4 citations · 6 across the 6 of their papers we have counts for
7 papers
Agent-Guided Relational Concept Discovery: Toward Interpretable Surgical Margin Assessment
Nooshin Maghsoodi, Amoon Jamzad, Robert Policelli +11
Deep learning models can effectively use Rapid Evaporative Ionization Mass Spectrometry (REIMS) data for surgical margin assessment. However, their clinical adoption remains challe…
Vision-Language Models Encode Clinical Guidelines for Concept-Based Medical Reasoning
Mohamed Harmanani, Bining Long, Zhuoxin Guo +6
Concept Bottleneck Models (CBMs) are a prominent framework for interpretable AI that map learned visual features to a set of meaningful concepts for task-specific downstream predic…
A Dataset and Benchmarks for Atrial Fibrillation Detection from Electrocardiograms of Intensive Care Unit Patients
Sarah Nassar, Nooshin Maghsoodi, Sophia Mannina +7
Objective: Atrial fibrillation (AF) is the most common cardiac arrhythmia experienced by intensive care unit (ICU) patients and can cause adverse health effects. In this study, we…
Current validation practice undermines surgical AI development
Annika Reinke, Ziying O. Li, Minu D. Tizabi +98
Surgical data science (SDS) is rapidly advancing, yet clinical adoption of artificial intelligence (AI) in surgery remains limited, with inadequate validation as an important contr…
Touching the tumor boundary: A pilot study on ultrasound based virtual fixtures for breast-conserving surgery
Laura Connolly, Tamas Ungi, Adnan Munawar +5
Purpose: Delineating tumor boundaries during breast-conserving surgery is challenging as tumors are often highly mobile, non-palpable, and have irregularly shaped borders. To addre…
SlicerROS2: A Research and Development Module for Image-Guided Robotic Interventions
Laura Connolly, Aravind S. Kumar, Kapi Ketan Mehta +9
Image-guided robotic interventions involve the use of medical imaging in tandem with robotics. SlicerROS2 is a software module that combines 3D Slicer and robot operating system (R…
FACT: Foundation Model for Assessing Cancer Tissue Margins with Mass Spectrometry
Mohammad Farahmand, Amoon Jamzad, Fahimeh Fooladgar +7
Purpose: Accurately classifying tissue margins during cancer surgeries is crucial for ensuring complete tumor removal. Rapid Evaporative Ionization Mass Spectrometry (REIMS), a too…