When trained on routine health data and observation notes gathered by homecare aides, AI can be used to anticipate medical emergencies in the elderly one to two weeks ahead of an incident. The advance insights can both guide preventive care and save on unnecessary hospital and transportation costs.
“We hope these results will help test the effectiveness of new therapies for this form of MS and reduce the suffering patients experience,” said lead author of the study published in JAMA Neurology.
One of the medical specialties highly hopeful in AI’s potential to guide care is neurosurgery. That’s because patients with traumatic brain injuries often present care teams and family members with an especially thorny decision.
A drug commonly used to treat attention-deficit/hyperactivity disorder (ADHD) may impact the brain development of children, according to new findings published in Radiology.
Compared to on-pump CABG, off-pump surgery is associated with lower rates of revascularization and a significantly increased risk of all-cause death at three years, according to an analysis of the EXCEL trial.
A recent fMRI-based study found that learning via electronic devices such as smartphones or tablets can inhibit the brain’s ability to understand scientific texts, according to a recent study published by Scientific Reports.
Metrasens, a Malvern, England-based MRI technology company, has filed a new patent infringement case against Nanjing Cloud Magnet Electronic Technology Limited (Cloud Magnet).
Last week the U.K. government announced plans to pour £250 million (around $301.5 million) into a fledgling AI lab run by the National Health Service (NHS). The work is to focus on advancing medical science in various arenas, including cancer care and dementia. This week the skeptics started weighing in.
