Healthcare NLP Blog

In an era where artificial intelligence is reshaping communication, audio deepfakes have emerged as both a groundbreaking innovation and a formidable security threat. Advances in generative AI now enable the...

Testing for Bias of Large Language Models in Clinical Applications

While generative AI models and applications have huge potential across healthcare, their successful deployment requires addressing several ethical, trustworthiness, and safety considerations. These concerns include domain‑specific evaluation, hallucinations, truthfulness and...

Measuring Efficacy of AI Reliability Infrastructure

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,...