1.2k citations
- University of FloridaUS15 papers
- UF Health Cancer Center5 papers
- Cornell UniversityUS3 papers
- Florida CollegeUS3 papers
- Florida State UniversityUS3 papers
- Northwestern UniversityUS3 papers
- Stanford UniversityUS3 papers
- Weill Cornell MedicineUS3 papers
- Columbia UniversityUS2 papers
- Nvidia (United States)US2 papers
- Pennsylvania State UniversityUS2 papers
- University of Alabama at BirminghamUS2 papers
19 papers
Environment Scan of Generative AI Infrastructure for Clinical and Translational Science
Betina Idnay, Zihan Xu, William G. Adams +54
This study reports a comprehensive environmental scan of the generative AI (GenAI) infrastructure in the national network for clinical and translational science across 36 instituti…
Exploring the Thermostability of CRISPR Cas12b using Molecular Dynamics Simulations
Yinhao Jia, Katelynn Horvath, Santosh R. Rananaware +2
CRISPR (clustered regularly interspaced short palindromic repeat)- based diagnostics are at the forefront of rapid detection platforms of infectious diseases. The integration of re…
Automatic Summarization of Doctor-Patient Encounter Dialogues Using Large Language Model through Prompt Tuning
Mengxian Lyu, Cheng Peng, Xiaohan Li +3
Automatic text summarization (ATS) is an emerging technology to assist clinicians in providing continuous and coordinated care. This study presents an approach to summarize doctor-…
Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction
Cheng Peng, Xi Yang, Kaleb E Smith +4
Objective To develop soft prompt-based learning algorithms for large language models (LLMs), examine the shape of prompts, prompt-tuning using frozen/unfrozen LLMs, transfer learni…
A Study of Generative Large Language Model for Medical Research and Healthcare
Cheng Peng, Xi Yang, Aokun Chen +16
There is enormous enthusiasm and concerns in using large language models (LLMs) in healthcare, yet current assumptions are all based on general-purpose LLMs such as ChatGPT. This s…
MicroSegNet: A Deep Learning Approach for Prostate Segmentation on Micro-Ultrasound Images
Hongxu Jiang, Muhammad Imran, Preethika Muralidharan +12
Micro-ultrasound (micro-US) is a novel 29-MHz ultrasound technique that provides 3-4 times higher resolution than traditional ultrasound, potentially enabling low-cost, accurate di…