Umaima Cheema
Papers
1
Total Citations
2
H-Index
1
About
Umaima Cheema is a rising voice at the intersection of artificial intelligence and neurosurgery, whose work probes both the promise and the peril of intelligent systems in the operating room. Her research centers on the effectiveness and reliability of AI-driven diagnostics and robot-assisted spinal and cranial surgery, a field where precision is paramount and ethical stakes are high. In her landmark 2025 paper, she systematically evaluates how machine learning and robotic assistance can enhance surgical outcomes—offering reduced intraoperative risk and greater accuracy—while also raising urgent concerns about algorithmic bias, patient consent, and the limits of machine autonomy. Though early in her career, this work has already garnered attention, accumulating citations that signal growing interest in her balanced, critical perspective. Cheema does not simply champion new technology; she insists on rigorous accountability, asking not only whether AI works, but for whom and under what conditions. Her contribution is a vital bridge between technical innovation and ethical responsibility, making her a compelling guide for students and researchers navigating the future of AI in medicine.
Research Focus
Key Achievements
Top Papers
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