Even as AI is being thrust into efforts such as the battle against COVID-19, researchers in specialties such as oncology are examining the new technologies for their potential for deeper, more fundamental advances in medicine.

Via the new tool, researchers can explore topics such as PPE effectiveness, social distancing efficacy and the transmission environment, among other currently critical pandemic-related topics.

Personalizing the learning experience through AI-driven algorithms can make a significant impact on injury rates when more ergonomic factors are taken into consideration.

For AI to be effective, says one data scientist, decision makers must learn to use the technologies in the right context, as well as to critically evaluate the resulting output.

To prevent mental health issues from becoming a problem on the battlefield, DoD wants to develop predictive AI that can flag behavior changes in a service member.

Among other things, advances in conversational AI, chatbots and rapid-response virtual agents give patients self-serve options that can then be turned into actionable data for caregivers.

A vendor-neutral platform, the new tool integrates into a user’s medical imaging environment, providing clinicians with results as part of their routine diagnostic workflow.

With the incidence of diabetes rising steadily around the world, new AI-augmented retinopathy screening programs could yield significant savings for national health systems.

The use of AI to fight COVID-19 shows the technology’s potential to step up quickly in an emergency, but longterm use requires the continuation of careful, patient testing.