Radiology in HealthCare
Jagruti Oza • April 30, 2025
AI Imaging detects higher abnormality rates and lower false positives versus doctors
Aidoc - FDA cleared, AI software prioiritizes cases requiring urgent attention, improves workflow efficiency and outcomes at:
- Cedars-Sinai Medical Center - Streamlined imaging workflows reduced the time from scan to diagnosis for improved outcomes
- Radiology Partners - Deployed across ~20 million patients for faster diagnoses for intracranial hemorrhage, pulmonary embolism and fractures
Courtesy of Getty Images
NLP AI: Predictive analysis and disease identification from EMR medical notes Mayo Clinic - AI/NLP interprets vast amounts of unstructured EMR medical notes Postoperative Complication Prediction - Pre and Post-operative clinical notes identified high risk patients for infections and hemorrhage for timely prevention Identification of Undiagnosed Conditions - Clinical note scans identified potential undiagnosed conditions, such as hypertension or diabetes, for proactive care management
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