Search Results for author:
Found 4 papers, 2 papers with code
General surgery vision transformer: A video pre-trained foundation model for general surgery
The absence of openly accessible data and specialized foundation models is a major barrier for computational research in surgery.
Addressing cognitive bias in medical language models
There is increasing interest in the application large language models (LLMs) to the medical field, in part because of their impressive performance on medical exam questions.
General-purpose foundation models for increased autonomy in robot-assisted surgery
The dominant paradigm for end-to-end robot learning focuses on optimizing task-specific objectives that solve a single robotic problem such as picking up an object or reaching a target position.
Autonomously Navigating a Surgical Tool Inside the Eye by Learning from Demonstration
We show that the network can reliably navigate a needle surgical tool to various desired locations within 137 microns accuracy in physical experiments and 94 microns in simulation on average, and generalizes well to unseen situations such as in the presence of auxiliary surgical tools, variable eye backgrounds, and brightness conditions.
