Researchers at the University of Virginia Health have created a potent new risk assessment tool that can be used to forecast outcomes when patients have heart failure. The researchers have made the tool accessible to clinicians.
The researchers introduce the ROSMA dataset and methodology in Applied Sciences, facilitating instrument detection and gesture segmentation in robotic surgical tasks. Through manual annotations and a neural network model combining YOLOv4 and LSTM, they achieve high accuracy and generalization capabilities, offering potential applications in surgical data science and beyond.
Richtech Robotics Inc., a Nevada company and a provider of AI-driven service robots, today announces the launch of its latest robot: Medbot, an elevator delivery robot designed to streamline pharmacy operations with uninterrupted, 24/7 medications delivery.
Researchers introduced a two-finger haptic robotic hand capable of manipulating objects with diverse stiffness levels and shapes. Utilizing force sensors and an impedance control algorithm, the hand demonstrated precise grasping and lifting abilities without causing damage or slippage.
ThePause.ai, a trailblazing health tech startup dedicated to transforming the landscape of women's health, proudly announces its acceptance into the HPE Diversity Startup Program developed in collaboration with Alpha3 Cloud and committed to providing equitable access to the HPE GreenLake edge-to-cloud platform for women-owned and minority-owned startups.
Researchers introduced a novel approach to signer-independent sign language recognition (SLR) using Neutrosophic hidden Markov models (NHMM). By addressing the challenges of variability and uncertainty inherent in sign gestures, the proposed NHMM system achieved a remarkable gesture recognition rate of 98.5%, outperforming traditional methods.
In the journal Nature Biotechnology, scientists at Ludwig Cancer Research reported the development of an AI model to identify the most effective immune cells for cancer immunotherapy.
Researchers introduce a groundbreaking approach, leveraging deep learning and active learning techniques, to automate the measurement of abdominal aortic aneurysms (AAA) from computed tomography (CT) scans. This innovative workflow accurately segments AAA structures and provides automated measurements crucial for endovascular aneurysm repair (EVAR) planning, offering efficiency and precision in diagnosis and treatment.
Researchers at the University of California, San Diego have created a machine-learning system that mimics the laborious chemistry required in the initial stages of drug discovery.
Scientists from the Genome Institute of Singapore (GIS) and Bioinformatics Institute (BII) at A*STAR have created a new artificial intelligence (AI) software tool dubbed "BANKSY" that can recognize different cell types found in tissues, including fat, muscle, and nerve cells. This research was published in the journal Nature.
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