Iqra Shahid
Papers
1
Total Citations
2
H-Index
1
About
Iqra Shahid is a rising voice at the intersection of artificial intelligence and neurosurgery, whose work critically examines how AI and machine learning are reshaping spinal and cranial surgery. Her most-cited paper, "Effectiveness and reliability of AI in diagnosis and robot-assisted spinal and cranial surgery: efficient outcomes and ethical worries" (2025, 2 citations), provides a timely synthesis of the field’s promise and perils. In it, Shahid evaluates how robotic-assisted surgery enhances precision and reduces intraoperative risks, while also raising essential ethical concerns—such as algorithmic bias, data privacy, and the erosion of surgeon autonomy—that must be addressed before widespread adoption. By balancing technical efficacy with ethical scrutiny, Shahid’s research offers a roadmap for responsible integration of AI into high-stakes surgical settings. Though early in her career, her work signals a commitment to ensuring that technological progress in medicine does not outpace the safeguards needed for patient safety and equity. For students and researchers exploring AI in healthcare, Shahid’s scholarship is a compelling starting point for understanding both the capabilities and the responsibilities that come with innovation.
Research Focus
Key Achievements
Top Papers
- 1