Instant medical assistance with AI
Healthcare
82% accuracy.
According to a 2019 study in the Journal ,machine learning algorithms predicted patient deterioration within 24 hours
By American Medical Association
$150 billion
AI applications in healthcare administration could save up to $150 billion annually worldwide by 2026.
By Accenture
56%
expressing interest. A study published found that patients were open to using AI-driven virtual assistants for health-related queries.
By Medical Internet Research
30-40%
AI reduced drug discovery times
By MIT Sloan Management
Key Issues
- delays in disease detection
- ineffective AMR detection
- lack of patient engagement
- lack of speed of X-ray report generation
- Risks of heart diseases.
- · Inaccurate reports