AI Medical Compendium

Identification of Reproducible CT-Image Based Radiomic Features That Predict Shoulder Arthroplasty Outcomes.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society Feb 1, 2026

The goal of this radiomic analysis is to quantify the sensitivity of radiomic features on computed tomography (CT) image pre-processing parameters and use machine learning (ML) techniques to identify the radiomic features that are highly predictive o... read more

Artificial Intelligence-derived Measurements of Myosteatosis from Coronary Artery Calcium CT Scans to Predict COPD: The Multi-Ethnic Study of Atherosclerosis.

Radiology. Cardiothoracic imaging Feb 1, 2026

Purpose To evaluate the predictive value of myosteatosis as an opportunistic finding in coronary artery calcium (CAC) CT scans for clinically diagnosed chronic obstructive pulmonary disease (COPD) and compare it with an artificial intelligence (AI)-m... read more

A Beginner's Guide to Using DeepVirFinder for Viral Sequence Identification From Metagenomic Datasets.

Current protocols Feb 1, 2026

Identifying viral sequences from metagenomic datasets is critical for investigating their origins, evolutionary patterns, and ecological functions. Previously, we developed a novel deep learning software, DeepVirFinder, to predict viral sequences fro... read more

Deep learning-based lung volume estimation with dynamic chest radiography.

Journal of applied clinical medical physics Feb 1, 2026

BACKGROUND: Dynamic chest radiography (DCR) is a recently developed low-dose pulmonary functional imaging method that can be performed in a general X-ray room. DCR provides sequential images during respiration, and the measured changes in lung area a... read more

Erratum to "Modeling shade use of grazing dairy cows using sensor-derived data and machine learning" (J. Dairy Sci. 108:11151-11163).

Journal of dairy science Feb 1, 2026

Beam angle optimization for radiotherapy using LLMs via reinforcement-learning inspired iterative refinement.

Medical physics Feb 1, 2026

BACKGROUND: Radiotherapy treatment planning (TP) aims to maximize radiation dose delivered to tumors while minimizing exposure to surrounding healthy tissues. Beam angle optimization (BAO) is a crucial component of TP, characterized by high dimension... read more

Filling the Gaps in Health Data: Using a Machine Learning Approach to Augment Partially Observed Variables Such as Smoking in Claims Data.

Pharmacoepidemiology and drug safety Feb 1, 2026

PURPOSE: Missing information is common in real-world claims data, particularly on behavioral confounders, for example, smoking. Often one category of the variable, "yes" is partially observed while the other "no" remains completely missing-a pattern ... read more

Comprehensive tumour-immune profiling reveals TREM2+ tumour-associated macrophages facilitating lymph node metastasis in head and neck squamous cell carcinoma.

Clinical and translational medicine Feb 1, 2026

BACKGROUND: Lymph node (LN) metastasis is a well-established independent prognostic factor in head and neck squamous cell carcinoma (HNSCC). Formation of suppressive tumour immune microenvironment (TIME) is a major contributor to tumour immune evasio... read more

At the Crossroads of Data Justice and Data Capitalism: How Generative AI in Healthcare Mobilises Its Assemblages.

Sociology of health & illness Feb 1, 2026

Algorithmic technologies such as machine learning, generative artificial intelligence (GenAI) and automated decision-making have become one of the frontiers of contemporary technoscientific innovation in healthcare. However, algorithmic technologies ... read more

Functional and Clinical: An Explainable Deep Learning Model for Multimodal Alzheimer's Disease Classification.

Brain and behavior Feb 1, 2026

PURPOSE: Functional magnetic resonance imaging (fMRI) and deep learning models can classify Alzheimer's disease (AD) with high accuracy. These models are highly adaptable and work with a plethora of architectures, data types, and AD stages. However, ... read more

Artificial Intelligence Medical Compendium