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Multimodal AI Blog

Build AI Models That Learn from Text, Images, and Audio Together.

Introduction Oncology data is inherently complex, dispersed, and often unstructured. Extracting actionable insights from Electronic Health Records (EHRs) and other clinical data sources poses a significant challenge for healthcare professionals....

Over the past few years, there’s been a quiet revolution in healthcare AI. The buzz around large language models (LLMs) has pushed them into the limelight, capturing imaginations with their...

In the early spring of 2023, a mid-sized health system on the West Coast faced a pivotal decision. The CIO, Maria, had just returned from a conference buzzing with excitement...

The healthcare industry faces a growing challenge in handling prior authorization denials, which cost the U.S. healthcare system approximately $31 billion annually1. These denials lead to significant revenue loss for...

Introduction In today’s fast-paced healthcare environment, clinicians face a mounting challenge: balancing patient care with the overwhelming administrative tasks of documentation. SOAP notes, a standardized method developed by Dr. Lawrence...