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TZID:America/New_York
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DTSTART:20241103T020000
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DESCRIPTION:Abstract: Multimodal large language models (MLLMs) have shown 
 promising performance on dermatology benchmark datasets\, but their abili
 ty to support real-world clinical decision-making remains unclear. In thi
 s seminar\, I will present findings from a large-scale evaluation of MLLM
 s across both public dermatology benchmarks and a multi-site hospital der
 matology consultation cohort comprising. I will discuss model performance
  for differential diagnosis generation and urgent dermatology triage\, th
 e impact of clinical context on diagnostic accuracy\, and key limitations
  related to visual grounding and context integration. These results highl
 ight the importance of realistic evaluation frameworks for assessing the 
 clinical readiness of AI systems in dermatology.\n\nSpeaker:\nRuoyi Jiang
 \n\nAdmission:\nFree\n\nFood:\nSnacks\n\nDetails URL:\nhttps://medicine.y
 ale.edu/event/ai-frontiers-6-8/\n
DTEND;TZID=America/New_York:20260608T170000
DTSTAMP:20260610T030345Z
DTSTART;TZID=America/New_York:20260608T160000
LOCATION:Join our mailing list to receive Zoom Link & Passcode: https://ma
 ilman.yale.edu/mailman/listinfo/nlp-llm-ig
SEQUENCE:0
STATUS:Confirmed
SUMMARY:🤖 AI Frontiers: Hosted by NLP/LLM Interest Group
UID:272b3432-666a-4649-93eb-f74669bd0330
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