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42 articles
US public health agencies will test OpenAI and Anthropic AI models through a new program called PULSE, aiming to enhance public health outcomes through real-world applications.
French startup Raidium has launched its AI-native radiology platform in the U.S. at Moffitt Cancer Center, marking a significant step toward AI-first medical imaging solutions.
This article explains the concept of AI governance in healthcare and why Europe's lack of health-specific AI strategies poses significant risks to patient safety and global health equity.
Neko Health raises $700M in Series C funding, valuing the company at nearly $7 billion, and prepares to expand into New York with support from high-profile investors.
Learn how artificial intelligence is revolutionizing drug discovery by helping scientists find new medicines faster and more efficiently than ever before.
AWS and Bluesight have developed an AI solution, Prism, to help hospitals manage 340B compliance. The system integrates pharmacy and compliance data, and is now generally available across 20 health systems.
Utah has become the first U.S. state to allow an AI chatbot to renew prescriptions without a doctor, sparking a heated debate over patient safety and regulatory oversight.
Marc Andreessen claims ChatGPT outperforms 99% of doctors, but medical experts and research disagree with the bold assertion.
Learn how artificial intelligence is rapidly becoming a trusted tool for health information, with 61% of Americans now using it compared to just 2% in 2024. Discover why people trust AI more in secure doctor portals than public chatbots.
Entrepreneur Connor Christou used AI to manage his cancer treatment by feeding his medical data into Claude, an AI assistant. His approach demonstrates the growing trend of using artificial intelligence for personal health management.
Midjourney, known for its AI image generator, has announced a radical pivot to medical imaging with a futuristic water-based ultrasound scanner. Industry experts are skeptical about the device's practicality and safety, questioning whether it can deliver the diagnostic accuracy needed for medical use.
Learn how to build a basic AI diagnostic system using Python and machine learning, similar to systems that have matched or beaten doctors in medical diagnosis studies.
