Care of terminally ill / Palliative care

A machine learning-coupled APSIM model pipeline for projected oil palm yield in Surat Thani, Thailand.

Accurate and timely forecasts of oil palm yield are essential for both short-term farm management and long-term adaptation planning, yet their reliability is often constrained by the coarse spatial resolution of climate datasets and structural biases in process-based crop models. To address these challenges, we developed an end-to-end modeling framework that integrates spatially refined climate in...

Review Topic: Don't Cancer Doctors Offer Good-Quality Care?

We offer the perspectives of two veterans on the last quarter century of quality improvement efforts in oncology care. We believe that our colleagues deliver high quality care, but challenges remain in demonstrating this assertion to patients, payers, policy makers and to our colleagues. The journey began with the American College of Surgeons (ACOS) establishing minimum standards for cancer surger...

End-to-end DOA estimation via self-supervised cascaded DNNs with array errors mitigation.

In this paper, we present a novel cascaded deep neural network architecture for high-precision direction-of-arrival (DOA) estimation in the presence o...

End to End Proximal Anastomosis is the Sole Modifiable Variable in Risk Score for Loss of Patency of Aortobifemoral Artery Bypass After Index Operative Hospitalization.

OBJECTIVE: The purpose of this study was to create a risk score for loss of aorto-bifemoral artery bypass (ABF) patency utilizing preoperative, periop...

An end-to-end deep learning framework with nonstationary weighting strategy for enhancing reservoir landslide displacement prediction.

Accurate prediction of temporal reservoir landslide displacement using key environmental variables, such as rainfall depth, reservoir water level, and...

A Hybrid Deep Learning Framework with Supervised Contrastive Learning for Robust Seizure Detection in Long-Term EEG.

Accurate and timely automatic detection of epileptic seizures is crucial for reducing the workload for visually inspecting long-term electroencephalog...

Design of an AI-based security anomaly detection system for IoT terminals based on the ViT-transformer fusion model.

The deep penetration of IoT terminals in water systems, healthcare, transportation, and other fields has exacerbated security threats such as cyber-ph...

Identification of Pathological Secretions in Bronchoscopic Images Based on Edge Features and Multi-Scale Attention Mechanism.

The accumulation of pathological bronchial secretions compromises ventilation and oxygenation in critically ill patients and may lead to atelectasis o...

Bayesian convolutional front-end based uncertainty-aware hybrid quantum-classical image classification.

Quantum machine learning on noisy intermediate-scale quantum (NISQ) devices often suffers from noise sensitivity, small-data overfitting, and miscalib...

Interpretable generative machine learning platform for chronological prediction of forensic paper aging via GC-IMS volatiles characterization in judicial authentication.

The determination of paper aging is crucial for forensic document examination, enabling the identification of temporal origin in forgery or fraud case...

Democratizing Artificial Intelligence in Toxicology: Real-World Applications and Automated Computational Workflows.

Artificial intelligence (AI) and machine learning are transforming toxicological research and chemical safety assessment. Although user-friendly compu...

PipeBench: a benchmarking framework for end-to-end machine learning pipelines.

The integration of machine learning (ML) into modern data management systems has enabled intelligent decision-making across large-scale information in...

Artificial Intelligence-Supported Colorimetric Multibiomarker Sensor to Enable Critical Neonatal Monitoring.

Clinical monitoring in the most vulnerable patients, such as newborns, relies on invasive and costly procedures and/or wired sensor surveillance, incr...

Beyond Time Saved: Implementation, Equity, and the Utility Threshold for Nursing AI Scribes.

Schwabe et al's pre-post time-motion study of a domain-specific artificial intelligence (AI) speech assistant used by nurses in German long-term care ...

What do UK hospice websites communicate about the meaning of palliative care?

OBJECTIVES: Hospice websites are an important source of information for the public. This study examined whether information communicated about palliat...

End-to-end molecular structure elucidation from multimodal NMR spectra images using vision transformers.

Nuclear magnetic resonance (NMR) spectroscopy is a cornerstone technique for molecular structure elucidation, but interpreting complex NMR spectra rem...

Construction of a sports bio mechanical injury prediction and AI warning system based on wearable sensors.

BACKGROUND: Real-time warning and prevention of sports injuries are core challenges in the fields of sports medicine and health management. Traditiona...

Machine learning-driven high-throughput screening of electrocatalysts and electrolytes for electrochemical surfaces and interfaces.

Machine learning (ML) establishes a new paradigm for electrocatalyst and electrolyte research by coupling high-throughput screening (HTS) with a data-...

TVRN: Invertible Neural Networks for Compression-Aware Temporal Video Rescaling.

To fit diverse display and bandwidth constraints, high-frame-rate videos are temporally downscaled to low-frame-rate (LFR) and later upscaled, requiri...

Biobanking in the Era of Artificial Intelligence: Convergence, Challenges, and Opportunities.

Artificial intelligence (AI) is advancing rapidly, transforming biomedical research and health care through software applications ranging from diagnos...