AI Medical Compendium

Validation of MRI-based nnU-Net model for automated segmentation of neck lymph nodes in head and neck squamous cell carcinoma: a multicenter study.

Neuroradiology Jun 20, 2026

PURPOSE: To develop and externally validate an MRI-based deep learning framework for automated 3D segmentation of neck lymph nodes (LNs) in head and neck squamous cell carcinoma (HNSCC), and to assess segmentation accuracy, volumetric agreement, and ... read more

Large language model applications in facial plastic and reconstructive surgery: a systematic review of applications, performance, and ethical considerations.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Jun 20, 2026

BACKGROUND: Artificial intelligence (AI)-powered large language models (LLMs) are increasingly used as adjunctive tools in education, research, and patient care. This systematic review aimed to investigate the current literature on the applications, ... read more

Artificial intelligence-based phenotypic screening using Aspergillus oryzae identified a novel antifungal RK-1205-I.

The Journal of antibiotics Jun 19, 2026

When treated with various compounds, fungi exhibit characteristic morphological changes depending on their mode of action. Previously, we constructed morphology-based databases of the rice blast fungus Pyricularia oryzae and human pathogenic fungus C... read more

Biomimetic ferroelectric-semiconductor transistor enables neuronal multisensory integration.

Nature communications Jun 20, 2026

Human brain seamlessly integrates multisensory stimuli to synthesize complementary information for enhanced perceptions, depending on neural principles of superadditivity, inverse effectiveness, and temporal congruency. Replicating multisensory integ... read more

Integrative multi-omics analysis and machine learning identify M2 macrophage-induced ferroptosis resistance in glioblastoma.

Functional & integrative genomics Jun 20, 2026

Glioblastoma (GBM) is characterized by profound intratumoral heterogeneity and an immunosuppressive microenvironment that drive therapeutic resistance and poor prognosis. While both tumor-associated macrophages (TAMs) and ferroptosis have been implic... read more

Online Sepsis Prediction Using Vital Signs and Multiscale Temporal-Aware Contrastive Learning: Model Development and Validation Study.

JMIR medical informatics Jun 19, 2026

BACKGROUND: Real-time prediction of sepsis is a critical yet highly challenging task. Existing studies face 2 major limitations. First, they often rely on laboratory test results that are not readily available in real time, making timely diagnosis di... read more

Artificial intelligence industrial agglomeration and innovation in key green technologies: Evidence from China.

Journal of environmental management Jun 19, 2026

Innovation in key green technologies (KGTI) serves as a critical pillar for promoting green development. Based on panel data of Chinese listed firms from 2011 to 2022, the degree of corporate KGTI breakthroughs is measured using an improved TF-IDF me... read more

An interpretable attention-based TabTransformer framework with feature fusion for green architecture classification.

Scientific reports Jun 19, 2026

In this study, we propose a deep learning-based transformer framework for the automated classification of green vs non-green architecture to analyze environmental effects. The environmental significance of this research work lies in enhancing sustain... read more

Combination of color-Doppler ultrasound and MRI to improve lacrimal gland lesion characterization: A machine learning approach.

Diagnostic and interventional imaging Jun 19, 2026

PURPOSE: The purpose of this study was to develop a machine learning-based algorithm based on a combination of magnetic resonance imaging (MRI) and color-Doppler ultrasound (CDUS) to characterize lacrimal gland lesions. MATERIALS AND METHODS: All pat... read more

Photonics-Integrated and AI-Enhanced Medical Sensing: From Molecular Diagnostics to Real-Time Cell Therapy Monitoring.

Progress in biophysics and molecular biology Jun 19, 2026

Over the past two decades, photonic sensing has transitioned from laboratory concepts to clinically relevant tools for disease detection and treatment guidance, driven by the convergence of nanotechnology, artificial intelligence (AI), and advanced f... read more

Artificial Intelligence Medical Compendium