AI Algorithm Developed by Mount Sinai to Diagnose Sleep Disorder
Mount Sinai has developed an AI algorithm to diagnose REM sleep behavior disorder (RBD) with high accuracy. 💤🤖
March 17, 2025
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Discover the newest research about AI innovations in 🖼️ Computer Vision.
Computer-Assisted Evaluation of Zygomatic Fracture Outcomes: Case Series and Proposal of a Reproducible Workflow.
Computer-assisted surgery improves zygomatic fracture evaluations, enhancing surgical outcomes and planning. 🤖💉 Precision matters in complex cases.
March 16, 2025
Dual-branch dynamic hierarchical U-Net with multi-layer space fusion attention for medical image segmentation.
A recent PubMed article presents D2HU-Net, enhancing medical image segmentation with advanced attention mechanisms. 🩺📊
March 12, 2025
An image-computable model of speeded decision-making.
A new model links visual processing and decision-making. 🧠🔍 It enhances understanding of response times in cognitive tasks.
March 1, 2025
New Deep Learning Method Enhances Heart Imaging Accessibility
New deep learning method improves heart imaging accessibility, reducing radiation exposure and costs. 🌍❤️
February 27, 2025
Innovative Digital Health Technologies for Brain Health
Digital health technologies are advancing brain health. Tools like wearables, AI, and robotic pets show promise. 🧠🤖
February 14, 2025
AI Model Developed to Support Underserved Hospitals
AI model “BioMedGPT” aims to assist underserved hospitals by improving diagnostic accuracy and streamlining workflows. 🤖🏥
February 13, 2025
A robust deep learning framework for multiclass skin cancer classification.
A new deep learning model enhances skin cancer classification accuracy. 🤖📈 Early diagnosis is crucial for effective treatment.
February 12, 2025
Comparative performance of multiple ensemble learning models for preoperative prediction of tumor deposits in rectal cancer based on MR imaging.
Ensemble learning models show promise in predicting tumor deposits in rectal cancer. 🩺📊 VELM outperforms others with an AUC of 0.875.
February 10, 2025
A comprehensive analysis of deep learning and transfer learning techniques for skin cancer classification.
Deep learning techniques show promise in skin cancer classification. 🩺 This study highlights effective methods for accurate diagnosis. 📊
February 8, 2025