Problem:
Traditional diagnostic methods for diseases like cancer and diabetic retinopathy had limitations in accuracy and speed. Detecting illnesses at an early stage was often challenging.
AI Solution:
Google Health developed deep learning models to analyze medical images and detect early signs of diseases. These models were trained on vast amounts of patient data, allowing AI to recognize patterns that might be missed by human doctors.
Results:
- AI-assisted diagnoses improved accuracy and efficiency.
- Faster disease detection led to earlier treatments, increasing survival rates.
- Hospitals and clinics worldwide began implementing AI-powered medical imaging to assist healthcare professionals.
