Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 1,111 to 1,120 of 213,401 articles

A clinically interpretable model for predicting pharyngocutaneous fistula after total laryngectomy.

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
BACKGROUND: Pharyngocutaneous fistula (PCF) is a frequent complication following total laryngectomy. While various risk models exist, their practical utility is often limited by poor calibration and a lack of guidance on modifiable risk factors. This... read more 

Comprehensive evaluation of angiogenesis-associated genes in papillary thyroid cancer using bulk RNA and single-cell sequencing data.

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
OBJECTIVE: The objective of this study is to explore the expression patterns of angiogenesis-related genes in papillary thyroid cancer (PTC) to enhance understanding of the molecular mechanisms underlying angiogenesis in this malignancy. The findings... read more 

Real-world diagnostic and management decisions in rhinology by a large language model: a retrospective study.

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
BACKGROUND: Large language models (LLMs) have shown promising performance in medical knowledge assessment; however, their capacity to assist real-world clinical decision-making in rhinology, particularly when integrating clinical, endoscopic, and rad... read more 

Digital twins: a call for an under-developed tool in otolaryngology-head and neck surgery.

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
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ChatGPT vs. multidisciplinary team decisions in auditory implantation: a concordance analysis of implant type and side selection.

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
INTRODUCTION: Auditory implantation is a standard rehabilitation strategy for patients with severe hearing loss, and candidacy determination requires a multidisciplinary, multidimensional evaluation. With the increasing clinical use of artificial int... read more 

Graph-augmented transformer networks and explainable AI for economic impact forecasting in disrupted supply chains.

Scientific reports
This study proposes a hybrid AI model which integrates Graph Neural Networks and Transformer models to predict the economic consequence of the disruption of the supply chains with unprecedented accuracy (MAPE: 3.7%). The framework is based on multi-d... read more 

Training Deep Learning Based Dynamic MR Image Reconstruction Using Synthetic Fractals.

Magnetic resonance in medicine
PURPOSE: To investigate whether synthetically generated fractal data can be used to train deep learning (DL) models for dynamic MRI reconstruction, thereby avoiding the privacy, licensing, and availability limitations associated with cardiac MR train... read more 

Chalcogen Impurity Barriers in 2D Systems via Semi-Empirical/Machine Learning Modeling: A Survey of 4000 Materials.

Journal of chemical theory and computation
Adequate characterization of two-dimensional (2D) materials with low energy barriers for impurity adsorption is key for advancing applications based on catalysis, sensing, and surface functionalization. However, first-principles methods, such as dens... read more 

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring.

Advanced healthcare materials
Bone regeneration in orthopedics is a great challenge, as efficient recovery affects patient's quality of life. Common methods encounter different limitations regarding diagnosis, implantation, and bone health monitoring. Recent advances in artificia... read more 

Going beyond Conventional Catalytic Oxidation of Formaldehyde via Machine-Learning-Accelerated Design of Oxide-Silver Tandem Catalysts.

Environmental science & technology
Designing high-performance catalysts for efficient HCHO oxidation under mild conditions is essential, yet remains challenging to achieve through conventional experimental screening. Here, we present a machine-learning-accelerated strategy for designi... read more