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11h
KTALnews.com on MSNLSU Shreveport students shine with AI model for spine analysisA team of students from the LSU Shreveport Artificial Intelligence and Machine Learning Lab won first place at the national ...
Intuitive Surgical, an American biotechnology company, introduced DaVinci surgical robots in the late 1990s, and they became ...
Artificial intelligence and machine learning are transforming acute respiratory distress syndrome (ARDS) management, enabling ...
We review literature in top journals and conferences on the usage of deep learning for medical image analysis in modern healthcare. As a result it is shown that deep learning offers unique ...
In this systematic review, we have sought to critically appraise the current state of diagnostic performance by deep learning algorithms for medical imaging compared with health-care professionals, ...
Researchers from Aarhus University—in a major international collaboration—have developed a groundbreaking method that can ...
AI offers promise in the realm of chronic disease management, including diabetes, obesity, and PCOS, but must be approached with caution.
Under the business model Fujitsu Uvance, Fujitsu is building an ecosystem of Uvance Partners that will apply data and AI towards the resolution of social issues. Through co-creation with these ...
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Asian News International on MSNIndia's Ayush innovations featured in WHO's landmark brief on AI in traditional medicineIn a significant milestone for global healthcare innovation, the World Health Organization (WHO) has released a technical ...
Introduction to Computer Vision in HealthcareLet’s face it—healthcare can be slow, expensive, and prone to human error. But what if a camera and some smart algorithms could help change that? That's ...
Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p
This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
Deep-learning ... algorithms will shift medical imaging from pattern recognition to quantitative, predictive precision. Radiologists who embrace this partnership won’t be sidelined. Instead, they’ll ...
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