Quanzheng Li

Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success

2018 · 696 Zit. · Journal of the American College of Radiology

Federated learning for predicting clinical outcomes in patients with COVID-19

2021 · 668 Zit. · Nature Medicine

Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development

2021 · 90 Zit. · Journal of Nuclear Medicine

DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4

2023 · 89 Zit. · arXiv (Cornell University)

Differentiating ChatGPT-Generated and Human-Written Medical Texts: Quantitative Study

2023 · 67 Zit. · JMIR Medical Education

AugGPT: Leveraging ChatGPT for Text Data Augmentation

2025 · 65 Zit. · IEEE Transactions on Big Data

Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem

2022 · 61 Zit. · Journal of Nuclear Medicine

Large language models illuminate a progressive pathway to artificial intelligent healthcare assistant

2024 · 57 Zit. · Medicine Plus

BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks

2023 · 51 Zit. · arXiv (Cornell University)

Federated Learning used for predicting outcomes in SARS-COV-2 patients

2021 · 44 Zit. · Research Square

Artificial intelligence for stepwise diagnosis and monitoring of COVID-19

2022 · 43 Zit. · European Radiology

Zero shot health trajectory prediction using transformer

2024 · 40 Zit. · npj Digital Medicine

Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain

2023 · 36 Zit. · Lecture notes in computer science

Surviving ChatGPT in healthcare

2024 · 30 Zit. · Frontiers in Radiology

Radiology-Llama2: Best-in-Class Large Language Model for Radiology

2023 · 30 Zit. · arXiv (Cornell University)