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TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
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DTSTART:19700308T020000
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DTSTART:19701101T020000
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DTSTAMP:20250822T115805Z
LOCATION:Room 6.0D13
DTSTART;TZID=Europe/Stockholm:20250617T113000
DTEND;TZID=Europe/Stockholm:20250617T133000
UID:submissions.pasc-conference.org_PASC25_sess143@linklings.com
SUMMARY:MS3D - Advancing Medical AI: From Task-Specific Models to Reliable
  and Scalable Clinical AI Agents
DESCRIPTION:The minisymposium "Advancing Medical AI: From Task-Specific Mo
 dels to Scalable and Reliable Clinical AI Agents" brings together global e
 xperts to address key challenges and opportunities in medical AI. While ta
 sk-specific models have driven advancements in pathology classification, i
 mage segmentation, and report generation, their limited adaptability and r
 easoning capabilities hinder broader clinical integration. This symposium 
 explores how Large Language Models (LLMs) and Large Multimodal Models (LMM
 s) are redefining medical AI with multitask flexibility, multimodal data f
 usion, and scalable, transparent solutions. Speakers will discuss state-of
 -the-art systems like MEDITRON-70B, Med-Flamingo, MAIRA-2, and MMedAgent, 
 which extend LLMs for tasks including disease detection, organ classificat
 ion, and grounded diagnostics. Key themes include integrating biomedical k
 nowledge into workflows, combining diverse data streams for holistic analy
 sis, and optimizing models for real-world deployment in hospital infrastru
 cture. The event emphasizes privacy-preserving frameworks, open-weight mod
 els, and inclusive AI systems that foster global accessibility. Through a 
 multidisciplinary approach, the symposium aims to advance reliable, scalab
 le, and equitable AI solutions for healthcare, highlighting innovations th
 at address critical clinical needs while empowering diverse research commu
 nities worldwide.\n\nChallenges in Integrating Computing-Based Solutions i
 n Translational Biomedicine\n\nIntegrating computing-based solutions into 
 translational biomedicine presents significant challenges, particularly in
  healthcare institutions underlying technical infrastructure and the adapt
 ation of these solutions. Many facilities, especially in remote areas, lac
 k infrastructure such as computing ...\n\n\nHugo Hernandez (spinTwo)\n----
 -----------------\nLeveraging Agentic AI for a Scalable Multimodal Medical
  AI Ecosystem\n\nThe rapid growth and complexity of medical data necessita
 te innovative initiatives in medical AI, particularly in integrating diver
 se data types for holistic analysis and robust decision-making. This talk 
 explores how NVIDIA, through collaborations with research institutions and
  healthcare organizat...\n\n\nLukas Zbinden (NVIDIA Inc.)\n---------------
 ------\nDiscussion Panel: Building the Bridge to Translational Medicine\n\
 nAdvanced AI systems like LLMs and LMMs are transforming medical applicati
 ons, but face adoption barriers in clinical settings. This panel will disc
 uss the challenges and solutions to develop reliable, multitask clinical A
 I agents and integrating them into hospital infrastructure.\n\nDiscussion 
 Points:...\n\n\nJohn Garcia-Henao and Sebastiano Caprara (Balgrist Univers
 ity Hospital, OR-X Translational Center for Surgery)\n--------------------
 -\nLLMs Accelerating the Translation of Evidence into Personalised Decisio
 ns\n\nEvidence from randomised controlled trials is often reported as aggr
 egate effects, while individual patients may differ from the trial populat
 ion in many ways. Determining the most applicable evidence for a given pat
 ient’s unique characteristics and prior treatments can be challenging. Lar
 ge L...\n\n\nJanna Hastings (University of Zurich, Institute for Implement
 ation Science in Health Care)\n\nDomain: Applied Social Sciences and Human
 ities, Engineering, Life Sciences, Computational Methods and Applied Mathe
 matics\n\nSession Chair: John Anderson Garcia Henao (Balgrist University H
 ospital, OR-X Translational Center for Surgery)
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