University of Massachusetts Lowell
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
High Rates of Fabricated and Inaccurate References in ChatGPT-Generated Medical Content
Mehul Bhattacharyya, Valerie M. Miller, Debjani Bhattacharyya et al.
2023 · 244 Zit.
Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development
Tyler Bradshaw, Ronald Boellaard, Joyita Dutta et al.
2021 · 91 Zit.
Drug discovery companies are customizing ChatGPT: here’s how
Neil Savage
2023 · 83 Zit.
Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem
Babak Saboury, Tyler Bradshaw, Ronald Boellaard et al.
2022 · 62 Zit.
How AI is improving cancer diagnostics
Neil Savage
2020 · 60 Zit.
Healthcare data scientist qualifications, skills, and job focus: a content analysis of job postings
Melanie Meyer
2018 · 55 Zit.
Ease of adoption of clinical natural language processing software: An evaluation of five systems
Kai Zheng, V. G. Vinod Vydiswaran, Yang Liu et al.
2015 · 43 Zit.
BioInstruct: instruction tuning of large language models for biomedical natural language processing
Hieu Tran, Zhichao Yang, Zonghai Yao et al.
2024 · 42 Zit.
Transforming dental diagnostics with artificial intelligence: advanced integration of ChatGPT and large language models for patient care
Masoumeh Farhadi Nia, Mohsen Ahmadi, Elyas Irankhah
2025 · 41 Zit.
Performance of Multimodal GPT-4V on USMLE with Image: Potential for Imaging Diagnostic Support with Explanations
Zhichao Yang, Zonghai Yao, Mahbuba Tasmin et al.
2023 · 37 Zit.
Unveiling GPT-4V's hidden challenges behind high accuracy on USMLE questions: Observational Study
Zhichao Yang, Zonghai Yao, Mahbuba Tasmin et al.
2025 · 27 Zit.
Assessing the Readability of Medical Documents: A Ranking Approach
Jiaping Zheng, Hong Yu
2018 · 26 Zit.
Recent Trend in Artificial Intelligence-Assisted Biomedical Publishing: A Quantitative Bibliometric Analysis
Larry E. Miller, Debjani Bhattacharyya, Valerie M. Miller et al.
2023 · 22 Zit.
Transforming Informed Consent Generation Using Large Language Models: Mixed Methods Study
Qiming Shi, Katherine Luzuriaga, Jeroan J. Allison et al.
2025 · 17 Zit.
Multimodal Machine Learning for 10-Year Dementia Risk Prediction: The Framingham Heart Study
Huitong Ding, Amiya Mandapati, Alexander Hamel et al.
2023 · 15 Zit.