The article discusses a study conducted by Google Research in collaboration with Google DeepMind, which expanded the capabilities of its AI models for medical imaging interpretation, genomics predictions, and health outcome forecasting. The study showcased the improved performance of the AI models Med-Gemini-2D, Med-Gemini-3D, and Med-Gemini-Polygenic in various medical tasks compared to previous benchmarks.
Highlights of the article:
1. Google’s AI models, especially Med-Gemini-2D, surpassed previous results in AI-enabled report generation for chest X-rays and chest X-ray visual question-answering.
2. The study revealed advancements in AI models in tasks such as chest X-ray classification, radiology visual question-answering, ophthalmology, histopathology, and dermatology.
3. Med-Gemini-3D was able to read and interpret 3D medical scans, like CTs, but future research is needed to enhance the quality of generated reports for clinical acceptability.
Summary:
Google Research, in collaboration with Google DeepMind, presented a study on the enhanced capabilities of its AI models for medical imaging interpretation and genomics-based health outcome predictions. The research demonstrated improved performance in various medical tasks, marking a progression towards integrated AI systems for complex clinical tasks alongside human professionals.
Editorial content by Sawyer Brooks
