Care of terminally ill / Palliative care

A hierarchical neuromorphic multi agent framework for energy aware and secure 6G resource optimization using Neuro6G agent.

The convergence of Sixth-Generation (6G) wireless networks and neuromorphic computing presents significant opportunities for intelligent, energy-efficient resource management in distributed architectures. This paper introduces Neuro6G-Agent, a hierarchical neuromorphic agentic intelligence framework that integrates Energy-Aware Spiking Neural Networks (EA-SNNs) with multi-agent reinforcement learn...

Radiological staging clinical decision support model for rectal cancer lymph node metastasis detection on MRI.

BACKGROUND: Accurate staging of lymph node metastasis (LNM) is crucial for personalising rectal cancer treatment. Lymph nodes (LNs) are the most common sites of rectal cancer metastasis, and malignant LNs are typically treated with neo-adjuvant radiotherapy or chemoradiotherapy (CRT) to reduce the chance of recurrence and distant metastasis after surgery. Radiological staging criteria, based on LN...

A Variational Mean-Field Control Framework for Graph Representation Learning.

Feature representation learning in graph neural networks (GNNs) is a dynamic process driven by progressive information exchange throughout the graph. ...

Machine Learning Prediction of Growth Hormone Response in Children Non-Growth Hormone-Deficient Short Stature.

Height gain under recombinant human growth hormone (rhGH) varies widely in children with short stature, making early, reliable response prediction ess...

Guideline-Aligned Machine Learning for Predicting Ondansetron Administration at the End of Anaesthesia: Explainable Decision Support for PONV Prophylaxis.

Artificial Intelligence (AI) and Clinical Practice Guidelines (CPGs) both aim to support clinical decision-making but may provide conflicting suggesti...

Progression without progress.

Progress in the use of artificial intelligence (AI) to advance scientific discovery has made it increasingly realistic to envision automated "end-to-e...

Art management platform based on virtual scenes.

This article is based on the form of "VR + Art Platform" and designs an art management platform that integrates display, trading, and socializing. The...

End-user perspectives on the use of personal health information for AI development and the use of AI in care: an interview study.

INTRODUCTION: The rapid advancement of artificial intelligence (AI) in health care necessitates that decision-makers consider end-user views on second...

A non-invasive end-to-end intelligent assistance system for breast ultrasound.

Although artificial intelligence enhances medical image classification to effectively improve lesion diagnosis accuracy and efficiency, it still faces...

Knowledge-prior memory discrimination based generative adversarial network for industrial anomaly detection and localization.

Industrial anomaly detection and localization have become key procedures in modern manufacturing for product quality assurance. However, it is still c...

Empowering precision source apportionment and risk management of microplastics with an optimized fingerprint-receptor model and smart platform.

Accurate source apportionment of sediment microplastics (MPs) is essential for effective ecological risk management. However, conventional receptor mo...

Multimodal Personalized Mobile Health Just-in-Time Adaptive Intervention for Occupational Stress Management: Pilot Study.

BACKGROUND: As digital health solutions gain traction, there is an urgent need for effective, person-centered stress management tools for employees. A...

Interpretable machine learning and signal processing for automated reading and quality control of lateral flow tests for schistosomiasis.

There is a lack of automated pipelines for diagnostic classification of point-of-care tests for neglected tropical diseases. Here, we present an end-t...

Generative artificial intelligence for inpatient documentation summarization: mixed-methods quality assessment and early real-world experience.

OBJECTIVE: We evaluated the quality and adoption of a large language model (LLM)-based summarization tool for ongoing hospital care. MATERIALS AND MET...

Research on the efficacy of hybrid deep learning models for image-based classification of common oral conditions.

OBJECTIVE: To compare tuned end-to-end and hybrid deep learning strategies for image-based classification of common oral conditions under small and im...

Use of Generative Artificial Intelligence in the Management of Low Back Pain: a Scoping Review.

BACKGROUND CONTEXT: Low back pain (LBP) is common and a major cause of disability globally. Generative artificial intelligence (GenAI) such as ChatGPT...

The Last Mile Problem: A Critical Assessment of Physics-Based and AI Tools for Small Molecule Binding Prediction in Virtual Screening.

Docking-based virtual screening (VS) is essential for hit finding in the initial stage of drug or probe discovery. However, it remains prone to high f...

Input-to-State Safety for Reinforcement Learning.

In this article, we present a novel off-policy, safe reinforcement learning (RL) approach for nonlinear dynamical systems under input saturation that ...

End-of-surgery prediction of postoperative infectious complications from intraoperative vital-sign dynamics.

Infections after surgery remain a leading cause of morbidity and mortality, yet reliable risk stratification at the end of surgery is limited. Intraop...

TEAMSTER: End-to-end pipeline for generation, processing, and automated quantitative image analysis of 3D tumour spheroids for nanobiology.

Three-dimensional (3D) tumour spheroids are widely used as physiologically relevant in vitro models to study tumour biology, therapeutic responses, an...