Chicago Department of Public Health

Opportunities and risks of large language models in psychiatry

Nick Obradovich, Sahib S. Khalsa, Waqas Ullah Khan et al.

2024 · 62 Zit.

Application of artificial intelligence and machine learning for HIV prevention interventions

Yang Xiang, Jingcheng Du, Kayo Fujimoto et al.

2021 · 54 Zit.

Using Big Data Analytics to Advance Precision Radiation Oncology

Todd McNutt, Stanley Benedict, Daniel A. Low et al.

2018 · 38 Zit.

Machine learning with multimodal data for COVID-19

Weijie Chen, Rui Carlos Sá, Yuntong Bai et al.

2023 · 25 Zit.

Assessing the Accuracy, Completeness, and Reliability of Artificial Intelligence-Generated Responses in Dentistry: A Pilot Study Evaluating the ChatGPT Model

Kelly Fernanda Molena, Ana Paula Macedo, Anum Ijaz et al.

2024 · 19 Zit.

Cost‐Effectiveness of Advanced Neuroimaging for Transient and Minor Neurological Events in the Emergency Department

Ava L. Liberman, Zhang Hui, Sara Rostanski et al.

2021 · 8 Zit.

The use of open source electronic health records within the federal safety net

Jason Goldwater, Nancy J Kwon, Ashley Nathanson et al.

2013 · 6 Zit.

Look Before You Leap: Insights On The Implementation Of Ai Across Healthcare Settings

Shilo Anders, Laura G. Militello, Yuval Bitan et al.

2023 · 1 Zit.

“Can ChatGPT Answer Patient’s Questions?”: A Preliminary Analysis

Donghua Tao, Karl M. Kochendorfer, Tina Griffin et al.

2025 · 0 Zit.

The need to develop health data transaction disclosure requirements to balance transparency, privacy, and progressive use

Matthew G. Crowson, Jade Z H Tan, Jessilyn Dunn et al.

2026 · 0 Zit.

Demonstration of Interoperability Between MIDRC and N3C: A COVID-19 Severity Prediction Use Case

Heather M. Whitney, Rachel Baccile, Hui Li et al.

2025 · 0 Zit.

Designing Health Care Provider–Centered Emergency Department Interventions: Participatory Design Study

Woosuk Seo, Jiaqi Li, Zhan Zhang et al.

2025 · 0 Zit.

Robust cancer crowdfunding predictions: Leveraging large language models and machine learning for success analysis

Abhishikta Roy, Vineet Srivastava, Lokesh Boggavarapu et al.

2025 · 0 Zit.

Development of a Determinant Framework to Guide the Translation of AI Systems in Clinical Care

Ayomide Owoyemi

2023 · 0 Zit.

Leveraging Large Language Models and Machine Learning for Success Analysis in Robust Cancer Crowdfunding Predictions: Quantitative Study

Runa Bhaumik, Abhishikta Roy, Vineet Srivastava et al.

2025 · 0 Zit.