According to a new study performed at UTHealth Houston, the implementation of artificial intelligence-powered large vessel occlusion (LVO) detection software available for acute stroke triage could help enhance endovascular thrombectomy treatment times.
According to a new study performed by the National Institutes of Health, artificial intelligence (AI) and machine learning (ML) have the potential to effectively detect and diagnose Polycystic Ovary Syndrome (PCOS).
In a significant breakthrough for Parkinson’s disease assessment, researchers at the University of Rochester have developed a remote AI tool that can assess the severity of Parkinson’s disease with just ten taps of the finger.
At University College London (UCL) and Moorfields Eye Hospital, scientists have come up with an artificial intelligence (AI) system that could not just determine sight-threatening eye diseases but also forecast general health, such as stroke, heart attacks, and Parkinson’s disease.
A group of researchers at the Technical University of Munich (TUM) has developed the world's first microrobot ("microbot") capable of navigating within groups of cells and stimulating individual cells.
According to the WHO, colorectal cancer (CRC) is the second biggest cause of cancer-related deaths worldwide.
According to a new study published in Radiology, AI systems for short- and long-term breast cancer risk could result in an improved cancer risk assessment.
Researchers have come up with a deep learning-based model that has the potential to forecast if a patient will require intensive care by examining their CXR images.
A group of researchers from New Jersey examined information about the effect of robotic exoskeleton devices on the recovery of ambulation in people who have had acquired brain injuries, putting forth a systematic framework for the evaluation of such devices that is required for thorough research studies.
Spectral MD Holdings, Ltd. (AIM: SMD), an artificial intelligence (AI) company focused on medical diagnostics for faster and more accurate treatment decisions in wound care, announces that it has received ISO 13485 certification for the manufacture and distribution of its AI-driven DeepView® Wound Imaging System which is designed to provide immediate, accurate, and binary wound treatment assessments for Burn and Diabetic Foot Ulcer (DFU) indications.
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