High-tech 3D facial scans to give us a better understanding of the genetic causes of autism.
Mental health refers to cognitive, behavioral, and emotional well-being. We report on the application of e-mental health solutions, chatbots and extended reality tools for evaluation, treatment and monitoring of psychological disorders such as anxiety, depression and phobias.
The number of individuals with COVID-19 in the community was a significant factor associated with stress in health care workers over time.
Researchers are using virtual reality to understand the impact of moral distress on healthcare workers during the pandemic.
At Shift Medical, more than 60 leading medical XR experts will present and discuss the latest developments on the use of digital technologies such as virtual reality, augmented reality and mixed reality in medicine.
The Scar Free Foundation has launched a research programme that aims to revolutionise surgeons’ ability to reconstruct nose and ear cartilage in patients affected by facial difference.
New research on Olfactory Virtual Reality (OVR) paints a clearer picture for clinical psychiatrists about how it could be used to safely and effectively help mental health and mood disorders.
To help patients manage their mental wellness between appointments, researchers at Texas A&M University have developed a smart device-based electronic platform that can continuously monitor the state of hyperarousal, one of the signs of psychiatric distress.
Researchers have created a machine learning model that helps identify bipolar disorder at earlier stages.
Sharing information about the expected effect of a health app before its use and providing positive feedback regarding its effectiveness after its use have the potential to strengthen the placebo effect.
NIH BRAIN Initiative scientists used machine learning to redesign a bacterial ‘Venus flytrap’ protein that can monitor brain serotonin levels in real time.
Digital tracking of people with mental health conditions has the power to transform medical diagnostics and treatment, but its claims need careful scrutiny.
Researchers have shown that they can measure those effects of the Corona pandemic on mental health by analyzing the language that people use to express their anxiety online.
Researchers have created artificial intelligence algorithm that can automatically identify patients at high risk of intentional self-harm, based on the information in the clinical notes in the electronic health record.
Digital phenotyping and machine learning have emerged as promising tools for monitoring patients with psychosis spectrum illnesses.
For the first time doctors have shown that measuring changes in 24-hour heart rate can reliably indicate whether or not someone is depressed.