Mild cognitive impairment (MCI) can be an early indicator of Alzheimer's disease or dementia, so identifying those with cognitive issues early could lead to interventions and better outcomes. But diagnosing MCI can be a long and difficult process, especially in rural areas where access to licensed neuropsychologists is limited.

To increase accessibility to cognitive assessments, a team of researchers at the University of Missouri created a portable system to efficiently measure multiple aspects of motor function.

In a Duke Health-led survey, patients who were shown messages written either by artificial intelligence (AI) or human clinicians indicated a preference for responses drafted by AI over a human. That preference was diminished, though not erased, when told AI was involved.

The study, publishing March 11 in JAMA Network Open, showed high overall satisfaction with communications written both by AI and humans, despite their preference for AI.

In today’s economy, many workers have transitioned from manual labor toward knowledge work, a move driven primarily by technological advances, and workers in this domain face challenges around managing non-routine work, which is inherently uncertain. Automated interventions can help workers understand their work and boost performance and trust. In a new study, researchers explored how artificial intelligence (AI) can enhance performance and trust in knowledge work environments.

Individuals with generalized anxiety disorder (GAD), a condition characterized by daily excessive worry lasting at least six months, have a high relapse rate even after receiving treatment. Artificial intelligence (AI) models may help clinicians identify factors to predict long-term recovery and better personalize patient treatment, according to researchers from Penn State.

At the height of the COVID-19 pandemic, hospitals frequently ran short of beds in intensive care units. But even earlier, ICUs faced challenges in keeping beds available. With an aging American population, 11% of hospital stays included ICU stays.

Artificial intelligence (AI) offers a possible solution, says Indranil Bardhan, professor of information, risk, and operations management and Charles and Elizabeth Prothro Regents Chair in Health Care Management at Texas McCombs.

AFib (short for atrial fibrillation), a common heart rhythm disorder in adults, can have disastrous consequences including life-threatening blood clots and stroke if left undetected or untreated. A new study demonstrates that UNAFIED, a highly accurate artificial intelligence (AI) prediction model which uses machine learning to parse information acquired from a patient's electronic health record (EHR) to predict whether a patient has or might develop detectable AFib

Low-value care - medical tests and procedures that provide little to no benefit to patients - contributes to excess medical spending and both direct and cascading harms to patients. A research team from Mass General Brigham and their collaborators have found that telemedicine may help to reduce the use of low-value tests. The work is published in JAMA Internal Medicine.