AI Medical Compendium

Path-Decoupled Cation-Eutaxy III-V van der Waals Memristive Semiconductors for Mitigating the Neuromorphic Accuracy-Energy Trade-off.

Advanced materials (Deerfield Beach, Fla.) May 13, 2026

Transistor-based computing faces a fundamental energy-resolution trade-off: lowering the conductance reduces the programming energy (Eprog) but simultaneously narrows the dynamic range (Gmax/Gmin) required for multilevel state discrimination. A memri... read more

Policy-Based Active Learning for Efficient Molecular Identification.

Journal of chemical information and modeling May 13, 2026

Efficient identification of high-value molecules under limited experimental budgets remains a central challenge in automated chemical design. In Level 4 automation settings, where chemists define candidate spaces and machine learning models guide exp... read more

MRI-based radiomics explainable model for predicting recurrence of limb chronic osteomyelitis in limb bones treated by Masquelet technique.

Bone & joint research May 13, 2026

AIMS: This study aimed to develop a machine learning model for predicting chronic osteomyelitis recurrence (COR) following the Masquelet technique (MT). The model integrated MRI-based radiomics with clinical characteristics to guide the definitive tr... read more

Small-Sample Reference Interval Estimation: A Comparative Analysis of HARISS, Robust, Parametric, and Nonparametric Methods Using a Computer-Simulation Study.

Veterinary clinical pathology May 13, 2026

BACKGROUND: Current veterinary guidelines for establishing reference intervals (RIs) from small samples typically recommend the robust method (RM) or, alternatively, parametric or nonparametric methods (PNPM) based on data distribution (Gaussian or n... read more

Classification of Serum Protein and Immunofixation Electrophoresis Images by Computer Vision-Based Deep Learning Models: A Single- and Dual-Modality Study.

Annals of clinical biochemistry May 13, 2026

Objectives: The objective of this study was to develop deep learning models for the automated classification of serum protein electrophoresis (SPE) and immunofixation electrophoresis (IFE) images into oncologic, non-oncologic, and healthy categories,... read more

The Combination of Machine Learning and Metabolomics for the Clinical Diagnosis of Hepatocellular Carcinoma.

Journal of proteome research May 13, 2026

The early diagnosis of hepatocellular carcinoma (HCC) lacks biomarkers with a high sensitivity and specificity. This study was to find sensitive and specific diagnostic markers for HCC by analyzing the imbalance of serum metabolites in patients with ... read more

Machine learning combined with WGCNA reveals potential calcium uptake-associated biomarkers in Parkinson's disease.

Annals of human biology May 13, 2026

BACKGROUND: Parkinson's disease (PD) is the second most common neurodegenerative disease, characterised by progressive loss of dopaminergic neurons in the substantia nigra pars compacta. Although previous studies have suggested a correlation between ... read more

Acceptability, deviation, and efficiency of automated artificial intelligence-based implant planning methods: A comparison with human intelligence.

Journal of prosthodontics : official journal of the American College of Prosthodontists May 13, 2026

PURPOSE: To evaluate the acceptability, deviation, and efficiency of two automated, artificial intelligence-driven implant planning methods compared with a human-based approach for single-tooth replacement. MATERIALS AND METHODS: Data of 32 patients,... read more

Plain Language Summarization of Environmental Health Research Using Generative AI: Community-Engaged Qualitative Study.

Journal of medical Internet research May 13, 2026

BACKGROUND: Plain language summaries (PLSs) are increasingly required in environmental health publications to improve public accessibility. Generative artificial intelligence (AI) systems such as large language models can automatically produce such s... read more

Machine Learning-Assisted Portable Ai BOX Based on RPA-CRISPR/Cas12a for Rapid On-Site Detection of Foodborne Pathogens.

Analytical chemistry May 13, 2026

Foodborne pathogens present a major threat to global public health. However, conventional detection methods and equipment are often unsuitable for the on-site and timely monitoring of these pathogens. To overcome this critical limitation and establis... read more

Artificial Intelligence Medical Compendium