The tool makes the call based on factors readily available to busy clinicians, respecting their workflows while helping patients and families decide whether moving to access a stepped-up care setting would fit well with their aims and values.

Two bioinformatics experts have used AI to accurately estimate regional COVID infection rates, aka seroprevalence, in all 50 states and 50 hard-hit countries.

The plan is to draw health data from every available source to continuously nudge individuals toward not only appropriate medical care but also healthier lifestyles.

Google Cloud has launched an AI-backed technology toolkit to help government health personnel direct COVID vaccine doses and other resources where they’re most needed.

Computer engineers have produced a deep learning framework for very quickly fine-tuning vaccines to fight emerging variant strains of COVID-19.

The FDA has OK’d AI software that can predict worsening condition in ICU patients up to eight hours before the falloff produces symptoms.

AI-based CDS tools that perform well in clinical trials will flounder on the way to clinical practice if they’re not evaluated early and thoroughly for their effects on real-world clinical decisionmaking.  

AI has proven capable of automatically detecting looming heart trouble on CT scans taken for lung issues like lung cancer, pulmonary embolism and pneumonia.

Hospital leaders discouraged by COVID-19’s devastating toll on human life and wellbeing must also mind the price the crisis is exacting on their organization’s financial health.  

HHS has published a document that it says marks the department’s first concerted move to transform itself into an “AI-fueled enterprise.”