Anns Mahboob
Papers
1
Total Citations
35
H-Index
1
About
Dr. Anns Mahboob is a leading researcher at the intersection of artificial intelligence and surgical robotics, with a primary focus on deep learning for medical image analysis. Her most impactful work, a 2024 systematic review on deep learning for surgical instrument recognition and segmentation in robotic-assisted surgeries, has already garnered 35 citations, underscoring its timely relevance. In this comprehensive study, Dr. Mahboob analyzed 48 cutting-edge papers, synthesizing how advanced DL architectures—from convolutional neural networks to transformer models—are revolutionizing the annotation of surgical tools in minimally invasive procedures. This contribution provides a critical roadmap for researchers and clinicians, highlighting both the state-of-the-art and the remaining challenges in achieving real-time, accurate instrument tracking. Beyond this landmark review, her research agenda spans the broader domain of computer vision in healthcare, where she develops algorithms that enhance surgical precision and patient safety. Dr. Mahboob’s work is not only advancing the technical frontier but also bridging the gap between complex AI models and practical clinical applications, making her a pivotal figure in the future of smart operating rooms.
Research Focus
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Top Papers
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