AI Medical Compendium

Bridging Artificial Intelligence, Machine Learning with Green Nanotechnology: A Visionary Framework for Smart Fungal Disease Management in Plants.

Planta Apr 12, 2026

Fungal diseases in plants pose significant threats to global food security and sustainable agriculture, yet current management methods remain limited by environmental concerns and increasing pathogen resistance. Advanced plant disease detection ML me... read more

Scalable Quantum Non-Local Neural Network Optimized with Tyrannosaurus Algorithm for Brain tumor Detection using MRI Images.

The International journal of neuroscience Apr 12, 2026

Early and reliable detection of brain tumors from magnetic resonance imaging (MRI) is essential for timely clinical diagnosis and treatment planning. However, automated tumor detection continues to be challenging due to the heterogeneous nature of tu... read more

Evaluation of GPT-5, a Large Language Model, in Replicating German Clinical Practice Guideline Recommendations in Oral Oncology: A Cross-Sectional Concordance Study.

Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology Apr 12, 2026

BACKGROUND: Artificial intelligence (AI) technologies, particularly large language models (LLMs) such as ChatGPT, are increasingly utilised in medical education and clinical information retrieval. Nevertheless, their capacity to accurately reproduce ... read more

Classification of fallers in Parkinson's disease through machine learning based feature analysis.

NPJ Parkinson's disease Apr 12, 2026

Classification of fallers in Parkinson's disease (PD) is challenging due to the heterogenous motor and non-motor symptoms. We developed a machine learning model integrating clinical and gait data to identify key clinical markers of faller status in P... read more

Quantitative Assessment of Third Molar Extraction Difficulty and Nerve Injury Risk Using Artificial Intelligence and Image Processing.

Annals of biomedical engineering Apr 12, 2026

PURPOSE: Tooth pattern and surrounding tissue can affect the complexity of third molar (3M) extraction surgery. This study aimed to develop a new, more precise 3M extraction difficulty assessment scoring system by applying image computational techniq... read more

Chemometric and learning-based multivariate models for quantifying a challenging quaternary mixture of bupropion, dextromethorphan, and their related impurities by UV-Vis spectrophotometry.

BMC chemistry Apr 12, 2026

This study presents a robust, green, sustainable and time-efficient approach for the simultaneous determination of Bupropion HCl (BUP) and Dextromethorphan HBr (DEX) along with their related impurities 3-Chlorobenzoic acid and N, N-Dimethylaniline. P... read more

Multiscale analysis and optimal glioma therapeutic candidate discovery using the CANDO platform.

Journal of cheminformatics Apr 12, 2026

Glioma is a highly malignant brain tumor with limited treatment options. We employed the Computational Analysis of Novel Drug Opportunities (CANDO) platform for multiscale therapeutic discovery to predict new glioma therapies. We began by computing i... read more

Bone Magnetic Resonance Imaging: From Conventional Methods to AI-Driven Solutions.

Journal of magnetic resonance imaging : JMRI Apr 12, 2026

With global population aging and increased life expectancy, bone diseases affect a substantial proportion of individuals worldwide, imposing a significant socioeconomic burden. Although X-ray-based imaging techniques remain the clinical standard for ... read more

Artificial Intelligence for Working Length Determination in Endodontics: A Systematic Review and Meta-Analysis.

Australian endodontic journal : the journal of the Australian Society of Endodontology Inc Apr 12, 2026

This systematic review and meta-analysis evaluated the comparative performance of artificial intelligence (AI) models versus comparators for working-length determination using radiographic or impedance-based inputs. A comprehensive search across seve... read more

Artificial Intelligence-Empowered Image Fusion of Coronary Computed Tomography Angiography and Invasive Angiography for Guiding Chronic Total Occlusion Percutaneous Coronary Intervention.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions Apr 12, 2026

Coronary computed tomography angiography (CCTA) provides qualitative and quantitative characteristics of atherosclerotic plaques, quantified percentages of myocardial perfusion from target vessels, and functional information-key insights that lend cr... read more

Artificial Intelligence Medical Compendium