AI Medical Compendium

Assessment of various artificial intelligence applications' performance in responding to multiple-choice endodontics questions.

BMC oral health Jun 3, 2026

BACKGROUND: Artificial intelligence (AI) has emerged as a transformative technology in the domain of healthcare, including endodontics. This study aims to evaluate and compare the performance of six AI chatbots (ScholarGPT, Scholar AI, ChatGPT-4o, Ge... read more

Accurate prediction of mortality in children with sepsis: development and validation of an explainable model based on real-world data.

Italian journal of pediatrics Jun 3, 2026

BACKGROUND: Sepsis remains the leading cause of in-hospital deaths among children, and there is currently a lack of precise early prediction models. This study aimed to develop an interpretable machine learning (IML) model to predict in-hospital mort... read more

PepPharmaHub: a cloud-based platform integrating multimodel language architectures with curated data resources for therapeutic peptide discovery.

BMC biology Jun 3, 2026

BACKGROUND: Therapeutic peptides represent a rapidly expanding class of drug candidates due to their diverse biological activities and high specificity. However, accurately predicting peptide functions directly from sequence information remains a maj... read more

Clinical Applicability of Artificial Intelligence-Driven Implant Planning and Surgical Guide Design in the Maxillary Esthetic Zone: A Registry-Based Cohort Study.

Clinical oral implants research Jun 3, 2026

OBJECTIVES: This study evaluated the accuracy, time efficiency, and workflow consistency of artificial intelligence (AI)-assisted versus human expert (HI) implant planning in the esthetic anterior maxilla. MATERIAL AND METHODS: Thirty-five single-too... read more

Multi-omics biomarkers in endometrial receptivity: from mechanisms to clinical translation.

Journal of translational medicine Jun 3, 2026

BACKGROUND: Endometrial receptivity (ER) serves as a critical determinant for successful embryo implantation, yet its molecular complexity and limited clinical assessment methods pose significant challenges. Despite advancements in assisted reproduct... read more

EXPRESS: Transcriptome profiling and experimental validation identify FOS, RAC2, and TYROBP as potential biomarkers for Fu's subcutaneous needling in neuropathic pain treatment.

Molecular pain Jun 3, 2026

BACKGROUND: This study aimed to explore potential biomarkers and mechanisms underlying in the treatment of neuropathic pain(NP) with Fu's subcutaneous needling(FSN), employing a transcriptomics approach. METHODS: In this study, RNA sequencing was per... read more

Integrating van't Hoff Equation with Artificial Neural Network for the Prediction of H2S Solubility in Ionic Liquids.

The journal of physical chemistry. B Jun 3, 2026

Accelerating the discovery of high-performance ionic liquids (ILs) for hydrogen sulfide (H2S) capture is hindered by the prohibitive cost of experimental screening and the limited generalization capability of purely data-driven machine learning model... read more

Performance of Vision-Enabled Large Language Models in Image-Based Electrocardiogram Interpretation: Exploratory Evaluation.

Journal of medical Internet research Jun 3, 2026

BACKGROUND: Vision-enabled large language models (VE-LLMs) have the potential to provide flexible and explainable medical image interpretation. However, their real-world performance on clinical data, such as 12-lead electrocardiograms (ECGs), has not... read more

A multiscale attention network for mixed artifact suppression in AFM images.

Micron (Oxford, England : 1993) Jun 3, 2026

Accurate nanoscale characterization with Atomic Force Microscopy (AFM) is frequently hindered by complex mixed noise, particularly directional line artifacts and stochastic scars that stem from the instrument's electromechanical noise and feedback in... read more

AI and computer vision for wildlife identification in camera trap images: Fine-tuning SpeciesNet outperforms local models for species classification.

The Science of the total environment Jun 3, 2026

Wildlife camera traps generate millions of images that exceed the capacity of manual processing. Computer vision (CV), a branch of artificial intelligence (AI) and machine learning (ML), helps ecologists process images efficiently. The CV workflow ge... read more

Artificial Intelligence Medical Compendium