Care of terminally ill / Palliative care

A review of radiotherapy linear accelerator quality control techniques.

This study provides a review of recent publications on different quality control (QC) techniques for radiotherapy linear accelerators (linacs). QC in radiotherapy is essential to ensure patient safety, deliver optimal quality treatments, monitor equipment performance over time and to satisfy statutory or recommended testing. Whilst conventional QC methods are still widely used and valuable, there ...

An Integrated Raman Platform with Embedded AI for Intraoperative Real-Time Cancer Detection.

Raman spectroscopy workflows are often fragmented across proprietary tools and ad hoc data-processing scripts, which slow decision-making and limit reproducibility and auditability. We present an integrated Raman platform with a Python-based GUI application that interfaces with the optical system(s) to unify instrument control, automate data acquisition, noise removal, signal processing, and run a...

Universal Representation for Real-World Misaligned Infrared-Visible Image Fusion.

Infrared and visible image fusion is pivotal for robust visual perception across all weather conditions and scenes. Although deep learning-based metho...

Evaluation Methods for Inference-Time Retrieval-Augmented and Graph Retrieval-Augmented Large Language Models in Health Care: Scoping Review.

BACKGROUND: Inference-time retrieval augmentation is increasingly used to improve the traceability and verifiability of large language model (LLM) app...

An end-to-end deep learning image compression method for satellite images based on entropy model.

With the extensive applications of satellite image data in environmental monitoring and geographic surveying and mapping, the amount of data has incre...

End-to-End Neuromorphic Cryptosystems Using n-type Organic Optoelectrochemical Synapses.

Cryptographic bionics, which seeks to emulate biological principles for secure information processing, remains largely unexplored at the hardware leve...

Artificial intelligence in medicine: a clinician-oriented guide and operational framework to evaluate new AI devices.

BACKGROUND: Artificial Intelligence (AI) is rapidly transitioning from experimental research to daily medical practice, yet the medical community's un...

End-to-End Clinical Validation of a Human-Supervised Large Language Model Agent for Enterprise Surgical Pathology Reporting.

Large language models (LLMs) show promise for text-based pathology tasks, yet most reported applications remain experimental, lack formal clinical val...

DDSurfer: A Weakly-Supervised Dual-Stream Deep Learning Framework for Cortical Surface Reconstruction From Diffusion MRI.

Cortical surface reconstruction of white matter and pial surfaces from diffusion MRI (dMRI) is critical for neuroimaging analyses, including tractogra...

Principles for Responsible AI in Health Professions Education, Research, and Care: Health CARE-AI (Contextual, Accountable, Responsible, and Equitable Artificial Intelligence) Framework Delphi Consensus Study.

BACKGROUND: Artificial intelligence (AI) is rapidly integrating into health professions education and clinical practice, creating significant opportun...

Toward ubiquitous surgical assistance services via private 5G infrastructure.

PURPOSE: Advanced data processing methods, including artificial intelligence (AI), are increasingly integrated into clinical practice, improving treat...

A Secure User Interface for Preclinical Evaluation of AI in Patient Portal Message Management: Tutorial.

The growing use of AI to support patient portal message management requires rigorous preclinical evaluation. Directly testing AI within electronic hea...

Computer-Vision Approach to Triaging Patient-Submitted Photos of Intestinal Ostomies.

BACKGROUND: Surgeons and ostomy nurses receive a high volume of stoma photos from patients. OBJECTIVE: This study aimed to develop and validate an aut...

Machine Learning-Guided Near-Infrared Laser Processing for Precise Geometry Control in Microneedles with Downstream microLED-Triggered Photothermal Functionality.

Transdermal drug delivery and sensing provide non-invasive routes for localized therapy and biomarker detection. Microneedles (MNs) enable pain-free a...

End-to-end deep learning for flight trajectory reconstruction from multi-station ADS-B measurements.

In the field of aviation safety, ADS-B is widely adopted as an active broadcast-based aviation surveillance system, enabling aircraft to broadcast the...

Patient- and Caregiver-Informed Considerations for the Design and Implementation of Generative AI-Supported Patient-Centered Clinical Decision Support: Qualitative Study.

BACKGROUND: Generative artificial intelligence (AI) has the potential to impact health care by transforming workflows and improving outcomes. Patient-...

A unified multi-modal foundation model for end-to-end emergency care.

Against the backdrop of population aging and the rising burden of chronic diseases in China, emergency departments (EDs) in tertiary hospitals remain ...

Mind the gap: An embedding guide to safely travel in sequence space.

We present a hybrid approach combining a protein language model (pLM) with Monte Carlo (MC) sampling for generating enzyme mutants free of mutations d...

AI-Based Segmental Volumetry of the Downstream Aorta in Aortic Dissection: End-to-End Versus Hybrid Strategies.

Automated segmental volumetry is effective for aortic dissection surveillance but lacks standardization. This study aimed to identify the optimal deep...

A predictive model for early neurological deterioration in medullary infarction based on explainable machine learning.

BACKGROUND: Medullary infarction is a severe subtype of ischemic stroke. Early neurological deterioration (END) is a common adverse event that can sig...