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Academic Research

Study Finds Patients with Limited English Proficiency Have Poorer Experiences with Virtual Healthcare

People with limited English proficiency have a worse experience with virtual healthcare visits than those who are proficient in English, according to a new study led by a team of investigators at Brigham and Women’s Hospital, a founding member of the Mass General Brigham healthcare system.

May 15, 2024

Artificial Intelligence Can Improve OB-GYN Care

Cedars-Sinai investigators are using artificial intelligence (AI) to reduce serious health risks associated with pregnancy and childbirth and improve screening for some gynecological cancers.

May 15, 2024

Photo 17450606 / Hospital © Marshall Turner | Dreamstime.com

Adding AI to Artificial Pancreas Enhances Efficiency, Study Finds

Adding advanced artificial intelligence to an artificial pancreas regulating type 1 diabetes is safe and improves the system’s efficiency, a first-of-its-kind study from the University of Virginia Center for Diabetes Technology has found.

May 10, 2024

Photo 118459267 | Ai © Narong Rotjanaporn | Dreamstime.com

Despite AI Advancements, Human Oversight Remains Essential

State-of-the-art artificial intelligence systems known as large language models (LLMs) are poor medical coders, according to researchers at the Icahn School of Medicine at Mount Sinai.

Artificial Intelligence Tool to Improve Heart Failure Care

UVA Health researchers have developed a powerful new risk assessment tool for predicting outcomes in heart failure patients.

Top Nanotechnology Expert to Lead UVA’s NanoSTAR Institute

A preeminent expert in the use of nanotechnology to understand and fight disease will head up the University of Virginia’s Institute for Nanoscale Scientific and Technological Advanced Research, or nanoSTAR, as UVA enters a bold new era in nanotechnology research with the launch of the Paul and Diane Manning Institute of Biotechnology.

Mount Sinai Is First in New York to Study a Brain-Computer Interface Designed to Record and Map the Brain’s Activity in Unprecedented Detail

A multidisciplinary team of neurosurgeons and neuroscientists from the Icahn School of Medicine at Mount Sinai are the first in New York to study a new brain-computer interface that’s engineered to map a large area of the brain’s surface, in real time, at resolutions hundreds of times more detailed than typical arrays used in neurosurgical procedures.

One in Five State Medicaid Programs Covers Weight Loss Medications

Mounting evidence suggests that FDA-approved weight loss medications, such as Wegovy, not only help patients lose weight but also protect against complications from obesity such as cardiovascular disease.

Unifying Academic Medical Center Departments is Major Step in Harnessing Collective Expertise

Mass General Brigham clinicians, caregivers, and staff are coming together like never before to work to become the integrated academic healthcare system of the future with patients at the center.

Mount Sinai Researchers to Develop and Study AI-Powered Models That Identify Risk for Cardiovascular Disease and Treatment Response in Patients With Obstructive Sleep Apnea

Mount Sinai researchers are developing and studying models powered by artificial intelligence (AI) to identify the risk of cardiovascular disease events in patients with obstructive sleep apnea. The prediction models, using machine-learning techniques, will also help classify patients who may benefit from the most common treatment option for the disorder.

AI Finds Key Signs That Predict Patient Survival Across Dementia Types

Researchers at the Icahn School of Medicine at Mount Sinai and others have harnessed the power of machine learning to identify key predictors of mortality in dementia patients.

New Studies: AI Captures Electrocardiogram Patterns That Could Signal a Future Sudden Cardiac Arrest

Two new studies by Cedars-Sinai investigators support using artificial intelligence (AI) to predict sudden cardiac arrest—a health emergency that in 90% of cases leads to death within minutes.

New Epigenetic Clocks Reinvent How We Measure Age

What causes us to age? New “clocks” developed by researchers may help point to the answers. Investigators from Brigham and Women’s Hospital unveil a new form of epigenetic clock – a machine learning model designed to predict biological age from DNA structure.

Intravascular Imaging Significantly Improves Survival, Safety, and Outcomes in Cardiovascular Stenting Procedures Over Conventional Angiography

Using intravascular imaging to guide stent implantation during percutaneous coronary intervention (PCI) in heart disease patients significantly improves survival and reduces adverse cardiovascular events compared to angiography-guided PCI alone, the most commonly used method.

Mount Sinai Researchers Awarded $4.1 Million NIH Grant to Advance Understanding of Sleep Apnea Using Artificial Intelligence

Mount Sinai researchers have been awarded a five-year, $4.1 million grant from the National Heart, Lung, and Blood Institute at the National Institutes of Health to develop and study an artificial intelligence (AI)-powered model that predicts adverse outcomes of obstructive sleep apnea.

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