Researchers are developing an app and wearable technology to enable pregnant women to use a smartphone to detect whether they have a condition that could lead to serious health complications for them or their unborn child.
A neuroscientist at University of Texas at Austin wants to democratize the field and support infrastructure.
AI-driven healthcare has the potential to transform medical decision-making and treatment, but these algorithms must be thoroughly tested and continuously monitored to avoid unintended consequences to patients.
According to researchers at Indiana University, digital twins could lead to more proactive and personalized medicine.
A new machine learning–based online tool allows for early detection of COVID-19 outbreaks in different U.S. counties.
A study shows medics successfully performing surgery in life-like simulations of these war zones by receiving guidance from surgeons through an AR headset.
Research found that chatbots working for reputable organizations can ease the burden on medical providers and offer trusted guidance to those with symptoms.
