Academic Research

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.

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.

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?

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.

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.

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.

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.

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.