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

Journal: BMC medical informatics and decision making
PMID: 40098029

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.

Authors

  • Shifat Islam
    Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, 1000, Bangladesh.
  • Rifat Shahriyar
    Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, 1000, Bangladesh.
  • Abhishek Agarwala
    AIMS Lab, Institute of Research, Innovation, Incubation and Commercialization (IRIIC), United International University, Dhaka, 1212, Bangladesh.
  • Marzia Zaman
    AIMS Lab, Institute of Research, Innovation, Incubation and Commercialization (IRIIC), United International University, Dhaka, 1212, Bangladesh.
  • Shamim Ahamed
    AIMS Lab, Institute of Research, Innovation, Incubation and Commercialization (IRIIC), United International University, Dhaka, 1212, Bangladesh.
  • Rifat Rahman
    Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, 1000, Bangladesh.
  • Moinul H Chowdhury
    CMED Health Limited, Dhaka, 1206, Bangladesh.
  • Farhana Sarker
    CMED Health Limited, Dhaka, 1206, Bangladesh.
  • Khondaker A Mamun
    AIMS Lab, Department of Computer Science and Engineering, United International University, Dhaka, Bangladesh.

Keywords

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