In a pilot study of 16 patients, the system’s recommendations were deemed safe by expert endocrinologists at a clip of more than 99% over the course of four weeks.

The authors further found that a majority of hospitals are now using standalone telemedicine products rather than those that are part of their EHR.

An inquest into the death of a 24-year-old scaffolder has found that the patient was “failed” by his healthcare providers.

Machine learning is playing a key role in predicting all major forms of drug cardiotoxicity, potentially helping reduce late-stage clinical trial failures.

As the COVID-19 pandemic escalated in March and April 2020, many cardiologists made the transition to telemedicine. How did this necessary adjustment affect patient care?

As an academic AI expert, Pascale Fung, PhD, dove into the scientific research when she was diagnosed with breast cancer in 2015. The time investment rewarded her with a depth of understanding that has helped shape her life as a cancer survivor.

Researchers have found that spiking neural networks become unstable after unbroken periods of unsupervised self-training. Moreover, these “artificial brains” seem to restabilize after they’re given the equivalent of a good night’s rest.

AI is stepping in to help speed up the diagnosis of COVID-19 and expedite how much time healthcare professionals spend determining COVID-19 pneumonia and non-COVID-19 cases.