AI Medical Compendium

The integration of artificial intelligence through quality by digital design for sustainable pharmaceutical manufacturing.

International journal of pharmaceutics Feb 14, 2026

The pharmaceutical industry is increasingly embracing digital transformation to enhance product quality, manufacturing efficiency, and environmental sustainability. This review explores the integration of artificial intelligence (AI) within the quali... read more

Optical Coherence Tomography Radiomics and Machine Learning Enable Accurate Detection of Forme Fruste Keratoconus.

American journal of ophthalmology Feb 14, 2026

PURPOSE: To evaluate the diagnostic performance of a radiomics-based machine learning approach applied to corneal optical coherence tomography (OCT) images for detecting forme fruste keratoconus (FFKC). DESIGN: Evaluation of machine learning diagnost... read more

MRI-based Radiomics and volumetrics for predicting the onset of Alzheimer's Disease with explainable machine learning.

NeuroImage Feb 14, 2026

The detection of Alzheimer's Disease (AD) using structural Magnetic Resonance Imaging (MRI) and Machine Learning (ML) often focuses on late-stage atrophy patterns. End-to-end deep learning models address this by considering MRI signal intensities. Ho... read more

Interpretable multimodal machine learning model for predicting health risks of patients with heart failure.

Methods (San Diego, Calif.) Feb 14, 2026

Heart failure (HF) is one of the major causes of morbidity and mortality globally, necessitating accurate tools for health outcome prediction and risk stratification. In this study, we propose an interpretable multimodal machine learning framework in... read more

Clinical integration of artificial intelligence and mixed reality-based dynamic navigation for implant placement in the anterior maxilla.

Journal of dentistry Feb 14, 2026

OBJECTIVE: To report the first clinical application of an integrated workflow combining artificial intelligence (AI) with mixed reality-based dynamic navigation (MR-DN) for guided dental implant placement in the anterior maxilla. METHODS: The propose... read more

Exploring continuity information in sparse Data: Mechanism-Informed data augmentation strategy to enhance prediction accuracy of Anammox process models.

Bioresource technology Feb 14, 2026

The stability of the anaerobic ammonium oxidation (Anammox) process, crucial for low-carbon wastewater treatment, relies on effective control of nitrite levels and other conditions. Accurate prediction of effluent nitrite and related indicators is es... read more

KMGTMDA: KAN-driven multiscale graph neural network and context-enhanced prediction for human microbe-disease associations.

Bio Systems Feb 14, 2026

OBJECTIVE: Microorganisms play an irreplaceable role in critical physiological processes such as human metabolic regulation, cancer inhibition, and pathogen antagonism, yet traditional culture-based microbial experiments are expensive and time-consum... read more

Implementing artificial intelligence (AI) to facilitate health outcomes in mood disorders: Application versus aspiration.

Journal of affective disorders Feb 14, 2026

The burden of depressive and bipolar disorders at the individual and societal level are extraordinary and increasing. For decades, evidence-based treatments for these conditions have been established but outcomes amongst individuals with lived experi... read more

Marine-Derived bioactive compounds from Aquaculture: Receptor-Mediated neuroprotection in neurodegenerative disorders.

Brain research Feb 14, 2026

Neurodegenerative diseases, like Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), amyotrophic lateral sclerosis (ALS), and ischemic stroke (IS), are a major global health challenge because of their complex, multifactoria... read more

Long-range electrostatics for machine learning interatomic potentials is easier than we thought.

The Journal of chemical physics Feb 14, 2026

The lack of long-range electrostatics is a key limitation of modern machine learning interatomic potentials (MLIPs), hindering reliable applications to interfaces, charge-transfer reactions, polar and ionic materials, and biomolecules. In this Perspe... read more

Artificial Intelligence Medical Compendium