Deep reinforcement learning enabled by AI can help physicians figure out whether opioids would truly be better than other interventions for patients suffering pain in intensive care units.

Researchers and data scientists at IBM have developed three novel algorithms aimed at uncovering the underlying biological processes that cause tumors to form and grow.

AI in healthcare is advancing many areas of care and diagnosis, but it is also helping predict the clinical risk and severity of malaria.

Compared with standard statistical reviews of process-control charts, AI analysis of data routinely captured by hospitals monitoring handwashing compliance can provide highly targeted and actionable feedback to individual healthcare workers.

Combining machine learning with statistical modeling, researchers have analyzed tweets to figure out who’s doing more to keep fit—men or women—along with exactly how the sexes are exercising and approximately where they live.

In regions of the world lacking resources to conduct comprehensive autopsies, AI can automatically draw cause-of-death conclusions from verbalized clues.

The VA’s inaugural director of artificial intelligence believes the technology is “the only way” to move healthcare closer to its perennial dual goals of reducing costs and providing better care.

Machine learning is being quickly adapted across the healthcare space to develop precision medicine, and it can also be leveraged to improve the development of new drug treatments and devices by improving the randomized clinical trial process, according to MIT researchers.

Several plant-based foods readily available in supermarkets contain bioactive molecules that could not only prevent cancer but also treat it, accomplishing the latter with protective mechanisms similar to those activated by existing clinical therapies.  

Researchers from Kaiser Permanente have developed a machine learning algorithm that could help prevent the spread of the HIV virus by finding at-risk patients and getting them on prevention medications. The researchers published the findings of their prediction model in The Lancet HIV.


From the U.S. by way of the Land Down Under comes a “turbo-charged” flu vaccine created by AI.

AI can help inform the personalized dose of radiation to treat cancer patients, with the technology using information from medical scans and EHRs, according to researchers from Cleveland Clinic.