Nada Bashar
Papers
1
Total Citations
3
H-Index
1
About
Nada Bashar is a rising researcher at the intersection of artificial intelligence and colorectal surgery, with a focused interest in leveraging machine learning to improve preoperative planning for rectal cancer. Her most cited work, a 2025 systematic review, critically examines how AI models applied to pre-operative MRI can predict surgical difficulty in rectal cancer surgery—a challenge that directly impacts decisions between conventional laparoscopy and robotic resection. By synthesizing evidence on these predictive models, Bashar addresses a pressing clinical need: optimizing surgical modality selection to improve patient outcomes and resource allocation. Though early in her career, her review has already garnered attention, reflecting the timeliness and practical relevance of her research. Bashar’s contributions help bridge the gap between advanced imaging, artificial intelligence, and surgical decision-making, offering a data-driven path toward personalized surgical care. Her work signals a promising trajectory in the emerging field of AI-assisted surgical oncology, where predictive analytics can transform how surgeons approach complex pelvic procedures.
Research Focus
Key Achievements
Top Papers
- 1