Open Heart

Development and validation of a deep learning model for severe mitral stenosis detection from chest X-rays

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...
Tech Xplore

Helping AI agents search to get the best results out of large language models

Whether you're a scientist brainstorming research ideas or a CEO hoping to automate a task in human resources or finance, you'll find that artificial intelligence (AI) tools are becoming the ...
Tech Xplore

New computer vision method links photos to floor plans with pixel-level accuracy

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A ...
Microsoft

Rethinking Machine Learning Collective Communication as a Multi Commodity Flow problem

Cloud operators utilize collective communication optimizers to enhance the efficiency of the single-tenant, centrally managed training clusters they manage. However, current optimizers struggle to ...
IEEE

Analysis & Modeling of Deep Learning Techniques for Flowchart to Code Generation

Abstract: This research basically explores the analysis and modelling of deep learning techniques. Advanced AI is being integrated and to automate the flowchart-to-code generation process, vision ...
Frontiers

The critical role of inflammation in osteoporosis prediction unveiled by a machine learning framework integrating multi-source data

Objective: Osteoporosis poses a major global public health challenge. The limitations of current diagnostic methods, primarily diagnostic delays in bone density testing, are compounded by the ...
IEEE

Wi-Fi Sensing Based on Deep Supervised Dictionary Learning for Robust Device-Free Localization

Abstract: Device-free localization (DFL) represents an emerging technology in autonomous driving assistance systems, sensing targets around a vehicle without requiring them carrying any devices.
Scientific Research Publishing

Zhou, C., Wang, Y., Xue, Q., Yang, J. and Zhu, Y. (2023) Predicting Early Postoperative PONV Using Multiple Machine-Learning-and Deep-Learning-Algorithms. BMC Medical Research ...

ABSTRACT: Postoperative nausea and vomiting (PONV) is a common complication after anesthesia and surgery. Traditional predictive models, such as Apfel scores, rely on linear assumptions and limited ...