The loss of any life can be devastating, but the loss of a life from suicide is especially tragic.

Around nine Australians take their own life each day, and it is the leading cause of death for Australians aged 15 - 44. Suicide attempts are more common, with some estimates stating that they occur up to 30 times as often as deaths.

Researchers at CeMM, the Medical University of Vienna (MedUni Vienna), and the Ludwig Boltzmann Institute for Rare and Undiagnosed Diseases (LBI-RUD) joined efforts to use their expertise in machine learning and management of patients with cirrhosis to develop a non-invasive algorithm that can help clinicians to identify patients with cirrhosis at highest risk for severe complications.

By using artificial intelligence (AI), Houston Methodist researchers are able to predict hospitalization outcomes of geriatric patients with dementia on the first or second day of hospital admission. This early assessment of outcomes means more timely interventions, better care coordination, more judicious resource allocation, focused care management and timely treatment for these more vulnerable, high-risk patients.

Researchers at the University of Michigan Rogel Cancer Center have developed a computational platform that can predict new and specific metabolic targets in ovarian cancer, suggesting opportunities to develop personalized therapies for patients that are informed by the genetic makeup of their tumors. The study appeared in Nature Metabolism.

Members of the public are being asked to help remove biases based on race and other disadvantaged groups in artificial intelligence (AI) algorithms for healthcare.

Health researchers are calling for support to address how ‘minoritised’ groups, who are actively disadvantaged by social constructs, would not see future benefits from the use of AI in healthcare.

With conditions such as carpal tunnel syndrome and osteoarthritis on the rise, U.S. hand surgeons perform more than half a million procedures each year. Patients undergoing hand surgery commonly receive a regional anesthetic to block pain prior to the procedure, plus monitored anesthesia care (MAC) during the operation.

Social media users may trust artificial intelligence (AI) as much as human editors to flag hate speech and harmful content, according to researchers at Penn State.

The researchers said that when users think about positive attributes of machines, like their accuracy and objectivity, they show more faith in AI.