Health Informatics

Clinicians and surgeons are increasingly using medical devices based on artificial intelligence. These AI devices, which rely on data-driven algorithms to inform health care decisions, presently aid in diagnosing cancers, heart conditions and diseases of the eye, with many more applications on the way.... Read more

For artificial intelligence (AI) to realize its full potential to benefit cancer patients, researchers will have to prove that their machine-learning successes can be consistently reproduced across settings and patient populations.... Read more

Peri-implantitis, a condition where tissue and bone around dental implants becomes infected, besets roughly one-quarter of dental implant patients, and currently there's no reliable way to assess how patients will respond to treatment of this condition.... Read more

Trained to see patterns by analyzing thousands of chest X-rays, a computer program predicted with up to 80 percent accuracy which COVID-19 patients would develop life-threatening complications within four days, a new study finds.... Read more

Artificial intelligence (AI)-driven healthcare has the potential to transform medical decision-making and treatment, but these algorithms must be thoroughly tested and continuously monitored to avoid unintended consequences to patients.... Read more

Knee osteoarthritis (OA) is a global health problem. Almost half the adults over the age of 75 have some form of knee OA—one of the leading causes of disability worldwide. Because there is no cure for knee OA, current treatment relies on accurately identifying and staging the disease.... Read more

Like other medical specialties at the start of the COVID-19 pandemic, orthopedic surgery rapidly pivoted from in-person visits to remote appointments via telemedicine. Analysis of that initial experience finds that some groups of patients faced persistent or worsening disparities as the shift to telemedicine occurred, reports Clinical Orthopaedics and Related... Read more

Researchers used AI to identify which daily changing clinical parameters best predict intervention responses in critically ill COVID-19 patients.... Read more

As the use of artificial intelligence (AI) in health applications grows, health providers are looking for ways to improve patients' experience with their machine doctors.... Read more

A team of researchers at the Ear Institute, University College London has found that the sound-processing algorithms used in hearing aids can degrade the ability of hearing-impaired people to discriminate sounds. In their paper published in the journal Nature Biomedical Engineering, the group describes their study of hearing aids using... Read more

A research group led by Dr. Hideyuki Kobayashi at Toho University Omori Medical Center in Tokyo developed an AI-assisted image classifier that provides scores for histological testis images of patients with azoospermia. The objective of Dr. Kobayashi, a urologist, was to create an easy-to-use method of pathological examination for the... Read more

Anesthestic drugs act on the brain, but most anesthesiologists rely on heart rate, respiratory rate, and movement to infer whether surgery patients remain unconscious to the desired degree. In a new study, a research team based at MIT and Massachusetts General Hospital shows that a straightforward artificial intelligence approach, attuned... Read more

More than ever, patients are using telehealth to ask doctors and nurses about worrying blood-pressure readings, nauseating migraines and stubborn foot ulcers. But for patients with chronic conditions, how frequent should telehealth appointments be? Can that frequency change? Under what conditions?... Read more

At its peak, the current COVID-19 pandemic has all but brought social and economic life to a virtual standstill. Although lockdowns and social distancing have proven effective in bringing down infection rates and COVID-associated deaths, they did so at considerable costs and thus at far unpredictable medical and psychological long-term... Read more

The difference made to health care quality measurement by voluntary data sharing across a region's health systems and ambulatory care practices is examined in the Journal of the American Medical Informatics Association by Adam Wright, Ph.D., and colleagues.... Read more