4 papers
End to End AI System for Surgical Gesture Sequence Recognition and Clinical Outcome Prediction
Xi Li, Nicholas Matsumoto, Ujjwal Pasupulety +11
Fine-grained analysis of intraoperative behavior and its impact on patient outcomes remain a longstanding challenge. We present Frame-to-Outcome (F2O), an end-to-end system that tr…
StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis
Jose Guadalupe Hernandez, Attri Ghosh, Philip J. Freda +3
We present the Star-Based Automated Single-locus and Epistasis analysis tool - Genetic Programming (StarBASE-GP), an automated framework for discovering meaningful genetic variants…
AI-driven Automation of End-to-end Assessment of Suturing Expertise
Atharva Deo, Nicholas Matsumoto, Sun Kim +8
We present an AI based approach to automate the End-to-end Assessment of Suturing Expertise (EASE), a suturing skills assessment tool that comprehensively defines criteria around r…
Faster Convergence with Lexicase Selection in Tree-based Automated Machine Learning
Nicholas Matsumoto, Anil Kumar Saini, Pedro Ribeiro +7
In many evolutionary computation systems, parent selection methods can affect, among other things, convergence to a solution. In this paper, we present a study comparing the role o…