An influx of cash would help stabilize rural health systems, but the program’s focus on technology may leave other major issues unaddressed.
Articles on AI in healthcare
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Uncertainty is common in medicine, and AI isn’t very good at navigating it.
Measuring the actual effects of using AI systems is no easy task.
Health insurance companies use AI to decide which health care treatment to cover. State laws and federal agencies are now moving toward regulating these algorithms.
The NHS needs a healthy and resilient workforce to lead the digital transformations planned for the service.
We’ve tried to take a clear-eyed view of the pros and cons to help governments decide how to move forward.
Artificial intelligence has been around for decades, and is much more than just ChatGPT. Here’s a rundown of some lesser known AI applications.
From helping surgeons to carry out complex procedures to monitoring the heartbeat of the chronically ill, the use of AI in cancer care is set to be game-changing.
Using AI effectively in healthcare will require retraining of the workforce, retooling health services, and transforming workflows.
Top contributors
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Associate Professor, Marketing and Social Science, Bocconi University
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Associate Professor, Department of Psychology , University of Milano-Bicocca
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Communications Advisor, CSIRO
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CEO, Australian e-Health Research Centre, CSIRO
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Professor in Computational Intelligence, Australian Catholic University
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Professor of Medical Informatics, Macquarie University
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Professor of Marketing and Academic Director of MSc. in Biopharmaceutical Management, ESCP Business School
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Dean, School of Computing Technologies, RMIT University, RMIT University
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Professor of Health Economics, Brunel University of London
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Professor of Law, Indiana University
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Affiliate, Monash Bioethics Centre, Monash University
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Associate Professor of Medicine, University of Virginia
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Professor of Family and Preventive Medicine, University of South Carolina