AI tools improve diagnostics and patient outcome prediction in resource-limited health care settings

After a cardiac arrest, families and doctors are often faced with agonizing uncertainty about a patient’s chances of recovery. This uncertainty is even greater in hospitals with limited resources, where access to advanced diagnostic tools and large datasets is constrained.

This article was originally published on MedicalXpress.com

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