AI-Driven Surgical Reporting Reduces Documentation Time by 70%, Desai Sethi Urology Institute Reports at AUA 2026

 By: Lisette Hilton | May 22, 2026 | 5 min. read |  Share 

At the American Urological Association’s 2026 meeting, Archan Khandekar, M.D., shared early clinical results showing how AI-powered operative reporting significantly streamlines surgical documentation and captures critical procedural details.

Archan Khandekar, M.D., assistant professor of urologic oncology at Desai Sethi Urology Institute (DSUI), part of the University of Miami Miller School of Medicine, shared DSUI’s analysis of 20 surgical cases using a computer vision–based operative report generation system at the American Urological Association (AUA) 2026 meeting.

Dr. Khandekar presented “AI-Driven Automation for Enhanced Productivity in Surgical Clinical Research,” which centers on DSUI’s implementation of an AI-powered surgery-to-text platform. It is the first computer vision–based operative report generation system with native Epic electronic health record integration, according to Dr. Khandekar.

“The system uses video transformer networks and attention-based architectures to perform real-time surgical step segmentation, instrument tracking and anatomical landmark detection from robotic surgical video,” Dr. Khandekar said. “These outputs feed a large language model pipeline that generates structured operative narratives directly within Epic.”

Dr. Khandekar at AUA2026

AI Automation Cuts Operative Documentation Time by 70%

Phase one of the planned multispecialty rollout of the technology across UHealth — University of Miami Health System showed:

• AI-generated operative templates were successfully produced for all 20 cases.

• The mean time to final operative note decreased by 70%, compared with manual documentation.

• Templates required a median of six surgeon edits, primarily addressing vascular mislabeling (e.g., artery-vein distinction).

• The system consistently captured secondary procedures, instrument use and anatomic variations that are often missed in standard dictation.

• Surgeons reported rapid adoption with no workflow disruption.

From Innovation to Clinical Implementation

The research builds on Dr. Khandekar’s earlier validation of computer vision for automated warm ischemia time measurement during robotic partial nephrectomy, published in BJUI Compass. The work also is evidence of DSUI’s ongoing development of data pipelines that connect surgical video intelligence with structured electronic health record data to support quality improvement and outcomes research.

“Compared with prior years, our work has moved from evaluating new technologies to testing them in real clinical settings, and DSUI is leading the way,” Dr. Khandekar said. “The emphasis now is on validation and understanding what works reliably and where these tools can make a meaningful difference in urologic care.”

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Tags: AI, artificial intelligence, AUA2026, cancer research, Desai Sethi Urology Institute, Dr. Archan Khandekar, technology, urology