Geng-Xin Xu

Papers

1

Total Citations

21

H-Index

1

About

Dr. Geng-Xin Xu is a pioneering researcher at the intersection of artificial intelligence and medicine, with a primary focus on developing robust, data-driven frameworks for clinical decision-making. His work centers on the integration of multi-modal data—including clinical records, pathology, medical imaging, physiological signals, and omics—to build AI systems that are both accurate and clinically reliable. Dr. Xu’s most cited work, “Artificial intelligence for medicine 2025: Navigating the endless frontier” (2025, 21 citations), outlines the critical importance of data quality and rigorous standards in translating AI from research to real-world practice. This forward-looking perspective has helped shape the discourse on responsible AI deployment in healthcare, emphasizing that successful medical AI depends as much on data integrity as on algorithmic innovation. Dr. Xu’s contributions are particularly notable for their emphasis on the “endless frontier” of AI in medicine, advocating for continuous validation and ethical oversight. His research continues to guide students and practitioners in building trustworthy, impactful AI systems for the future of patient care.

Research Focus

Key Achievements

1
H-Index
1
Papers
21
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Artificial intelligence for medicine 2025: Navigating the endless frontier
21 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 17

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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