Research

Virtual Reality Environment for Teens may Offer an Accessible, Affordable Way to Reduce Stress

Social media. The climate crisis. Political polarization. The tumult of a pandemic and online learning. Teens today are dealing with unprecedented stressors, and over the past decade their mental health has been in sustained decline. Levels of anxiety and depression rose after the onset of the COVID-19 pandemic. Compounding the problem is a shortage of mental health providers - for every 100,000 children in the U.S., there are only 14 child and adolescent psychiatrists.

AI Predicts Tumor-Killing Cells with High Accuracy

Using artificial intelligence, Ludwig Cancer Research scientists have developed a powerful predictive model for identifying the most potent cancer killing immune cells for use in cancer immunotherapies.

Combined with additional algorithms, the predictive model, described in the current issue of the journal Nature Biotechnology,

Researchers Use Foundation Models to Discover New Cancer Imaging Biomarkers

Researchers at Mass General Brigham have harnessed the technology behind foundation models, which power tools like ChatGPT, to discover new cancer imaging biomarkers that could transform how patterns are identified from radiological images. Improved identification of such patterns can greatly impact the early detection and treatment of cancer.

Virtual Reality Shows Promise in Fighting Depression

A new study published in JMIR Mental Health sheds light on the promising role of virtual reality (VR) in treating major depressive disorder (MDD). Titled "Examining the Efficacy of Extended Reality–Enhanced Behavioral Activation for Adults With Major Depressive Disorder: Randomized Controlled Trial," the research, led by Dr Margot Paul and team from Stanford University, unveiled the effectiveness of extended reality (XR)–enhanced behavioral activation (XR-BA) in easing symptoms of depression.

With Huge Patient Dataset, AI Accurately Predicts Treatment Outcomes

Scientists have designed a new artificial intelligence (AI) model that emulates randomized clinical trials at determining the treatment options most effective at preventing stroke in people with heart disease.

The model was front-loaded with de-identified data on millions of patients gleaned from health care claims information submitted by employers, health plans and hospitals - a foundation model strategy similar to that of generative AI tools like ChatGPT.

GPT-4, Google Gemini Fall Short in Breast Imaging Classification

Use of publicly available large language models (LLMs) resulted in changes in breast imaging reports classification that could have a negative effect on patient management, according to a new international study published today in the journal Radiology, a journal of the Radiological Society of North America (RSNA). The study findings underscore the need to regulate these LLMs in scenarios that require high-level medical reasoning, researchers said.

ChatGPT fails at heart risk assessment

Despite ChatGPT's reported ability to pass medical exams, new research indicates it would be unwise to rely on it for some health assessments, such as whether a patient with chest pain needs to be hospitalized.

In a study involving thousands of simulated cases of patients with chest pain, ChatGPT provided inconsistent conclusions, returning different heart risk assessment levels for the exact same patient data.

Research News

Virtual Reality Environment for Teens may Offer an Accessible, Affordable Way to Reduce Stress

AI Predicts Tumor-Killing Cells with High Accuracy

Researchers Use Foundation Models to Discover New Cancer Imaging Biomarkers

Virtual Reality Shows Promise in Fighting Depression

With Huge Patient Dataset, AI Accurately Predicts Treatment Outcomes

GPT-4, Google Gemini Fall Short in Breast Imaging Classification

ChatGPT fails at heart risk assessment

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