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AI in Healthcare Blog

Ideas, Risks, and Breakthroughs in Improving Healthcare with AI.

Designed from day one for secondary use of multimodal, longitudinal patient data, PJI embeds regulatory-grade governance and transparency into every patient journey. John Snow Labs, a healthcare AI company, today...

Oncology has always depended on multidisciplinary tumor boards (MTBs) to interpret complex, multimodal data, such as pathology reports, radiology findings, genomic profiles, prior treatments, patient history, and synthesize this information...

In our previous article, JSL Vision: State-of-the-Art Document Understanding on Your Hardware, we benchmarked JSL Vision against leading open-source vision-language models on FUNSD and OmniOCR In this follow-up, we address...

When Guidelines Central partnered with John Snow Labs to match patients with clinical guidelines from 35+ medical societies, the technical challenge was not generating recommendations. Large language models can produce...

When GE Healthcare's EDISON platform needed to transform radiology report processing for pharmaceutical partners, the engineering challenge extended far beyond extracting clinical findings from unstructured text. The real problem emerged...