Syed Azeem Inam
Papers
1
Total Citations
37
H-Index
1
About
Syed Azeem Inam is a rising researcher at the intersection of healthcare technology and artificial intelligence, with a primary focus on the Internet of Medical Things (IoMT), blockchain security, and AI-driven neurosurgical innovation. His most-cited work, "Analysis of integration of IoMT with blockchain: issues, challenges and solutions" (2024, 37 citations), critically examines the vulnerabilities in connected medical devices and proposes blockchain-based frameworks to secure patient data and device integrity. Inam’s research extends into the transformative role of AI in neurosurgery and neurology, where he has systematically mapped seven key dimensions—from diagnostic imaging to robotic-assisted surgery—that are reshaping clinical practice. His contributions highlight how AI enhances precision, reduces human error, and personalizes treatment in complex neurological conditions. Though early in his career, Inam’s work has already garnered attention for bridging cutting-edge computational methods with pressing real-world medical challenges. By addressing both the technical and ethical dimensions of digital health, he is helping to lay the groundwork for safer, smarter, and more equitable healthcare systems. His research is particularly valuable for students and practitioners seeking to understand how emerging technologies can be responsibly integrated into critical care environments.
Research Focus
Key Achievements
Top Papers
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