- Emergency CareA collegial merger with another regional practice in 2013, taking CRA to a 42-physician member group covering multiple hospital systems, offices, and urgent care facilities across the state heavily influenced the decision to pursue a comprehensive technology solution.
- MRIMachine learning means a computer improves its performance on future tasks based on information from past tasks. Essentially, computers learn from data accumulation. Machine learning algorithms evolve with increasing exposure to data. Computers learn from examples to understand, interpret and label diagnostic images. Complex patterns can be identified by machines and aid radiologists in evaluating data reports from CT, MRI and PET images.
- RadiologyConfessions of a Top 100 Radiology Group – How Carolina Radiology Associates Transitioned from Chaos to Consolidation by Implementing a Unified Radiology Platform
- X-Rays
- Nuclear Medicine
- Mammography"The conference was very well done, the attendee list was broad enough to gain perspectives yet not overwhelmingly large, and the venue was fantastic." - Guhan Raghu, Chief Information Officer, Solis Mammography
- Computed TomographyUsing AI-based applications, physicians can make alternative diagnoses or see anatomical structures much sharper and finer than with previous technologies. Having AI workflows in place, radiologists are free to focus on expertise-based tasks like more personalized care or complex patient conditions. For example, it can take a doctor many hours to help a patient with chest pain—from sorting through the patient’s medical history and medications to the CT scans, labs, etc. AI programs can suggest possible diagnoses in minutes.