The use of machine learning (ML) in healthcare raises numerous ethical concerns,
especially as models can amplify existing health inequities. Here, we outline ethical …

An emphasis on overly broad notions of generalisability as it pertains to applications of
machine learning in health care can overlook situations in which machine learning might …

Background There is interest in using convolutional neural networks (CNNs) to analyze
medical imaging to provide computer-aided diagnosis (CAD). Recent work has suggested …

Background Although there is evidence for the efficacy of internet-based cognitive
behavioral therapy (iCBT), the generalizability of results to routine care is limited. Objective …

Introduction: There is increasing interest in the potential for psychedelic drugs such as
psilocybin, LSD and ketamine to treat several mental health disorders, with a growing …

When assessing causal effects, determining the target population to which the results are
intended to generalize is a critical decision. Randomized and observational studies each …

Abstract Randomized Controlled Trials (RCTs) are increasingly popular in the social
sciences, not only in medicine. We argue that the lay public, and sometimes researchers, put …

Evidence for Health Decision Making — Beyond Randomized, Controlled Trials | New England
Journal of Medicine Skip to main content The New England Journal of Medicine homepage …

Background Although depression has frequently been associated with Internet Gaming
Disorder (IGD), its epidemiological impact on this emerging condition has not been …

Aim Chemotherapy side effects are often reported in clinical trials; however, there is little
evidence about their incidence in routine clinical care. The objective of this study was to …