Using a deep-learning model, researchers at MIT have identified a powerful new drug that can kill many species of antibiotic-resistant bacteria.

While Sutter already has lower-than-average rates of preventable errors in its lung cancer detection, the health system hopes this technology will further improve their percentages.

The study demonstrated AI’s ability to predict which patients might die or suffer major adverse heart events better than a doctor using traditional approaches.

Yes, AI is transforming healthcare, says one stakeholder, but ethical guidelines for its development and use need to be put in place to ensure safe outcomes and longterm public trust.

According to Caption Guidance, the tool guides practitioners in real time on how to place and move the scanner to produce the best quality image.

AI can certainly mine through potential molecular combinations faster than humans, but some observers fear the possibilities for drug development are still more hype than reasonable expectation.

Coupled with dedicated clinical care, says one stakeholder, AI can help providers focus care efforts on patients struggling with the increasing prevalence of diabetes and chronic kidney disease.

The uses of AI are already quite innovative, says one stakeholder, but more thought needs to be given to an array of ethical questions and whether all the technologies are delivering expected outcomes.

Among other things, he says, the development of AI-enabled solutions in partnership – between providers, payers, patients, researchers, and regulators – is a way of ensuring optimal transparency.