Rethinking evidence in medicine

We are launching a series on evidence in medicine, to discuss new approaches to assessing the safety and efficacy of cutting-edge health technologies and treatments.

Artificial intelligence algorithms have had mixed success in health, in part because regulation prevents them from evolving at the necessary rate.

Data sharing enhances the value of medical research and builds trust in clinical trials, but more biomedical researchers need to be trained in these approaches, which include meta-research, data science and ethical, legal and social issues.

Technological advances are transforming evidence generation in medicine; for these advances to impact public health, the clinical trial landscape must evolve and adapt to keep pace.