AI Medical Compendium

Integrating GC-MS, high-throughput sequencing, and machine learning to elucidate flavor development and microbial succession in Italian-style dry-cured ham.

Food research international (Ottawa, Ont.) Jan 17, 2026

This study investigated effects of ripening on physicochemical, aroma profiles, and microbial succession in Italian-style dry-cured ham (ISDCH). Results showed that moisture content and pH decreased significantly during ripening, while the proteolyti... read more

Intelligent recognition of the fermentation stage of baijiu based on multi-dimensional data fusion and interpretable machine learning.

Food research international (Ottawa, Ont.) Jan 17, 2026

In the traditional solid-state fermentation of Baijiu, production control primarily relies on human expertise and retrospective offline analysis due to the lack of real-time, objective assessment methods. To address this limitation, this study introd... read more

MFMINet: Multimodal fusion and cross-layer interaction network for semantic segmentation of high-resolution remote sensing images.

iScience Jan 16, 2026

In recent years, semantic segmentation of remote sensing images using deep convolutional neural networks (CNNs) has seen rapid development in fields like urban planning and land cover analysis. However, reliance on a single imaging modality is often ... read more

A UAV image dataset for object detection with annotations generated using LabelImg and Roboflow.

Data in brief Jan 16, 2026

The dataset consists of drone images of cotton fields which were created to aid precision agriculture and machine learning-based weed detection research. The main goal is to enable the creation of object detection models for crop-weed differentiation... read more

A novel framework for fully automated co-registration of intravascular ultrasound and optical coherence tomography imaging data.

European heart journal. Digital health Jan 16, 2026

AIMS: To develop a deep-learning (DL) framework that enables fully automated longitudinal and circumferential co-registration of intravascular ultrasound (IVUS) and optical coherence tomography (OCT) images. METHODS AND RESULTS: Data from 230 patient... read more

Development of a machine learning model to predict intensive care unit bed demand for adult elective surgical patients at a large United Kingdom National Health Service Trust.

BJA open Jan 16, 2026

BACKGROUND: Elective surgical admissions form a growing share of demand for ICU beds, a constrained resource. Capacity planning for these admissions is feasible, but hospitals often lack reliable systems estimating daily elective surgical ICU bed dem... read more

Activating the SDF-1/CXCR4 axis: Notoginsenoside R1-Functionalized zinc scaffolds accelerate fracture healing and angiogenesis in diabetic osteoporosis.

Biomaterials Jan 16, 2026

Effective treatment of diabetic osteoporotic fractures (DOF) requires biomaterials capable of promoting vascularized bone regeneration. A biodegradable porous zinc (Zn) scaffold incorporating sustained-release Notoginsenoside R1 (NGR1), referred to a... read more

Siamese networks in Raman spectroscopy: Towards a better performance against replicate variability.

Talanta Jan 16, 2026

The power of Raman spectroscopy is largely enhanced by machine learning and chemometrics, which extract and translate the spectral features into high-level biological or clinical knowledge by constructing classical or deep learning models. The genera... read more

CoCoFR: Collaborative codebooks learning with soft matching strategy for blind face restoration.

Neural networks : the official journal of the International Neural Network Society Jan 16, 2026

Blind Face Restoration (BFR) has garnered considerable attention for its practical applicability to recover high-quality (HQ) facial images from their degraded versions. Existing BFR methods primarily incorporate diverse priors to mitigate its ill-po... read more

Attitudes of psychiatric nurses towards the integration of artificial intelligence applications to clinical care: a qualitative study in China.

BMC nursing Jan 16, 2026

BACKGROUND: The application of artificial intelligence in mental health faces unique challenges. Psychiatric nurses provide direct care to patients with mental illness, and their attitudes toward artificial intelligence will directly impact the effec... read more

Artificial Intelligence Medical Compendium