In all, per the report, AI applications represent potential annual cost savings of $150 billion for the U.S. healthcare industry by 2026. Here are the applications with the most significant near-term impact, and their potential yearly savings:
1. Robot-assisted surgery: $40 billion
2. Virtual nursing assistants: $20 billion
3. Administrative workflow assistance: $18 billion
4. Fraud detection: $17 billion
5. Dosage error reduction: $16 billion
6. Connected machines: $14 billion
7. Clinical trial participant identifier: $13 billion
8. Preliminary diagnosis: $5 billion
9. Automated image diagnosis: $3 billion
10. Cybersecurity: $2 billion
View the full report here.
More articles on AI:
Physicians see 25% of their work being automated in the future, survey finds
Crouse Health deploys AI-enabled stroke detection
Former Goldman Sachs CIO joins Memorial Sloan Kettering spinoff: 4 things to know