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Artificial intelligence utilization in cancer screening program across ASEAN: a scoping review.

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Cancer screening in ASEAN varies, but organized programs and AI integration show promise for improved early detection and management. This review highlights the need for standardized approaches to meet global targets.

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Area of Science:

  • Public Health
  • Oncology
  • Health Informatics

Background:

  • Cancer screening programs in the Association of Southeast Asian Nations (ASEAN) exhibit significant variations in approaches, target demographics, and intervals.
  • A comprehensive understanding of these diverse screening strategies is crucial for assessing program effectiveness.
  • The potential of artificial intelligence (AI) as a tool for cancer screening in the ASEAN region remains largely unexplored.

Purpose of the Study:

  • To identify and evaluate diverse cancer screening programs implemented across ASEAN member states.
  • To assess the current integration and impact of artificial intelligence (AI) in cancer screening initiatives within the ASEAN region.

Main Methods:

  • A scoping review was conducted following PRISMA-ScR guidelines to comprehensively map cancer screening programs and AI utilization in ASEAN.
  • Data were gathered from national health ministries, official guidelines, and extensive literature searches (PubMed, Scopus, Google Scholar) focusing on studies from January 2019 to May 2024.
  • Inclusion criteria focused on studies utilizing data specifically from the ASEAN region concerning cancer screening and AI applications.

Main Results:

  • Cancer screening approaches vary, with opportunistic screening prevalent in Myanmar, Laos, Cambodia, Vietnam, Brunei, Philippines, Indonesia, and Timor-Leste, contrasted by organized programs in Singapore, Malaysia, and Thailand.
  • Cervical cancer screening is widely implemented using both opportunistic and organized methods.
  • AI integration in cancer screening is in early stages, with 50% in prospective clinical evaluation, 36% in silent trials, and 14% in exploratory model development, showing promise in enhancing accuracy and efficiency.

Conclusions:

  • ASEAN nations need more organized cancer screening programs with defined age groups and intervals to align with WHO's 2030 targets.
  • AI integration in countries like Singapore, Malaysia, Vietnam, Thailand, and Indonesia demonstrates potential for optimizing screening, reducing costs, and improving early detection.
  • The adoption of AI technology in cancer screening significantly enhances detection accuracy, leading to better cancer management outcomes across the ASEAN region.