Tag archive
Hello DEV Community! 👋 Today, I want to share the architectural journey of Maliklang-V2, a highly...
What building a medical transcription pipeline taught me about the difference between a model being...
Key Takeaways A “council” of five GPT-4 models achieved 97% accuracy on USMLE Step 1 in an October...
Explore how Documedic optimizes clinical document extraction, LLM connection pooling, and multi-agent fault isolation for medical AI.
7 AI tools actively saving lives in hospitals and clinics in 2026. Real deployments, real outcomes, and the doctors who trust them with patient care.
What Changed The development of multimodal foundation models in medicine has been...
Originally published at norvik.tech Introduction Explore how software engineers can...
Previous article: How Auditing 10 Bio-AI Repositories Shaped STEM-AI In the first STEM-AI...
Originally published at norvik.tech Introduction Explore the implications of Nvidia’s...
Lunit (KOSDAQ: 328130), South Korea's leading medical AI company, enters the final stretch of its...
Reading path: This post is part of a series. (1) STEM-AI introduction — what the framework is and...
Technical Reconstruction of Biased Automated Labels in Medical AI Impact Chains:...