Journal of Global Health / 2018

Artificial intelligence, machine learning and health systems

T. Panch, Peter Szolovits, R. Atun

Computer VisionFoundation ModelsReinforcement Learning

Artificial Intelligence and machine learning have the potential to be the catalyst for transformation of health systems to improve efficiency and effectiveness, create headroom for universal health coverage and improve outcomes

445 citations10 influential

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### Paper attached as context
Title: Artificial intelligence, machine learning and health systems
Authors: T. Panch, Peter Szolovits, R. Atun
Year: 2018
Venue: Journal of Global Health
Categories: Computer Vision, Foundation Models, Reinforcement Learning
Citations: 445
Paper URL: https://www.semanticscholar.org/paper/561b15685fb900593f43ac8f7e615a73bb4ff965
Open PDF: Not available

Abstract:
Artificial Intelligence and machine learning have the potential to be the catalyst for transformation of health systems to improve efficiency and effectiveness, create headroom for universal health coverage and improve outcomes

Learning resources:
- Google Scholar: Google Scholar references (https://scholar.google.com/scholar?q=Artificial%20intelligence%2C%20machine%20learning%20and%20health%20systems)
- Papers with Code: Papers with Code search (https://paperswithcode.com/search?q=Artificial%20intelligence%2C%20machine%20learning%20and%20health%20systems)
- Semantic Scholar: Semantic Scholar paper page (https://www.semanticscholar.org/paper/561b15685fb900593f43ac8f7e615a73bb4ff965)
- YouTube: YouTube explanations (https://www.youtube.com/results?search_query=Artificial%20intelligence%2C%20machine%20learning%20and%20health%20systems+paper+explained)