A multimodal explainable artificial intelligence framework for interpretable Parkinson's disease prediction. [PDF]
Sci RepMehta V +6 more
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Health Science Reports, Volume 9, Issue 6, June 2026.ABSTRACT Background and Aims Metabolic syndrome (MetS) is associated with increased risks of cardiovascular disease and type 2 diabetes, with recent global prevalence estimates of approximately 28%–31% in adults. Artificial intelligence (AI) and machine learning offer potential to improve risk stratification beyond conventional statistical methods ...
Aynaz Esmailzadeh +4 more
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CMT-BUSNet: Adaptive Fusion-Based Triple-Branch Hybrid Architecture for Explainable Breast Ultrasound Tumor Segmentation. [PDF]
Diagnostics (Basel)Kutlu H, Çolak C.
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A comprehensive review of explainable artificial intelligence in healthcare methods, evaluation, and clinical integration. [PDF]
iScienceZhang K, Wang D, Lin F, Xie J, Zhou W.
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From data to decisions: a modular platform for modelling and simulation of infectious disease diffusion in networks. [PDF]
BMC Med Inform Decis MakBranda F +7 more
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MultiTask learning AI system to assist BCC diagnosis with dual explanation. [PDF]
Sci RepMatas I +5 more
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Explainable Artificial Intelligence Unravels the Possible Distinct Roles of VKORC1 and CYP2C9 in Predicting Warfarin Anticoagulation Control. [PDF]
Med Sci (Basel)Sridharan K, Sivaramakrishnan G.
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Explainable multi agent reinforcement learning framework for secure and adaptive communication in UAV swarm based fanets. [PDF]
Sci RepAlkahtani HK +3 more
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