乌鸦传媒

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Daniel
Byrne
, MS

Associate

Departmental Affiliations

Affiliated

Contact Info

Research Interests

Artificial intelligence in healthcare, pragmatic randomized controlled trials, improving patient outcomes, machine learning, biostatistics, reproducible research, preventing chronic disease and hospital complications with AI.

Experiences & Accomplishments
Education
MS
New York Medical College
1991
Overview

Daniel Byrne uses his four decades of experience in biostatistics and artificial intelligence in healthcare to develop, implement, and evaluate the impact of AI on patient outcomes.

Select Publications
  • Books:

    "Artificial Intelligence for Improved Patient Outcomes 鈥 Principles for Moving Forward with 

    Rigorous Science". 

    &苍产蝉辫;鈥Publishing Your Medical Research

    Medical Journal Articles:

    From Google Scholar:

Projects
Bloomberg School of Public Health, Summer Course 鈥 Artificial Intelligence for Improved Patient Outcomes /course/42002
AI in Healthcare 鈥 Great Learning (Online course) https://www.mygreatlearning.com/
AI for Improved Patient Outcomes - 1-day workshop. https://lifelonglearning.jhu.edu/johns-hopkins-university-course-ai-for-improved-patient-outcomes/