UF Health Cancer Center

A study of generative large language model for medical research and healthcare

Peng Cheng, Xi Yang, Aokun Chen et al.

2023 · 358 Zit.

Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction

Peng Cheng, Xi Yang, Kaleb E Smith et al.

2024 · 62 Zit.

The application of artificial intelligence and data integration in COVID-19 studies: a scoping review

Yi Guo, Yahan Zhang, Tianchen Lyu et al.

2021 · 49 Zit.

Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need

Peng Cheng, Xi Yang, Aokun Chen et al.

2024 · 26 Zit.

Evaluating <scp>ChatGPT</scp> 's accuracy in providing screening mammography recommendations among older women: Artificial Intelligence and cancer communication

Dejana Braithwaite, Shama D. Karanth, Joel Divaker et al.

2024 · 7 Zit.

Evaluating the Effectiveness of ChatGPT and Google Gemini in Providing Lung Cancer Screening Recommendations for Vulnerable Communities

Caretia J. Washington, Joel Divaker, Michael K. Gould et al.

2025 · 2 Zit.

Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction

Peng Cheng, Xi Yang, Kaleb E Smith et al.

2023 · 1 Zit.

Artificial Intelligence in Oncology: A 10-Year ClinicalTrials.gov-Based Analysis Across the Cancer Control Continuum

Himanshi Verma, Shilpi Mistry, Krishna Vamsi Jayam et al.

2025 · 1 Zit.

Improving distress screening completion rates: Does virtual robot animation make a difference?

Tomáš Dvořák, Diane Robinson, Emily Ross et al.

2017 · 0 Zit.