Early identification of atrial fibrillation (AF) can reduce the risk of stroke, heart failure, and other serious cardiovascular outcomes. However, paroxysmal AF may not be detected even after a two-week continuous monitoring period. We…
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The UEF Cancer AI team launched a challenge for estimating breast density from mammograms. Addressing limitations in existing tools, the challenge seeks innovative deep-learning architectures. Participants work with a dataset of 569 mammogram images,…
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By Shania Kennedy
December 11, 2023 – Researchers have developed a deep neural network-based model to predict the most successful antihypertensive treatment for an individual, according to a study published recently in Mayo Clinic Proceedings: Digital…
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By Shania Kennedy
December 05, 2023 – A deep learning model can accurately identify non-smokers at high risk for lung cancer using only routine chest X-rays, according to research presented at this year’s meeting of the…
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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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Machine learning and deep learning are two subsets of artificial intelligence that involve teaching computers to learn and make decisions from any sort of data. Most recent developments in artificial intelligence are coming from…
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What You Should Know:
– CodaMetrix has partnered with GE HealthCare to bring its AI-powered automated coding solution, CMX Automate, to GE HealthCare customers.
– This will enable GE HealthCare customers to benefit from CMX Automate’s…
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What You Should Know:
– iCardio.ai, a developer of deep learning algorithms for ultrasound images, has joined Butterfly Garden, an AI Marketplace by Butterfly Network.
– The agreement aims to integrate iCardio.ai’s suite of cardiac ultrasound…
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Pioneering research highlights AI’s proficiency in diagnosing heart valve disease and predicting cardiovascular risks with notable accuracy. One study validates an AI-enabled digital stethoscope’s superiority over traditional methods, achieving a 94.1% detection rate. Another…
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By Shania Kennedy
November 06, 2023 – Artificial intelligence (AI) and deep learning tools may be capable of accurately detecting heart valve disease and predicting the risk of cardiovascular disease events, according to two preliminary research…
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