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AI-enabled wellness apps exist in a regulatory gray area and may pose risks if used to manage mental health issues; this Perspective outlines the possible risks to users and the implications for app developers and regulators.
Causal machine learning methods could be used to predict treatment outcomes for subgroups and even individual patients; this Perspective outlines the potential benefits and limitations of the approach, offering practical guidance for appropriate clinical use.
Self-care interventions have the potential to improve health coverage for women while offering greater agency and autonomy, but only if certain barriers—such as stigma and cost—can be overcome.
The unique risks and needs of women in relation to noncommunicable diseases offer myriad opportunities to intervene and prevent disease, but several key barriers to implementation must be addressed.
