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An AI-based automated and interactive surgical guidance platform harnessing the power of complex machine learning to redefine the surgical standard of care

Description:

The invention is a real-time, automated and interactive surgical assistant device which uses multisensory hierarchical deep neural networks to provide real-time feedback to surgeons on intricate anatomical structures, instrument tracking, tissue manipulation, and other surgical parameters for intelligent augmentation of surgeons in the operating theater. The technology can be used for routine as well as challenging surgeries, robotic surgeries, training and medical education. The technology can then be clinically tailored for each case type to create a novel intelligent guidance platform constituting a new surgical standard of care.

 

Inventors

Vivek Buch, MD

Peter Madsen, MD

Kerry Vaughan, MD

 

Problem

Around 200 million surgeries are performed every day around the world, each surgery requiring constant decision-making by the surgeon which he or she bases on his or her personal skills, judgement, and experience. The formulation and execution of these decisions have significant influence on the surgical outcomes and even the patients’ lives. There is currently no quantifiable way to analyze the various components of skill, judgement, and experience which result in differential outcomes impacting patients’ lives.

 

Solution

The invention by researchers at University of Pennsylvania is an automated and interactive Artificial Operative Assistant (AOA) which utilizes complex artificial intelligence-based technology to accrue knowledge from intraoperative surgical data and provides real-time, clinically tailored feedback of that knowledge to a surgeon on an interactive audiovisual user interface, to aid in his or her decision-making, task execution, and delivery of surgical care. Examples of this accrued knowledge are anatomical and instrument objects, contours, deformation thresholds, movement efficiency, state transitions, hidden structures, probability stratified complication checkpoints, and other proprietary surgeon- and case-specific algorithms. The technology can be used for routine as well as challenging surgeries, robotic surgeries, training and medical education. The technology can then be clinically tailored for each case type to create a novel intelligent guidance platform constituting a new surgical standard of care.

 

Applications

• Intelligent guidance in any operation, including complicated or technically challenging cases

• Robot-assisted surgeries

• Training and medical education

• Can be clinically tailored for each case type to create a new surgical standard of care

 

Advantages

• Enhances surgical precision by identifying intricate anatomical structures and calculating confidence intervals

• Assists in real-time decision-making in surgeries

• Provides data-driven task execution optimization that can improve efficiency

• Displays complication avoidance warnings based on various proprietary algorithms to enhance surgical safety

• Network propagation of knowledge with increasing utility allowing for continuous improvement in outputs

• Creates novel case-specific metrics that can be used to redefine the surgical standard of care

 

Stage of Development

• Technology is in conception-stage

 

Intellectual Property

• US Provisional Patent Application

 

Reference Media

N/A

       

Desired Partnerships

• Investment and co-development

 

 

Docket #: 18-8445


Patent Information:
For Information, Contact:
Neal Lemon
Associate Director, PSOM Licensing Group
University of Pennsylvania
nlemon@upenn.edu
Inventors:
Vivek Buch
Peter Madsen
Kerry Vaughan
Keywords: