An estimated 250,000 people die from preventable medical errors in the U.S. each year. Many of these errors originate during the diagnostic process. A powerful way to increase diagnostic accuracy is to combine the diagnoses of multiple diagnosticians into a collective solution. However, there has been a dearth of methods for aggregating independent diagnoses in general medical diagnostics.

Artificial intelligence (AI) from patient electrocardiograms (ECGs) may be an innovative solution to enhance heart disease risk assessment. Atherosclerotic cardiovascular disease - arteries narrowed or blocked by the accumulation of fatty plaques - is the leading global cause of death and is often driven by coronary artery disease.

Many studies have found that practicing mindfulness - defined as cultivating an open-minded attention to the present moment - has benefits for children. Children who receive mindfulness training at school have demonstrated improvements in attention and behavior, as well as greater mental health.

Artificial intelligence (AI) is already widely used in medical diagnostics. An Austrian-Australian research team led by dermatologist Harald Kittler from MedUni Vienna investigated the extent to which diagnosis and therapy of pigmented skin lesions benefit from it in a realistic clinical scenario.

ChatGPT, the AI language model capable of mirroring human conversation, may be better than a doctor at following recognised treatment standards for clinical depression, and without any of the gender or social class biases sometimes seen in the primary care doctor-patient relationship, finds research published in the open access journal Family Medicine and Community Health.

ChatGPT, a sophisticated chatbot driven by artificial intelligence (AI) technology, has been increasingly used in health care contexts, one of which is assisting patients in self-diagnosing before seeking medical help. Although it seems very useful at first glance, AI may cause more harm than good to the patient if it is not accurate in its diagnosis and recommendations.

Starting buprenorphine treatment for opioid use disorder through telehealth was associated with an increased likelihood of staying in treatment longer compared to starting treatment in a non-telehealth setting, according to a new study analyzing Medicaid data from 2019-2020 in Kentucky and Ohio.