Among other things, the new virtual medicine concept will provide smart and convenient services to patients, such as telemedicine, video, and phone visits, from anywhere.

The rapid adoption of AI to fight COVID-19 is likely to provide evidence for what works—and what doesn’t—for healthcare applications.

In a rush to find solutions for the Covid-19 pandemic, say experts, researchers need to be patient and thorough as they sift through data that might give us more clues about the virus.

According to the research team, the next step is to develop ways to make the system more efficient by requiring less visual data input and less data processing.

Even after the pandemic has passed, says one stakeholder, AI can help providers provide better care to the elderly while enabling them to stay safely at home.

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.