Implemented AI-powered diagnostic support system for a network of 50+ hospitals.
Results:
- 35% improvement in diagnostic accuracy
- 50% reduction in diagnosis time
- 25% decrease in medical errors
- $8M annual cost savings
"This system has significantly improved our diagnostic capabilities and patient outcomes."