AI Medical Compendium

Ultrasound-guided sound speed correction for photoacoustic computed tomography.

Photoacoustics Jan 30, 2026

Photoacoustic computed tomography (PACT) reconstructs high-resolution images of various chromophores in deep biological tissue. A key to high-quality reconstruction is accurate compensation for the spatially heterogeneous speed of sound (SoS) in tiss... read more

A meta-heuristic aided arrhythmia classification model using advanced deep learning technique with multiple feature extraction mechanisms.

Computational biology and chemistry Jan 30, 2026

Cardiac arrhythmia poses an important threat to human life; hence it is an urge to diagnose properly. There are numerous mechanisms deployed for the identification of arrhythmias; yet, most of the techniques have been utilized sources such as Electro... read more

A computational architecture incorporating shallow brain networks: integrating parallel cortical and subcortical processing.

Current research in neurobiology Jan 30, 2026

Artificial neural networks commonly have deep hierarchical structures that were originally inspired by the neuroanatomical evidence of cortico-cortical connectivity pattern found in the mammalian brain. Largely under-represented in those models are n... read more

From qualitative prediction to quantitative insight: combined meteorological patterns and regional dynamics of severe fever with thrombocytopenia syndrome in Liaoning Province, China, 2010-2024.

Infectious Disease Modelling Jan 30, 2026

BACKGROUND: Severe fever with thrombocytopenia syndrome(SFTS) is an emerging tick-borne disease with an expanding range and increasing public health burden. Meteorology-driven frameworks that integrate qualitative prediction with quantitative risk es... read more

Comprehensive image dataset of flexible pavement: Alligator cracks and edge-breaks from national highway (N6) of urban areas.

Data in brief Jan 30, 2026

This data article introduces a structured pavement surface image dataset developed to advance research in automated pavement condition assessment and data-driven road infrastructure monitoring. The dataset comprises three distinct pavement condition ... read more

Advancing climate-resilient livestock systems: Next-generation emission mitigation strategies and integrated technological innovations.

Veterinary and animal science Jan 30, 2026

Livestock production significantly contributes to global greenhouse gas (GHG) emissions, particularly methane (CH₄), nitrous oxide (N₂O), and carbon dioxide (CO₂), posing challenges to climate change mitigation and environmental sustainability. This ... read more

Helical morphology-inspired bistable gripper for UAV upward perching and grasping in field environment.

Bioinspiration & biomimetics Jan 30, 2026

There is a growing interest in unmanned aerial vehicles (UAVs) being able to perch onto objects, which expands their scope of applications. Many perching strategies are inspired by natural organisms, including birds, insects, and helical morphologies... read more

Constructing fine-grained subcortical atlases with connectional consensus graph representation learning.

Physics in medicine and biology Jan 30, 2026

Objective.The complex internal organization of subcortical structures forms the foundation of critical neural circuits that support sensorimotor processing, emotion regulation, and memory. However, their complex internal organization poses a signific... read more

State of the art in soft eversion robots for colonoscopy: a review.

Progress in biomedical engineering (Bristol, England) Jan 30, 2026

This review explores the current state of eversion robotics in the context of colonoscopy, given the need for less invasive, more patient-friendly screening technologies. Conventional colonoscopy often leads to discomfort and patient reluctance, cont... read more

A dual-task deep learning framework for automated detection and classification of coronary artery lesions in invasive coronary angiography imaging.

European journal of medical research Jan 30, 2026

OBJECTIVE: This study aims to develop and evaluate a dual-task deep learning framework for the simultaneous detection and classification of coronary lesions in invasive coronary angiography (ICA). MATERIALS AND METHODS: A retrospective analysis was c... read more

Artificial Intelligence Medical Compendium