A5037495343- Surgical Simulation and Training
- Intraocular Surgery and Lenses
- Retinal Imaging and Analysis
- Cerebral Venous Sinus Thrombosis
- Retinal and Optic Conditions
- Medical Imaging and Analysis
- Ocular Diseases and Behçet’s Syndrome
- Colorectal Cancer Screening and Detection
- Cardiac, Anesthesia and Surgical Outcomes
- Colorectal Cancer Surgical Treatments
- 3D Shape Modeling and Analysis
- Digital Imaging in Medicine
- Pelvic and Acetabular Injuries
- Enhanced Recovery After Surgery
University of Illinois Chicago
2021-2022
Visual Sciences (United States)
2021
Complications that arise from phacoemulsification procedures can lead to worse visual outcomes. Real-time image processing with artificial intelligence tools extract data deliver surgical guidance, potentially enhancing the environment.To evaluate ability of a deep neural network track pupil, identify phase, and activate specific computer vision aid surgeon during cataract surgery by providing feedback in real time.This cross-sectional study evaluated deidentified videos operations performed...
Owing to recent advances in machine learning and the ability harvest large amounts of data during robotic-assisted surgeries, surgical science is ripe for foundational work. We present a dataset videos their accompanying labels this purpose. describe how was collected some its unique attributes. Multiple example problems are outlined. Although curated particular set scientific challenges (in an paper), it general enough be used broad range questions. Our hope that exposes larger community...
To develop and validate a platform that can extract eye gaze metrics from surgeons observing cataract vitreoretinal procedures to enable post hoc data analysis assess potential discrepancies in movement behavior according surgeon experience.
The ability to automatically detect and track surgical instruments in endoscopic videos can enable transformational interventions. Assessing performance efficiency, identifying skilled tool use choreography, planning operational logistical aspects of OR resources are just a few the applications that could benefit. Unfortunately, obtaining annotations needed train machine learning models identify localize tools is difficult task. Annotating bounding boxes frame-by-frame tedious...
You have accessJournal of UrologySurgical Technology & Simulation: Artificial Intelligence III (PD36)1 May 2024PD36-10 ARTIFICIAL INTELLIGENCE BASED REAL-TIME SEGMENTATION AND FEATURE TRACKING IN UROLOGIC ROBOTIC ASSISTED SURGERY: PRELIMINARY RESULTS FUTURE PROSPECTS Rebecca Canneto, Luca A. Morgantini, Rogerio Garcia Nespolo, Yanneck I. Leiderman, and Simone Crivellaro CannetoRebecca Canneto , MorgantiniLuca Morgantini NespoloRogerio Nespolo LeidermanYanneck Leiderman CrivellaroSimone View...
You have accessJournal of UrologyAdrenal/Renal Oncology II (V14)1 May 2024V14-05 ARTIFICIAL INTELLIGENCE-BASED INTRAOPERATIVE GUIDANCE: DEMONSTRATION OF REAL-TIME SEGMENTATION AND FEATURE TRACKING IN ROBOTIC SURGERY Luca A. Morgantini, Rebecca Canneto, Rogerio Garcia Nespolo, Yannek I. Leiderman, and Simone Crivellaro MorgantiniLuca Morgantini , CannetoRebecca Canneto NespoloRogerio Nespolo LeidermanYannek Leiderman CrivellaroSimone View All Author...