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Leveraging ChatGPT and explainable AI for enhancing clinical decision support.

• Authors : Shawi RE; Institute of Computer Science, University of Tartu, 51009, Tartu, Estonia. .; Jamel L

Subjects: Machine Learning* ; Decision Support Systems, Clinical* ; Artificial Intelligence*

• Source: Scientific reports [Sci Rep] 2025 Nov 05; Vol. 15 (1), pp. 38786. Date of Electronic Publication: 2025 Nov 05.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Clinical decision system for chronic kidney disease staging using machine learning.

• Authors : Chandralekha E; Department of Computational Intelligence, SRM Institute of Science and Technology, Chennai, India.; Saravanan TR

Subjects: Machine Learning* ; Renal Insufficiency, Chronic*/Renal Insufficiency, Chronic*/Renal Insufficiency, Chronic*/classification ; Renal Insufficiency, Chronic*/Renal Insufficiency, Chronic*/Renal Insufficiency, Chronic*/diagnosis

• Source: Technology and health care : official journal of the European Society for Engineering and Medicine [Technol Health Care] 2025 Jul; Vol. 33 (4), pp. 1959-1987. Date of Electronic Publisher: SAGE Publications Country of Publication: United States NLM ID: 9314590 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Task-Technology Fit of Artificial Intelligence-based clinical decision support systems: a review of qualitative studies.

• Authors : Parsons, Cathleen S.¹ (AUTHOR) ; Zuiderwijk, Anneke¹ (AUTHOR); Orchard, Nic A.¹ (AUTHOR)

• Source: BMC Medical Informatics & Decision Making. 10/28/2025, Vol. 25 Issue 1, p1-16. 16p.

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Patient Diversity and Collaborative Co-Reasoning for Ethical Use of Machine Learning-Driven Decision Support Systems.

• Authors : McDougall R; University of Melbourne.

Subjects: Machine Learning*/Machine Learning*/Machine Learning*/ethics; Humans ; Decision Support Systems, Clinical/Decision Support Systems, Clinical/Decision Support Systems, Clinical/ethics

• Source: The American journal of bioethics : AJOB [Am J Bioeth] 2024 Sep; Vol. 24 (9), pp. 89-91. Date of Electronic Publication: 2024 Sep 03.Publisher: Taylor & Francis Country of Publication: United States NLM ID: 100898738 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Using Artificial Intelligence to Develop Clinical Decision Support Systems—The Evolving Road of Personalized Oncologic Therapy.

• Authors : Chitoran, Elena^1,2 (AUTHOR); Rotaru, Vlad^1,2 (AUTHOR); Gelal, Aisa^1,2,3 (AUTHOR)

• Source: Diagnostics (2075-4418). Sep2025, Vol. 15 Issue 18, p2391. 28p.

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Leveraging Artificial Intelligence for Enhanced Clinical Decision Support Systems (CDSS).

• Authors : Narhare, Pandurang M.¹; P., Muthu Prasanna² ; B., Sharmila.³

Subjects: *Clinical decision support systems; *Machine learning; *Digital transformation

• Source: Jordan Medical Journal. May2025, Vol. 59 Issue 2, p243-261. 19p.

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Developing Decision Support Systems for Healthcare Administration using AI.

• Authors : Pathan, Riyaz Rashid¹ ; Osei-Asiamah, Joel² ; Jadhav, Priyanka Nilesh³

• Source: Journal of Neonatal Surgery. 2025 Supplement, Vol. 14, p278-290. 13p.

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Incentives and barriers to adoption of decision support systems in integrated pest management among farmers and farm advisors in Europe.

• Authors : Marinko, Jurij^1,2 (AUTHOR) ; Ivanovska, Aneta^2,3 (AUTHOR); Marzidovšek, Martin² (AUTHOR)

• Source: International Journal of Pest Management. Jul-Sep2025, Vol. 71 Issue 3, p449-468. 20p.

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Research on intelligent decision support systems for oil and gas exploration based on machine learning.

• Authors : Wang Z; School of Civil Engineering and Transportation, Weifang University, Weifang, Shandong, China.; Cheng Z

Subjects: Machine Learning* ; Algorithms*; Neural Networks, Computer

• Source: PloS one [PLoS One] 2024 Dec 05; Vol. 19 (12), pp. e0314108. Date of Electronic Publication: 2024 Dec 05 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Edge computing-based ensemble learning model for health care decision systems.

• Authors : Vincent ACSR; Department of Computer Science and Engineering, PSN College of Engineering and Technology, Tirunelveli, Tamil Nadu, 627451, India. .; Sengan S

Subjects: Machine Learning* ; Decision Support Systems, Clinical* ; Algorithms*

• Source: Scientific reports [Sci Rep] 2024 Nov 06; Vol. 14 (1), pp. 26997. Date of Electronic Publication: 2024 Nov 06.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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