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DTSTAMP:20250822T115807Z
LOCATION:Room 6.0D13
DTSTART;TZID=Europe/Stockholm:20250617T123000
DTEND;TZID=Europe/Stockholm:20250617T130000
UID:submissions.pasc-conference.org_PASC25_sess143_msa265@linklings.com
SUMMARY:Leveraging Agentic AI for a Scalable Multimodal Medical AI Ecosyst
 em
DESCRIPTION:Lukas Zbinden (NVIDIA Inc.)\n\nThe rapid growth and complexity
  of medical data necessitate innovative initiatives in medical AI, particu
 larly in integrating diverse data types for holistic analysis and robust d
 ecision-making. This talk explores how NVIDIA, through collaborations with
  research institutions and healthcare organizations, is advancing a scalab
 le multimodal medical AI ecosystem. Central to this effort is MONAI Multim
 odal, an open-source framework that integrates agentic AI architectures to
  bridge healthcare data silos. By leveraging autonomous agents for multist
 ep reasoning across modalities, MONAI Multimodal enables seamless diagnost
 ic analysis, combining medical imaging such as CT and MRI with surgical re
 cordings, electronic health records (EHRs), clinical documentation, and ot
 her data streams. Key components include specialized large language models
  (LLMs) and vision-language models (VLMs) tailored for medical application
 s. The ecosystem supports research innovation across radiology, surgery, a
 nd pathology, enhancing clinical collaboration and accelerating the transl
 ation of AI research into clinical practice. This presentation will delve 
 into how NVIDIA's technologies, including MONAI Multimodal, are empowering
  clinicians and researchers to 	develop scalable and reliable AI systems i
 n healthcare.\n\nDomain: Applied Social Sciences and Humanities, Engineeri
 ng, Life Sciences, Computational Methods and Applied Mathematics\n\nSessio
 n Chair: John Anderson Garcia Henao (Balgrist University Hospital, OR-X Tr
 anslational Center for Surgery)\n\n
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