Artificial Intelligence Medical Compendium

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

Showing 63,111 to 63,120 of 230,760 articles

Point-of-need and portable sensing strategies for quality and safety assessment of Traditional Chinese Medicine products: A critical analytical review.

Analytica chimica acta Jan 17, 2026
Sensor technology has emerged as a transformative tool for point-of-need and portable quality control and safety assessment of Traditional Chinese Medicine (TCM) products. Although separation and detection technologies have improved, there is still a... read more 

Rx Norm for Europe - Toward the representation of medicinal products in the OMOP CDM: Graph visualization and validation of two mapping approaches using the OHDSI USAGI tool and LLM

medRxiv Jan 17, 2026
Medication product names in Swiss electronic health records are heterogeneous and often encode multiple attributes (e.g., ingredient, strength, dose form, packaging) in German free text. This limits interoperability and reduces the utility of ATC cod... read more 
health informatics

CLEAR: An Auditable Foundation Model for Radiology Grounded in Clinical Concepts

medRxiv Jan 17, 2026
"Black box" deep learning models for medical image interpretation limit clinical trust and analysis of performance degradation. Here, we introduce Concept-Level Embeddings for Auditable Radiology (CLEAR), an auditable foundation model based on clinic... read more 
health informatics

Hide and Seek: Privacy-Preserving Artificial Intelligence with a Feasibility Study in Rare Disease Diagnosis

medRxiv Jan 17, 2026
Background: Integrating advanced artificial intelligence (AI) into clinical decision-support often requires the sharing of sensitive patient data with external services, raising privacy concerns. Homomorphic encryption (HE) allows computing directly ... read more 
health informatics

Morphology-Driven Inference of Patient-Specific Pathophysiological States Enables Precision Treatment in Chronic Spontaneous Urticaria

medRxiv Jan 17, 2026
Skin diseases manifest as visually observable eruption patterns, making image-based assessment a central component of dermatological diagnosis. While recent artificial intelligence (AI)-based approaches have achieved remarkable progress in classifyin... read more 
dermatology

Identification and Classification of Expressed Orphan Genes, Spurious Orphan Genes, and Conserved Genes in the Human Gut Microbiome

bioRxiv Jan 17, 2026
Orphan genes - genes lacking detectable homologs outside a species - are widespread in microbial genomes and are thought to contribute to their adaptation and molecular innovation. However, not all predicted orphan genes may represent novel functiona... read more 
genomics

Brain-like dynamics in speech representations can emerge through self-supervised learning

bioRxiv Jan 17, 2026
Speech representations in the human brain do not simply mirror the instantaneous speech signal; rather, they display several properties that are hypothesized to facilitate the integration of speech sounds into words. In particular, neural encodings o... read more 
neuroscience

Adversarial Drift-Aware Predictive Transfer: Toward Durable Clinical AI

arXiv Jan 17, 2026
Clinical AI systems frequently suffer performance decay post-deployment due to temporal data shifts, such as evolving populations, diagnostic coding updates (e.g., ICD-9 to ICD-10), and systemic shocks like the COVID-19 pandemic. Addressing this ``ag... read more 
Applications cs.LG stat.ME

Accelerated MR Elastography Using Learned Neural Network Representation

arXiv Jan 17, 2026
To develop a deep-learning method for achieving fast high-resolution MR elastography from highly undersampled data without the need of high-quality training dataset. We first framed the deep neural network representation as a nonlinear extension of t... read more 
Signal Processing cs.CV cs.LG q-bio.QM

Digital FAST: An AI-Driven Multimodal Framework for Rapid and Early Stroke Screening

arXiv Jan 17, 2026
Early identification of stroke symptoms is essential for enabling timely intervention and improving patient outcomes, particularly in prehospital settings. This study presents a fast, non-invasive multimodal deep learning framework for automatic bina... read more 
Computer Vision and Pattern Recognition
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