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.
Researchers introduced a cable-driven robotic platform capable of facilitating six-degrees-of-freedom (6-DoF) natural head-neck movements without imposing rigid kinematic constraints. Through optimization and validation, the device demonstrated promising applications in rehabilitation, sports training, occupational therapy, and beyond, offering a versatile solution for enhancing human mobility and function.
Abstracts being presented at the American Urological Association's Annual Meeting discuss an AI chatbot created by urologists that provides accurate urologic information to patients and a series of algorithms developed to accurately predict a urine culture's sensitivity to antibiotics up to three days prior to culture results.
RenovaroCube, wholly owned subsidiary of Renovaro, Inc., a company at the forefront of AI-driven healthcare innovation, proudly unveils Flamingo, a potentially groundbreaking multi-cancer detection model contributing to ...
Fight Colorectal Cancer (Fight CRC), a leading advocacy organization dedicated to supporting colorectal cancer patients and caregivers, is proud to announce the launch of ChatCRC, the first-ever AI-powered chatbot designed to deliver accurate, accessible, and user-specific information related to colorectal cancer prevention, diagnosis, treatment, and care management.
Ear disorders known as cholesteatomas, abnormal skin growths in the middle ear, can be difficult to diagnose accurately, and there are times where incorrect diagnoses are given to patients.
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