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...
AI and natural language processing (NLP) are transforming how adverse events are identified from call center audio. These conversations are a rich source of patient and provider insights but have...
Organizations that develop or deploy Generative AI solutions in healthcare are subject to more than 70 national and state laws, regulatory rules, and industry standards. Once an organization establishes an...
Medicare plan selection is a complex and critical decision for seniors, requiring an intricate balance of cost, coverage, convenience, and personal preferences. We propose a novel system leveraging Adversarial‑Cooperative Large Language Models...
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