Johns Hopkins Symposium Explores Human and AI in Modern Medicine
Johns Hopkins Malone Center for Engineering in Healthcare is holding its 2025 Research Symposium today, titled Human + AI, at the Glass Pavilion on the Homewood campus. The event brings clinicians, engineering researchers, students and industry partners together to discuss how artificial intelligence will be validated, deployed and governed in clinical care, a development with direct implications for Baltimore patients and hospitals.

Johns Hopkins Malone Center for Engineering in Healthcare is hosting its 2025 Research Symposium, Human + AI, Redefining the Standard of Care in Medicine, at the Glass Pavilion on the Homewood campus today. The one day symposium gathers clinicians, engineering researchers, students and industry participants to examine development and deployment of artificial intelligence tools in clinical practice and to accelerate translation of engineering research into patient care.
Morning panels and afternoon breakout discussions present case studies of AI implementation in hospital settings, with a particular emphasis on measures for clinical validation. Sessions examine how algorithms are tested against real world clinical workflows, what metrics signal safe performance and how teams build evidence that can support regulatory review and adoption by health systems. Organizers also foreground ethical and equity concerns, exploring how algorithm design and clinical deployment can avoid reinforcing disparities in access and outcomes.
The symposium offers poster sessions and networking opportunities designed to bridge lab research and frontline medicine. Researchers and clinicians present practical projects aimed at problems common in Baltimore City hospitals, while industry participants identify pathways for pilot programs and scaled deployment. Johns Hopkins is livestreaming the event to extend access to clinicians and students who cannot attend in person.

For Baltimore residents the symposium matters because it shapes how new tools move from prototype to bedside. Artificial intelligence promises faster diagnostics and more personalized treatment plans, but the symposium underscores that clinical validation, oversight and attention to equity are required before benefits reach patients. Cross disciplinary collaboration between engineers, clinicians and community representatives is portrayed as essential to ensure tools are tested in diverse local populations and integrated into existing care systems without widening gaps.
By convening multiple stakeholders in one place the Malone Center aims to speed responsible adoption of clinically relevant engineering research. The outcomes of discussions and poster work presented today will influence pilot projects and academic clinical collaborations that could change how care is delivered in Baltimore hospitals over the coming years.


