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Large language models (LLMs) are rapidly gaining traction as virtual standardized patients (VSPs), enabling medical students and clinicians to practice communication, history-taking, and diagnostic reasoning in an interactive and scalable format. Studies show that learners who use LLMs report enhanced confidence, empathy, and clinical decision-making skills. Its adaptability allows educators to design diverse patient scenarios and provide immediate, personalized feedback. The use of AI tools supports flexible, repetitive practice and self-directed learning, complementing traditional educational methods. As AI continues to advance, LLMs are set to play a pivotal role in making high-quality clinical training more accessible, compassionate, and safe.
From value-based models and telehealth evolution to breakthroughs in genomics, mental health innovation, and cybersecurity, healthcare in 2025 has and is accelerating toward more equitable, data-driven, and patient-centered care. Real-time data and precision insights are transforming prevention and personalization, while technology and policy shifts challenge leaders to uphold equity, privacy, and sustainability. Staying agile amid these forces is essential to shaping a smarter, safer, and more connected health system
At the 2025 World Medical Innovation Forum, 18 faculty innovators from Mass General Brigham took the stage to present breakthrough research in a rapid-fire “First Look” competition. From novel therapies for Rett syndrome to noninvasive prenatal genetic screening, the event spotlighted how AI and genomics are converging to redefine precision medicine. As leaders noted, these advancements represent more than scientific milestones, they’re shaping a future where discovery translates swiftly into transformative patient care.