Artificial intelligence, machine learning and health systems
By Trishan Panch, Peter Szolovits, Rifat A. Atun. Journal of Global Health, 2018
460 citations recorded by the source corpus.
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
Subfields: Artificial Intelligence, Health Informatics, Health Information Management
View Paper: https://www.semanticscholar.org/paper/561b15685fb900593f43ac8f7e615a73bb4ff965
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Heather Mattie
- Trishan Panch
- Rifat A. Atun
- Zeeshan Ahmed
- Joseph Homer Saleh
- Khalid Mohamed
- Xinqi Dong
- Zhaoyi Xu
In Health Informatics
In Health Information Management
Citations in the corpus
- Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities (2020, background): “Machine learning pervades an increasing number of fields, from banking and finance [1, 2, 3] to healthcare [4, 5, 6], robotics [7, 8, 9], transportation [10, 11, 12], e-commerce [13, 14, 15], and social networks to mention a few.”
- Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine (2020, background): “ML is becoming the transformational force in healthcare (89) for guiding individual and population health with several computational benefits, which includes realtime patient monitoring; disease patterns analysis (90); disease diagnosis and prescription of medicines; patientcentric care provision wi”
- Artificial intelligence and algorithmic bias: implications for health systems (2019, methodology): “AI is a potentially transformative tool for improving inference from data for care and population health [ 1 ].”
- Revolutionizing healthcare: the role of artificial intelligence in clinical practice (2023, background): “…has rapidly expanded, which could greatly help the healthcare providers in the emergency department (ED) as they face challenging difficulties from the rising burden of diseases, greater demand for time and health services, higher societal expectations, and increasing health expenditures [27].”