Artificial Intelligence Medical Compendium

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

Showing 51 to 60 of 212,294 articles

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 Jul 19, 2026
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 

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 Jul 19, 2026
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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 Jul 19, 2026
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 

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 Jul 19, 2026
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 

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 Jul 19, 2026
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 

Symbolic and domain-generalized machine learning for interpretable solubility modeling in supercritical CO₂.

Scientific reports Jul 19, 2026
Accurate prediction of drug solubility in supercritical CO₂ remains challenging due to the limited generalizability of compound-specific correlations and the black-box nature of most machine learning models. This study proposes a domain-aware symboli... read more 

Adaptive test-time augmentation via KL-regularized reinforcement learning for robust visual inference.

Scientific reports Jul 19, 2026
Deep neural networks often suffer significant accuracy degradation when exposed to real-world image corruptions and distribution shifts. To overcome the limitations of fixed, input-agnostic test-time augmentation (TTA), an adaptive framework is propo... read more 

Physics-informed multi-task learning for permeability prediction and probabilistic HFU modeling: a case study from the Lower Bahariya Reservoir, Shahd SE field Egypt.

Scientific reports Jul 19, 2026
Accurate permeability prediction is essential for reliable reservoir characterization and simulation, yet remains challenging due to complex nonlinear relationships and subsurface heterogeneity. Conventional hydraulic flow unit (HFU) methods rely on ... read more 

Model evaluation for automated scoring of electropenetrography waveform data from mosquitoes.

Scientific reports Jul 19, 2026
Electropenetrography (EPG) is a powerful tool for quantifying how arthropods interact with their hosts, but manually labeling EPG feeding behavior waveforms is subjective, labor-intensive, and time-consuming. Machine-learning models for supervised cl... read more 

An evidence informed framework for artificial intelligence in rare breast cancers using small cohort validation synthetic data practices and clinical governance.

Discover oncology Jul 19, 2026
Rare breast cancers represent a clinically important but underrepresented group of malignancies. In this Perspective, rare breast cancers are considered within the broader rare cancer definition of an annual incidence below 6 cases per 100,000 person... read more 
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