Author

Wisit Cheungpasitporn

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Oct 2026

Technology-Supported Solutions to Improve Guideline-Informed Care for Kidney Disease: Conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference.

Implementation of guideline-informed care for the prevention, detection, and management of kidney disease remains suboptimal throughout the world. In November 2025, Kidney Disease: Improving Global Outcomes (KDIGO) held a Controversies Conference on the role of technology-supported solutions to improve guideline-inform...

J. Manski-Nankervis, Wisit Cheungpasitporn, A. Garg et al. · Kidney International · 1 citation

Review Open access Sep 2026

Current and Future Applications of AI-Driven Predictive Modeling and a Proposed Framework for AI-Bioprognostics in Kidney Care

Abstract Artificial intelligence (AI) is reshaping kidney care by integrating electronic health records (EHRs), imaging, digital pathology, genomics, wearable biosensors, and longitudinal physiologic data into dynamic risk-prediction systems. Traditional nephrology risk stratification has relied on static variables and...

C. Thongprayoon, Noppawit Aiumtrakul, F. Pesce et al. · Risk Management and Healthca... · 0 citations

Open access Sep 2026

Diagnostic Accuracy and Alignment With Human Reader Responses Across Five Large Language Models on Complex Clinical Case Challenges

Because a model can outperform clinicians in aggregate yet fail where oversight is least likely to detect it, evaluation of clinical AI should weigh error structure alongside accuracy.

R. Bellocco, L. Soraci, Lorenzo Lo Cicero et al. · Epidemiology Biostatistics a... · 0 citations

Review Open access Jul 2026

Influence of artificial intelligence on xenotransplantation and regenerative medicine on the path toward ending the organ shortage.

Together, these trends suggest that AI-enabled regenerative and xenogeneic strategies may meaningfully reduce the organ shortage and support future progress toward precision-engineered organ replacement.

K. Solez, Habba F. Mahal, Wisit Cheungpasitporn et al. · Renal Failure · 0 citations