This study proposes a semi-weakly supervised learning approach for pulmonary embolism (PE) detection on CT pulmonary angiography (CTPA) to alleviate the resource-intensive burden of exhaustive medical image annotation. Attention-based CNN-RNN models were trained on…
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What You Should Know:
– A team of researchers at the intersection of medicine and technology has harnessed the power of artificial intelligence (AI) and NVIDIA GPUs to develop a new…
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Estimating progression of acute ischemic brain lesions – or biological lesion age – holds huge practical importance for hyperacute stroke management. The current best method for determining lesion age from non-contrast computerised tomography (NCCT),…
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UnitedHealthcare CEO Brian Thompson
Photo: Courtesy UnitedHealth Group
Walking toward the New York Hilton Hotel in Midtown Manhattan this morning, UnitedHealthcare CEO Brian Thompson was fatally shot in what law enforcement officers have called a targeted…
Ex vivo lung perfusion (EVLP) enables advanced assessment of human lungs for transplant suitability. We developed a convolutional neural network (CNN)-based approach to analyze the largest cohort of isolated lung radiographs to date. CNNs…
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By Shania Kennedy
April 02, 2024 – A research team from Arizona State University has developed a machine learning (ML) model capable of predicting whether a patient’s immune system will recognize pathogens and other foreign cells,…
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Canon Medical Components USA presents a groundbreaking white paper, “Intelligent Noise Reduction: Seeing Through the Noise with Deep Learning Image Processing.” It explores Canon DR’s convolution neural network (CNN)-based approach, significantly reducing image noise…
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Dive into the latest innovations shaping the future of healthcare in our October Digital Health Digest. From AI’s expanding role in patient care to pioneering investments that could redefine health service delivery, we’re…
The following is a guest article by Mariia Kovalova, Healthcare Technology Researcher at Itransition
Medical imaging is crucial for various medical applications, serving diagnostic and treatment purposes. According to Grand View Research, the medical image…
