Google's AI research in healthcare has led to the development of medical large language models (LLMs) like Med-PaLM and Med-PaLM 2.

These models are designed to provide high-quality answers to medical questions, showing significant improvements in USMLE-style questions and consumer queries.

Google is also focusing on AI applications in ultrasound image interpretation for maternal care and early disease detection, including partnerships like Jacaranda Health in Kenya.

A collaboration with Mayo Clinic is exploring AI enhancements in radiotherapy planning, specifically improving the accuracy and efficiency of contouring CT scans.

Google's AI is addressing global health challenges such as tuberculosis (TB) with AI-powered chest x-ray screening to provide cost-effective and early disease detection.

Overall, Google's AI advancements in healthcare are improving medical care, treatment planning, and addressing global health challenges, making healthcare more accurate, efficient, and accessible.