Care of terminally ill / Palliative care

Design and simulation of a hybrid PLC-AI automotive control module for adaptive lighting and honking.

Excessive honking and improper use of the headlamp beam significantly impact driving safety at night through visual impairment caused by headlamp beam glare, driver discomfort and noise pollution in urban areas. Current adaptive lighting technologies are mostly aimed at controlling individual headlamps, and are not connected to the rest of the vehicle's response. To overcome this, this paper prese...

Development of an Arterial Carbon Dioxide Estimation Model Using End-Tidal Carbon Dioxide Levels during Surgery in the Pediatric Population.

BACKGROUND: Intraoperative arterial carbon dioxide partial pressure monitoring is essential for pediatric ventilatory management but requires invasive arterial sampling. While end-tidal carbon dioxide offers a noninvasive alternative, its reliability is limited by individual physiological gradients. This study developed a machine learning model to estimate arterial carbon dioxide partial pressure ...

Robust adaptive fault-tolerant learning control for human height-weight prediction based on DNN.

In this paper, a distributed robust adaptive confined fault-tolerant optimal control method based on deep neural networks is proposed, aiming to solve...

Implementing Digital Respiratory Technologies for People With Respiratory Conditions: Scoping Review.

BACKGROUND: Digital health offers opportunities for safe, equitable, and accessible care, and its integration into respiratory care is a strategic pri...

A Physics-Guided Neural Network Framework for Prediction and Control of Spring-Mass Running.

The spring-mass template acts as a fundamental bridge between animal locomotion and legged robotic platforms. However, controlling spring-mass dynamic...

Adversarial sample generation technology combining benign salient areas and improved GAN in white-box and black-box attack scenarios.

A end-to-end malware visual security assessment and defense framework is proposed to address the serious vulnerability faced by malware visual classif...

End-to-end robust system discovery in electrical dynamical systems using scientific machine learning.

System discovery is an important part of the power systems asset management process. In this paper, we introduce an end-to-end approach for robust sys...

Large language models integrated into brain-computer interfaces for communication and control: a systematic review.

Large language models (LLMs) are starting to be coupled with brain-computer interfaces (BCIs) for assistive communication, but the resulting systems d...

E2E-OCT: end-to-end joint learning model using optical coherence tomography images for vocal cord leukoplakia diagnosis.

In our previous study, a home-built handheld OCT system was used to collect OCT images in vocal cord leukoplakia. First, 383 valid OCT images were col...

MutAIverse: an AI-powered, mechanism-backed platform for discovering novel DNA adducts and their precursor genotoxins.

Genotoxin exposure leads to DNA adduct formation, potentially causing mutations if unrepaired. Current DNA adductomics platforms or analytical workflo...

An AI-Driven H5P Training for Epilepsy Emergency Management Preparedness in Dental Education.

BACKGROUND: Deficiencies in knowledge and skills related to the management of medical emergencies in dental settings can adversely affect the clinical...

Benchmarking large language models for cell-free RNA diagnostic biomarker discovery.

Large language models can synthesize biomedical knowledge, parse vast amounts of data, and generate code, positioning them as promising tools for biom...

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 reliabi...

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 ...

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...

Robust end-to-end stratification of amyotrophic lateral sclerosis patients via recurrent variational autoencoder and consensus clustering.

OBJECTIVE: This study aims to develop a data-driven methodology for stratifying Amyotrophic Lateral Sclerosis (ALS) patients based on longitudinal dis...

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...