Deep learning has already revolutionized the field of computer vision, making practical, in-your-pocket technologies out of what seemed like science fiction just a few years ago. If these new computer vision systems can reach human-level accuracy in identifying dog breeds or cars, we asked ourselves, might those same systems be capable of learning to identify disease in medical images? Over the last few years, we’ve been working with doctors and clinicians to explore this question, and our research has shown that this is indeed possible — and not just in some far off future, but today. Two of the areas we’re most excited about and where we’ve made the most progress in research to date are ophthalmology and digital pathology.
We think that AI is poised to transform medicine, delivering new, assistive technologies that will empower doctors to better serve their patients. Machine learning has dozens of possible application areas, but healthcare stands out as a remarkable opportunity to benefit people — and working closely with clinicians and medical providers, we’re developing tools that we hope will dramatically improve the availability and accuracy of medical services.