60 - Pocket Radiologist Cardiac Imaging—Top 100 Diagnosis, Brady, Westra, Wickey and Abarra, Softback book & PDA version. - EM|consultedoi:10.1016/j.hlc.2004.12.008Duncan Guy2/58 Cecil Avenue, Castle Hill 2154, NSW 2154, Australia;elsevier...
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CurieENDEX significantly enhances data quality by creating consistent naming conventions, leading to optimized hanging protocols, reduced reporting times, and improved routing accuracy. This solution eliminates the need for manual protocol management, boosting radiologist productivity and overall departmental effi...
The AI algorithms at Viz.ai analyze CT scans in real time, detecting potential blockages in the brain’s blood arteries. The app then sends an automated alert to the stroke team, which includes a neurologist and an interventional radiologist, so that they may study the CT scan and decide o...
health plans can integrate the system with their existing one and provide them with the analytics capabilities they need to meet stakeholder needs. The use of AI algorithms can help identify meaningful trends in health at an early stage. For example, a radiologist could be able to improve their...
This is one of the few viewers that is compatible with Windows, Mac OS X, and Linux. It is an open source project that supports PACS. It has all the standard DICOM tools, but not many of the advanced tools required in medical diagnosis and research. The Pro version has advanced features...
“In clinical settings where a radiologist is not readily available, detection [of pneumothorax] would be of value to non-radiologists,” ACR DSI points out. Artificial intelligence may be able to help prioritize the type and severity of pneumothoraces, which may change the urgency ...
The idea of contributions from AI is to provide an auxiliary first-line tool so that radiologist specialists have a starting point for the diagnosis of each patient [14,15,16,17]. Efforts have been made in this field over the past decades, mainly with the implementation of machine learning ...