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Medical AI Applications Blog

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

Recruiting patients for clinical trials is a major challenge in drug development. Finding patients requires an in-depth understanding of their medical histories and current health statuses while the majority of patient...

The Khuluma project was carried out to enhance positive mental health amongst HIV-positive adolescents in South Africa, with the aim of reducing and ultimately preventing the spread of HIV & AIDS....

Spark NLP for Healthcare was used to provide accurate, scalable, and healthcare-specific pipelines for OCR, sentence segmentation, spell checking, biomedical named entity recognition, assertion status (negation) detection, and entity resolution (to...

Providers are overwhelmed with hospital utilization management and prior authorization documentation requirements with the volume of reviews. While the EHR holds a wealth of information, it requires the utilization manager...

Achieving accuracy in NLP is an art and a science. Learn how MetiStream and John Snow Labs worked in collaboration to build and implement models, best practices, and processes to...