Jibran Khan
Papers
1
Total Citations
9
H-Index
1
About
Dr. Jibran Khan is at the forefront of integrating artificial intelligence into thoracic surgery, a field where precision can mean the difference between life and death. His pioneering review, "Enhancing Thoracic Surgery with AI: A Review of Current Practices and Emerging Trends" (2024, 9 citations), has quickly become a foundational reference for researchers exploring AI-driven diagnostics in this specialty. Khan’s work demonstrates how machine learning models achieve remarkable accuracy in diagnosing non-small-cell lung cancer (NSCLC), predicting lymph node metastasis, and optimizing extubation protocols—directly translating computational power into improved surgical outcomes. By systematically mapping AI’s role from preoperative planning to postoperative care, he has provided a roadmap for reducing human error and personalizing treatment. Though early in his career, Khan’s contributions are already shaping how thoracic surgeons and data scientists collaborate, proving that AI is not just a futuristic tool but a present-day necessity. His research stands as a compelling call to action for the next generation of clinician-informaticists, urging them to bridge the gap between algorithmic potential and bedside reality.
Research Focus
Key Achievements
Top Papers
- 1