Robotic surgery utilizes AI to assist surgeons in performing precise and controlled movements during surgical procedures. Example: Mayo Clinic's da Vinci Surgical System.
Precision medicine uses AI to analyze genetic and molecular data, enabling personalized treatment plans. Example: Microsoft's Project InnerEye for radiotherapy planning.
AI helps manage and analyze EHR data, providing insights into patient care. Example: Massachusetts General Hospital's collaboration with NVIDIA for AI applications in healthcare.
Machine learning predicts behaviors and recommends modifications for health improvement. Example: SkinVision app for early skin cancer detection.
AI accelerates genome sequencing, aiding in identifying genetic variations and developing personalized therapies. Example: MendelScan tool at the Hospital for Sick Children.
AI analyzes medical images for accurate diagnosis, assisting radiologists in detecting abnormalities. Example: UCSF Medical Center's Clinicai for intelligent imaging.
AI enhances cancer research, improving treatment outcomes and prediction. Example: Pfizer's collaboration with IBM Watson for oncology research.
AI aids radiologists in detecting and diagnosing diseases from medical images. Example: Mount Sinai Health System's AI-enabled radiology for COVID-19 detection.
AI optimizes clinical trials by predicting patient eligibility and streamlining data management. Example: Medidata's platform for AI-powered insights and real-time monitoring.
Predictive analytics uses AI to forecast future health events and identify at-risk individuals. Example: Kaiser Permanente's use of predictive analytics for chronic disease prevention.