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Academic Research

Mount Sinai: New AI Tool Addresses Accuracy and Fairness in Data to Improve Health Algorithm

Artificial intelligence in healthcare has long carried a promise: faster diagnoses, predictive risk scores, and precision interventions, all at scale. But recent years have exposed a caveat baked into that optimism: if the training data isn’t representative, the output can’t be trusted. The result is a clinical inequity.

September 9, 2025

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UVA Health: Testing if MRI Can Reveal Undetected Brain Injuries in Soldiers

Hidden injuries have always been one of the most insidious threats in military medicine. From early battlefield concussion to long-term neurological impairment, brain trauma often escapes early detection, particularly in soldiers exposed to repeated low-level blasts.

September 8, 2025

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Icahn School of Medicine at Mount Sinai: AI-Driven Penetrance Modeling Pushes Genetic Risk Into Operational Territory

The announcement from the Icahn School of Medicine at Mount Sinai that its researchers have developed an AI-powered approach to determine the penetrance of rare genetic variants marks a strategic breakthrough, not just in genomics, but in how healthcare organizations operationalize genetic information. By using routine lab tests and machine learning to estimate the real-world disease risk associated with rare variants, Mount Sinai’s team is reframing what genomic data means in clinical care.

September 3, 2025

Chulalongkorn University: Virtual Reality Is No Longer a Novelty in Emergency Care Training

The expansion of virtual reality (VR) training in emergency medicine, as demonstrated by Chulalongkorn University’s nationwide rollout of its ER-VIPE platform, signals a larger shift in how global health systems are redefining preparedness, team performance, and workforce resiliency. The program, designed to improve real-time collaboration among emergency clinicians through gamified, VR-based simulations, offers more than an instructional upgrade. It highlights an emerging operational strategy: using immersive, low-risk environments to hardwire team-based competencies at scale.

Icahn School of Medicine at Mount Sinai: AI Image Analysis Tools Like MARQO Will Force a Reckoning in Cancer Diagnostics

The debut of MARQO, a next-generation image analysis tool developed by researchers at the Icahn School of Medicine at Mount Sinai, marks more than a technical advancement in oncology research. It signals a strategic inflection point in the evolution of diagnostic pathology, one that challenges longstanding assumptions about speed, scale, and the role of human interpretation in cancer care.

UVAHealth: Will AI-Driven Mental Health Support Close or Widen the Care Gap in Oncology?

The promise of artificial intelligence in mental health care is rapidly transitioning from experimental to operational. For breast cancer patients in particular, AI-based interventions could radically reshape how psychological distress is detected, triaged, and managed across settings. But the core question remains unresolved: Will these systems meaningfully extend care, or create a new layer of digital inequity?

UVA Health: The Automation Imperative in Diabetes Technology

Efforts to fully automate insulin delivery for type 1 diabetes are entering a critical inflection point. For nearly a decade, the artificial pancreas has promised to transform care for millions of people managing the condition. But even with notable advancements in hybrid closed-loop systems, a fundamental barrier remains: user burden.

Predictive AI in the ED Must Focus on Flow, Not Just Forecasting

Emergency department (ED) overcrowding is not a new problem, but artificial intelligence may finally be offering new tools to address it. A large-scale, multi-hospital study from the Mount Sinai Health System shows that AI can accurately predict which ED patients will require hospital admission, hours earlier than traditional workflows allow.

Digital CBT Tools Offer a Scalable Solution to Geriatric Insomnia

As the U.S. healthcare system contends with rising demand from an aging population, digital behavioral health interventions are stepping into gaps that traditional delivery systems cannot easily fill. A recent clinical trial of SHUTi OASIS, a fully automated, online cognitive behavioral therapy (CBT) program for insomnia tailored to adults over age 55, demonstrates the promise of digital therapeutics for chronic sleep disorders in older adults.

AI Chatbots in Health Care Need Safety Engineering, Not Just Smarter Models

A new study from the Icahn School of Medicine at Mount Sinai underscores a quietly growing risk in digital health: the tendency of AI chatbots to confidently spread false medical information. As large language models (LLMs) gain traction in clinical environments, supporting documentation, patient education, and even decision-making, the question of safety design has become urgent.

Greener Anesthesia Reshapes Surgical Sustainability

Operating rooms rank among the most resource-intensive spaces in any hospital, yet they rarely appear in climate-policy discussions. New data from Cedars-Sinai show how quickly that can change when clinical leadership, data transparency, and procurement policy align.

The Silent Shutdown of Academic Health Research Is Underway

Johns Hopkins University is sounding the alarm, and this time, it is not about clinical capacity or pandemic response. It is about the slow, politically charged defunding of the academic research infrastructure that undergirds everything from drug development to global health response systems.

AI Identifies Heart Valve Disease From Common Imaging Test

“This AI program can augment cardiologists’ evaluation of echocardiograms, images from a screening and diagnostic test that many patients with heart disease symptoms would already be getting,” said David Ouyang, MD, a research scientist in the Smidt Heart Institute, an investigator in the Division of Artificial Intelligence in Medicine and senior author of the study. “By applying AI to echocardiograms, we can help clinicians more easily detect the signs of heart valve disease so that patients get the care they need as soon as possible.”

Is AI in Medicine Playing Fair?

“Our research provides a framework for AI assurance, helping developers and health care institutions design fair and reliable AI tools,” says co-senior author Eyal Klang, MD, Chief of Generative-AI in the Windreich Department of Artificial Intelligence and Human Health at the Icahn School of Medicine at Mount Sinai. “By identifying when AI shifts its recommendations based on background rather than medical need, we inform better model training, prompt design, and oversight. Our rigorous validation process tests AI outputs against clinical standards, incorporating expert feedback to refine performance. This proactive approach not only enhances trust in AI-driven care but also helps shape policies for better health care for all.”

Powerful New Software Platform Could Reshape Biomedical Research by Making Data Analysis More Accessible

A powerful new software platform called the Playbook Workflow Builder is set to transform biomedical research by allowing scientists to conduct complex and customized data analyses without advanced programming skills. An article that describes the new platform was published in the April 3 online issue of the journal PLOS Computational Biology.