AI Medical Compendium

Deep reinforcement learning for carrier-based aircraft flight deck operations scheduling problem.

Neural networks : the official journal of the International Neural Network Society Feb 24, 2026

Flight deck operations scheduling is an NP-hard combinatorial optimization problem, where traditional methods face a critical trade-off between computational efficiency and solution quality. To address this challenge, we propose a deep reinforcement ... read more

Graph empirical mode decomposition and multiscale feature extraction for EEG-based classification of Alzheimer's disease and frontotemporal dementia.

Computer methods and programs in biomedicine Feb 24, 2026

BACKGROUND AND OBJECTIVE: Early and correct classification of neurodegenerative diseases like Alzheimer's Disease (AD) and Frontotemporal Dementia (FTD) is one of the most important challenges in clinical neurology. In this paper, we present a novel ... read more

TLS-grapevine2024: A terrestrial laser scanner point cloud dataset of grapevines at different phenological stages.

Data in brief Feb 24, 2026

Grapevines (Vitis vinifera L.) undergo structural and physiological changes throughout the growing season, progressing through distinct phenological stages that require regular monitoring. This dataset consists of high-resolution point cloud data acq... read more

Diabetic retinopathy classification network with multi-frequency contextual attention module.

Medical engineering & physics Feb 24, 2026

Diabetic retinopathy (DR) remains a major cause of visual impairment globally, and early, accurate diagnosis is critical for effective intervention. To address the challenges of limited labeled training data, difficulty identifying subtle and dispers... read more

Preconditions for responsible artificial intelligence adoption in psychiatry: commentary, Armitage.

The British journal of psychiatry : the journal of mental science Feb 24, 2026

Transcriptome Profiling of Peripheral Blood for Inflammatory Subtype Classification and Diagnostic Model Construction in Asthma.

The Journal of asthma : official journal of the Association for the Care of Asthma Feb 24, 2026

OBJECTIVE: This study aimed to identify inflammatory subtypes of asthma using peripheral blood transcriptomics and to derive candidate biomarkers supported by multi-level validation. METHODS: This study integrated peripheral blood bulk RNA sequencing... read more

Beyond pre-travel risk assessment: machine learning for clinical diagnosis in returned travellers.

Journal of travel medicine Feb 24, 2026

Machine learning (ML) applications in post-travel clinical care remain limited. ML-based models show good diagnostic performance for malaria when clinical, laboratory, and travel itinerary data are incorporated, but only modest performance for gastro... read more

A Bilayer Hydrogel Sensor for Elderly Oriented Human-Machine Interaction.

ACS applied materials & interfaces Feb 24, 2026

As the population ages, the need for accessible and effortless human-machine interaction (HMI) systems tailored to elderly users has grown rapidly. However, the existing gesture sensors, mainly designed for normal motion monitoring, rarely address th... read more

Exploring the Investment Construct for Quantifying AI Utilization.

Human factors Feb 24, 2026

ObjectiveWe explored the Investment construct to quantify human utilization of AI and examined respect, trust, workload, and self-confidence as factors influencing utilization within the Investment Framework.BackgroundThe Investment construct is a ne... read more

Enhancing agreement in cardiotocography interpretation between midwives and obstetricians through a rule-based AI program: A comparative cross-sectional study.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics Feb 24, 2026

OBJECTIVE: To evaluate whether a rule-based artificial intelligence (AI) program can enhance interrater agreement in cardiotocography (CTG) interpretation between nurse-midwives and obstetricians. METHODS: CTG data from 50 singleton pregnancies at ≥3... read more

Artificial Intelligence Medical Compendium