Priority Work List could enhance analysis and reduce false negatives.
Cloud-based software solution company Emergent Connect, LLC, has launched Priority Work List, an artificial intelligence (AI)-driven addition to its existing radiology workflow tools.
As a completely cloud-based platform, Priority Work List offers radiologists a variety of AI algorithms approved by the U.S. Food and Drug Administration and deep learning that can read images captured on several modalities. The algorithms have been trained on thousands of images from Emergent Connect’s databases.
According to company information, the Work List helps prioritize the workflow to reduce cost and turnaround times to below 60 minutes, as well as, enhance analysis and, potentially, eliminate false negatives. The intent, based on a company statement, is to identify, diagnose, create a prognosis, and suggest possible treatments.
New Study Examines Short-Term Consistency of Large Language Models in Radiology
November 22nd 2024While GPT-4 demonstrated higher overall accuracy than other large language models in answering ACR Diagnostic in Training Exam multiple-choice questions, researchers noted an eight percent decrease in GPT-4’s accuracy rate from the first month to the third month of the study.
FDA Clears AI-Powered Ultrasound Software for Cardiac Amyloidosis Detection
November 20th 2024The AI-enabled EchoGo® Amyloidosis software for echocardiography has reportedly demonstrated an 84.5 percent sensitivity rate for diagnosing cardiac amyloidosis in heart failure patients 65 years of age and older.
The Reading Room: Artificial Intelligence: What RSNA 2020 Offered, and What 2021 Could Bring
December 5th 2020Nina Kottler, M.D., chief medical officer of AI at Radiology Partners, discusses, during RSNA 2020, what new developments the annual meeting provided about these technologies, sessions to access, and what to expect in the coming year.
FDA Clears Updated AI Platform for Digital Breast Tomosynthesis
November 12th 2024Employing advanced deep learning convolutional neural networks, ProFound Detection Version 4.0 reportedly offers a 50 percent improvement in detecting cancer in dense breasts in comparison to the previous version of the software.