Physical AI for Oncology Clinical Trials

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Authors: Kevin Kawchak, Claude
Cited by: 0

Abstract

Practical tools for integrating physical AI into oncology clinical trials. Provides production-ready configurations, validated pipelines, and integration guides for deploying robotic systems, digital twins, and embodied AI agents in oncology. Covers NVIDIA Isaac Lab, MuJoCo, ORBIT-Surgical, dVRK, and agentic/generative AI frameworks.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Robot Manipulation and Learning Technology and Human Factors in Education and Health

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
31 January 2026