Hal D. Kominsky

The University of Texas Southwestern Medical Center

Papers

5

Total Citations

12

H-Index

2

About

Dr. Hal D. Kominsky is a pioneering urologic surgeon and researcher at the intersection of robotic surgery and artificial intelligence. His primary research focuses on advancing minimally invasive urologic procedures, particularly robotic-assisted partial nephrectomy (RAPN), radical prostatectomy, and the management of ureteropelvic junction obstruction (UPJO). Dr. Kominsky’s most impactful contribution is his innovative use of machine learning to objectively evaluate surgical skill from operative videos. His landmark 2023 paper, which employs fully convolutional segmentation and multi-task attention networks to assess RAPN surgeons, has garnered 4 citations and represents a significant leap from synthetic tissue models to real-world surgical analysis. He has also made notable strides in improving patient outcomes, including his work on Retzius-sparing techniques for post-prostatectomy continence and robot-assisted laparoscopic renal vein stent placements for Nutcracker syndrome, where he reported on 18 successful cases. With a growing body of work spanning surgical education, endoscopic management, and patient-reported outcomes, Dr. Kominsky is shaping the future of precision urology. His research, though early in citation accumulation, promises to redefine how surgical proficiency is measured and how complex urologic conditions are treated.

Research Focus

Key Achievements

2
H-Index
5
Papers
12
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Evaluating robotic-assisted partial nephrectomy surgeons with fully convolutional segmentation and multi-task attention networks
4 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: The University of Texas Southwestern Medical Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago