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Medical AI Applications Blog

Case Studies and Lessons Learned from Applying AI in Healthcare and Pharma.

John Snow Labs’ small medical Language model (MedS) outperformed GPT-4o in factuality (by 5–10%), clinical relevance, and conciseness across tasks like summarization, information extraction, and biomedical Q/A, showcasing the impact...
Applications of Generative AI in healthcare

Generative AI in healthcare is a transformative technology that utilizes advanced algorithms to synthesize and analyze medical data, facilitating personalized and efficient patient care. In healthcare, Generative AI has shown...

Healthcare-specific language models, like the JSL-MedS-NER family, are designed to extract clinical entities from unstructured medical text. These models can identify key information such as clinical terms, drugs, side effect,...

Literature reviews are a critical component of evidence-based medicine, serving as a structured approach to addressing clinical questions by systematically analyzing the breadth of published academic literature. However, traditional methods...

This talk draws from the paper “LLMs Will Always Hallucinate, and We Need to Live With This” and presents a critical analysis of hallucinations in large language models (LLMs), arguing...