Artificial intelligence-based risk assessment tools for sexual, reproductive and mental health: a systematic review.

ABSTRACT:

Background

Artificial intelligence (AI), which emulates human intelligence through knowledge-based heuristics, has transformative impacts across various industries. In the global healthcare sector, there is a pressing need for advanced risk assessment tools due to the shortage of healthcare workers to manage the health needs of the growing population effectively. AI-based tools such as triage systems, symptom checkers, and risk prediction models are poised to democratize healthcare. This systematic review aims to comprehensively assess the current landscape of AI tools in healthcare and identify areas for future research, focusing particularly on sexual reproductive and mental health.

Methods

Adhering to PRISMA guidelines, this review utilized data from seven databases: Scie

SUBMITTER: Islam S 

PROVIDER: S-EPMC11912754 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature