It’s not unusual for hospitalized patients to take a sudden turn for the worse. A continuous inspection of electronic medical records by machine-learning algorithms can warn of impending trouble in real time, giving physicians a chance to proactively intervene.

Using a dataset of records from nearly 3 million pediatric patients, South Korean researchers have developed and validated a deep-learning algorithm that can tell emergency doctors which children will need to be admitted to critical-care units.

Hospital inpatients who are likely to turn violent can be identified by algorithmic analysis of routine clinical notes stored in electronic health records, according to a study published in JAMA Network Open July 3.

Social media networks like Facebook and YouTube are seeing a wave of false medical information about dubious cancer treatments, with millions of views, according to the Wall Street Journal.

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.

Gadolinium-based contrast agents (GBCAs) can often bring out the best in MRI, but they’re controversial and thus increasingly avoided. A pilot study in Germany shows how an algorithm might substitute for an injection to track tumors of the brain and spinal cord (aka gliomas).

An Irish AI startup whose investors have already raised $65 million is pledging to deliver a breakthrough natural food additive by the end of this year and four more by 2021.

Aided by augmented reality, AI and portable neuroimaging technology, physicians may soon be able to tease out images of patients’ brains—right there in the doctor’s office—to see how much pain each patient is suffering.