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

BMC Cancer, Journal Year: 2025, Volume and Issue: 25(1)

Published: April 15, 2025

Cancer remains a significant health challenge in the ASEAN region, highlighting need for effective screening programs. However, approaches, target demographics, and intervals vary across member states, necessitating comprehensive understanding of these variations to assess program effectiveness. Additionally, while artificial intelligence (AI) holds promise as tool cancer screening, its utilization region is unexplored. This study aims identify evaluate different programs ASEAN, with focus on assessing integration impact AI A scoping review was conducted using PRISMA-ScR guidelines provide overview usage ASEAN. Data were collected from government ministries, official guidelines, literature databases, relevant documents. The use reviews involved searches through PubMed, Scopus, Google Scholar inclusion criteria only included studies that utilized data January 2019 May 2024. findings reveal diverse approaches Countries like Myanmar, Laos, Cambodia, Vietnam, Brunei, Philippines, Indonesia Timor-Leste primarily adopt opportunistic Singapore, Malaysia, Thailand organized Cervical widespread, both methods. Fourteen review, covering breast (5 studies), cervical (2 colon (4 hepatic (1 study), lung oral study) cancers. Studies revealed stages screening: prospective clinical evaluation (50%), silent trial (36%) exploratory model development (14%), promising results enhancing accuracy efficiency. require more targeting appropriate age groups at regular meet WHO's 2030 targets. Efforts integrate Thailand, show optimizing processes, reducing costs, improving early detection. technology enhances identification during detection management region.

Language: Английский

Aberrant protein glycosylation in the colon adenoma-cancer sequence: Colorectal cancer mechanisms and clinical implications

Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Journal Year: 2025, Volume and Issue: unknown, P. 167853 - 167853

Published: April 1, 2025

Language: Английский

Biomarker discovery based on advanced statistical methods. Analysis of N-glycome in plasma of colorectal cancer patients using MALDI-TOF MS analysis

Microchemical Journal, Journal Year: 2025, Volume and Issue: unknown, P. 113916 - 113916

Published: May 1, 2025

Language: Английский