Departmental Affiliations
Affiliated
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 – Principles for Moving Forward with
Rigorous Science". https://www.amazon.com/dp/1975197933/
“Publishing Your Medical Research” https://www.amazon.com/dp/1496353862
Medical Journal Articles:
From Google Scholar: https://scholar.google.com/citations?user=Q4kTU5YAAAAJ&hl=en
Projects
Bloomberg School of Public Health, Summer Course – Artificial Intelligence for Improved Patient Outcomes https://publichealth.jhu.edu/course/42002
AI in Healthcare – 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/