Penn Computer Assisted Surgery and Outcomes Lab

About Us

The Penn Computer Assisted Surgery and Outcomes (PCASO) Laboratory is a multidisciplinary research group housed within Penn Surgery that aims to translate advances in data science and artificial intelligence to surgical care and to promote the integrated education of clinicians, engineers, and data scientists. With data sources spanning the range of pre-, intra-, and post-operative phases of care, we work with a wide range of data to investigate the association of intraoperative events with preoperative risk models and post-operative outcomes to improve the surgical decision-making process by augmenting surgeon perceptions with AI-enabled data insights. In addition, we are especially interested in developing and validating automated methods of providing surgeons with feedback on surgical technique both in simulated and clinical settings.

Mission

To lead the translation of surgical data science and artificial intelligence to surgical care to improve patient outcomes, facilitate surgical education, and promote interdisciplinary collaboration between computer scientists and surgeons.

News

   ·   July 2024

• New preprint on weakly supervised object detection and segmentation in transient object presence problems by PCASO postdoc Guiqiu Liao, PhD

  • Disentangling spatio-temporal knowledge for weakly supervised object detection and segmentation in surgical video  

   ·   June 2024

• Shubha Vasisht's abstract on outcomes of per oral endoscopic myotomy and Heller myotomy for achalasia accepted for a full oral presentation at the 2024 American College of Surgeons Clinical Congress in October in San Francisco

  • PCASO student co-authors include Vivek Singh, Aarush Sahni

• Vivek Singh and Daniel Hashimoto contribute section on Healthcare for PNAS Nexus paper on impact of generative AI on socioeconomic inequality

  •  The impact of generative artificial intelligence on socioeconomic inequalities and policy making

·   April 2024

• PCASO led contribution in JAMA Surgery in their methodology guides to research published

  • Practical Guide to Machine Learning and Artificial Intelligence in Surgical Education Research

• Academic Medicine, the journal of the Association of American Medical Colleges, publishes a review that includes Shubha Vasisht and Daniel Hashimoto, on AI for medical education

  • Demystifying AI: Current State and Future Role in Medical Education Assessment

·   February 2024

• The Metrics Reloaded, a multi-institutional consortium in which PCASO participated and contributed expertise on surgical video data, publishes twin papers on metrics related pitfalls in biomedical imaging in Nature Methods

  • Metrics reloaded: recommendations for image analysis validation

  • Understanding metric-related pitfalls in image analysis validation

• Daniel Hashimoto awarded the Linda Pechenik Montague Investigator Award by the Perelman School of Medicine (PSOM). The award was endowed by Linda Pechenik Montague to support the most promising research faculty at PSOM.

• Daniel Hashimoto was visiting professor at University College Dublin's Mater Misericordiae University Hospital and speaker at the Royal College of Surgeons Ireland Charter Week

• Vivek Singh had a video abstract accepted to DDW 2024

  ·   January 2024

• So Hee Ahn joins PCASO as a medical student researcher. With degrees in electrical engineering and computer science from MIT prior to medical school, So Hee is joining our work on computer vision for analysis of robotic whipple procedures

• Shubha Vasisht had a video abstract accepted to SAGES 2024

• Daniel Hashimoto gave the Konvolinka Lecture in Surgical Innovation at Geisinger Medical Center

View News Archive from prior years