Rick Stevens, CTO at Vispa, joined us to discuss the current trends in Revenue Cycle Management (RCM) and emphasized the need to distinguish between automation and true AI. While automation is important, Rick highlights…
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Duct-dependent congenital heart diseases (CHDs) are a serious form of CHD with a low detection rate, especially in underdeveloped countries and areas. Although existing studies have developed models for fetal heart structure identification, there…
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In a world where technology has become an integral part of our lives, it's no surprise that the healthcare industry is also embracing digital transformation.Electronic medical records, clinical decision support systems, and other technological…
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Emory University researchers have unveiled a groundbreaking deep-learning model that utilizes routine chest x-rays and electronic health records to predict early signs of diabetes, even in patients not meeting conventional risk criteria. The AI-driven…
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GigXR and DICOM Director have introduced the DICOM XR Library, utilizing hyper-realistic 3D medical images from MRI and CT scans. This collaboration enhances medical education, enabling holographic anatomy and pathophysiology learning. Learners can explore…
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By Shania Kennedy
August 08, 2023 – Researchers at Emory University have validated a deep learning (DL) model capable of detecting early warning signs of diabetes using routinely collected chest radiographs and electronic health record data…
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Cleveland Clinic has tapped Albert Marinez for its newly created chief analytics officer because of his success driving analytics strategy for large health systems and technology service providers over two decades, leaders say. WHY IT…
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Researchers at the Institute of Science and Technology Austria have developed a brain imaging technique called Live Information Optimized Nanoscopy Enabling Saturated Segmentation (LIONESS). The method lets the researchers create high-resolution 3D images of…
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The evolution of clinical trials shows that although much has changed, several things remain the same. When a patient expresses interest in a trial, they complete an informed consent process, and complete a series…
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Machine learning-based algorithms can now be used to help detect atrial fibrillation, asymptomatic left ventricular systolic dysfunction, and cardiac amyloidosis. Even more digital diagnostic tools are on the drawing board.
By John Halamka, M.D., President,…
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