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2026, Vol: 10, Issue: 9
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Review Article
Online Published: 21 Oct 2026
 


Effectiveness of AI-assisted clinical decision support tools for chronic disease management: a systematic review

Raghad Sami Abdullah, Mada Ibrahim Abdulhaq, Waad Mohmmd Jli, Reemeyah Abdulaziz Aljohani, Fatma Azzam Oun, Gwally Adel Al Hazmi, Layal Amin Aljefri, Abeer Osama Ismail, Saja Almadani.


Abstract
Clinical decision support systems (CDSSs) help physicians in several aspects, including diagnosis and management of diseases. The integration of artificial intelligence (AI) has pushed CDSS into a new era of effectiveness by revolutionizing CDSS capabilities, which enable the processing and interpretation of large amounts of healthcare data with unprecedented speed and precision. Chronic diseases require continuous and accurate management. Therefore, managing chronic diseases might benefit from the integration of AI in CDSS. This study aimed to assess the effectiveness of AI-assisted clinical decision support in the management of chronic diseases by reviewing the previous studies conducted on this subject. Relevant articles were searched through electronic databases using relevant keywords. The inclusion criteria were articles published from 2021 to the present, reporting AI implementation in decision support for chronic conditions, providing original findings, written in English, and available in full text. A total of seven articles were included, of which three were trial designs. Each of the included studies concerned a different chronic condition. One study enrolled 117 patients with hypertension medications, and the remaining studies included 7545 patients. Various models were used in the studies, with Random Forest being the most used tool, as reported in three studies. AI-assisted CDSS was effective in the management of chronic disease by performing several tasks. The tasks were performed by different models and across different chronic diseases, which indicated the effectiveness of AI-assisted CDSS in the management of chronic diseases regardless of the disease and the model used.

Key words: AI, chronic diseases, management, effectiveness, systematic review


 
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How to Cite this Article
Pubmed Style

Abdullah RS, Abdulhaq MI, Jli WM, Aljohani RA, Oun FA, Hazmi GAA, Aljefri LA, Ismail AO, Almadani S. Effectiveness of AI-assisted clinical decision support tools for chronic disease management: a systematic review. IJMDC. Online First: 21 Oct, 2026. doi:10.24911/IJMDC.51-1789203732

Web Style

Abdullah RS, Abdulhaq MI, Jli WM, Aljohani RA, Oun FA, Hazmi GAA, Aljefri LA, Ismail AO, Almadani S. Effectiveness of AI-assisted clinical decision support tools for chronic disease management: a systematic review. https://www.ijmdc.com/?mno=334329 [Access: October 21, 2026]. doi:10.24911/IJMDC.51-1789203732

AMA (American Medical Association) Style

Abdullah RS, Abdulhaq MI, Jli WM, Aljohani RA, Oun FA, Hazmi GAA, Aljefri LA, Ismail AO, Almadani S. Effectiveness of AI-assisted clinical decision support tools for chronic disease management: a systematic review. IJMDC. Online First: 21 Oct, 2026. doi:10.24911/IJMDC.51-1789203732


Vancouver/ICMJE Style

Abdullah RS, Abdulhaq MI, Jli WM, Aljohani RA, Oun FA, Hazmi GAA, Aljefri LA, Ismail AO, Almadani S. Effectiveness of AI-assisted clinical decision support tools for chronic disease management: a systematic review. IJMDC, [cited October 21, 2026]; Online First: 21 Oct, 2026. doi:10.24911/IJMDC.51-1789203732


Harvard Style

Abdullah, R. S., Abdulhaq, . M. I., Jli, . W. M., Aljohani, . R. A., Oun, . F. A., Hazmi, . G. A. A., Aljefri, . L. A., Ismail, . A. O. & Almadani, . S. (2026) Effectiveness of AI-assisted clinical decision support tools for chronic disease management: a systematic review. IJMDC, Online First: 21 Oct, 2026. doi:10.24911/IJMDC.51-1789203732


Turabian Style

Abdullah, Raghad Sami, Mada Ibrahim Abdulhaq, Waad Mohmmd Jli, Reemeyah Abdulaziz Aljohani, Fatma Azzam Oun, Gwally Adel Al Hazmi, Layal Amin Aljefri, Abeer Osama Ismail, and Saja Almadani. 2026. Effectiveness of AI-assisted clinical decision support tools for chronic disease management: a systematic review. International Journal of Medicine in Developing Countries, Online First: 21 Oct, 2026. doi:10.24911/IJMDC.51-1789203732


Chicago Style

Abdullah, Raghad Sami, Mada Ibrahim Abdulhaq, Waad Mohmmd Jli, Reemeyah Abdulaziz Aljohani, Fatma Azzam Oun, Gwally Adel Al Hazmi, Layal Amin Aljefri, Abeer Osama Ismail, and Saja Almadani. "Effectiveness of AI-assisted clinical decision support tools for chronic disease management: a systematic review." International Journal of Medicine in Developing Countries Online First: 21 Oct, 2026. doi:10.24911/IJMDC.51-1789203732


MLA (The Modern Language Association) Style

Abdullah, Raghad Sami, Mada Ibrahim Abdulhaq, Waad Mohmmd Jli, Reemeyah Abdulaziz Aljohani, Fatma Azzam Oun, Gwally Adel Al Hazmi, Layal Amin Aljefri, Abeer Osama Ismail, and Saja Almadani. "Effectiveness of AI-assisted clinical decision support tools for chronic disease management: a systematic review." International Journal of Medicine in Developing Countries Online First: 21 Oct, 2026. Web. 21 Oct 2026 doi:10.24911/IJMDC.51-1789203732


APA (American Psychological Association) Style

Abdullah, R. S., Abdulhaq, . M. I., Jli, . W. M., Aljohani, . R. A., Oun, . F. A., Hazmi, . G. A. A., Aljefri, . L. A., Ismail, . A. O. & Almadani, . S. (2026) Effectiveness of AI-assisted clinical decision support tools for chronic disease management: a systematic review. International Journal of Medicine in Developing Countries, Online First: 21 Oct, 2026. doi:10.24911/IJMDC.51-1789203732




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