews, although the approach to integrate LLMs in the review process is unclear. This study evaluates GPT-4 agreement with human reviewers in assessing the risk of bias using the R...

Evidence-based medicine and machine learning: a partnership with a common purpose.

BMJ evidence-based medicine
From its origins in epidemiology, evidence-based medicine has promulgated a rigorous approach to assessing the validity, impact and applicability of hypothesis-driven empirical research used to evaluate the utility of diagnostic tests, prognostic too...

Developing a fully automated evidence synthesis tool for identifying, assessing and collating the evidence.

BMJ evidence-based medicine
Evidence synthesis is a key element of evidence-based medicine. However, it is currently hampered by being labour intensive meaning that many trials are not incorporated into robust evidence syntheses and that many are out of date. To overcome this, ...