While generative AI models and applications have huge potential across healthcare, their successful deployment requires addressing several ethical, trustworthiness, and safety considerations. These concerns include domain‑specific evaluation, hallucinations, truthfulness and...
This is a deep dive into benchmarking methodologies for medical LLM and NLP models comparing accuracy, reliability, and applicability across Azure Health AI, AWS Comprehend Medical, GCP Healthcare Natural Language API,...
In clinical trials, patient engagement is a critical factor that influences recruitment, retention, and overall success. However, generic, one‑size‑fits‑all approaches often fail to meet the diverse needs of participants. This talk...
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