Artificial Intelligence Medical Compendium

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

Showing 44,251 to 44,260 of 224,055 articles

Updated Policy on the Use of Artificial Intelligence for the Journal of Neurosurgical Anesthesiology.

Journal of neurosurgical anesthesiology Mar 6, 2026
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Room-Temperature Trace NO2 Monitoring System Based on Two-Dimensional Heterostructures and Integrated with Deep Learning.

ACS sensors Mar 6, 2026
Accurate detection of trace NO2 at room temperature is crucial for air quality control and the early diagnosis of respiratory diseases. High-precision detection of low-concentration gases has long been a research focus, with material optimization and... read more 

[Artificial intelligence in the prevention and management for oral diseases: status, challenges, and future prospects].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology Mar 6, 2026
Oral diseases are among the most prevalent non-communicable diseases worldwide. They not only pose significant threats to oral health but also closely link to systemic conditions, thereby creating a substantial burden on socioeconomic development. Wh... read more 

[Exploring the therapeutic targets and molecular mechanisms of pimecrolimus in the treatment of oral lichen planus based on network pharmacology, machine learning, and molecular docking].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology Mar 6, 2026
Objective: To systematically investigate the potential targets and therapeutic mechanisms of pimecrolimus in the treatment of oral lichen planus (OLP) using network pharmacology, machine learning, and molecular docking approaches. Methods: Pimecrolim... read more 

[Evaluation of Chinese artificial intelligence large language models in oral mucosal disease consultation].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology Mar 6, 2026
Objective: To investigate the current application status and potential of artificial intelligence (AI) large language models (LLMs) in oral mucosal disease health consultation. Methods: A questionnaire survey was conducted to inform the utilization o... read more 

[Deep learning-based assessment of periodontal ligament area changes in maxillary central incisors under different orthodontic regimens using cone-beam CT images].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology Mar 6, 2026
Objective: To investigate the differences in the changes of periodontal ligament area (PDLA) and related clinical indicators before and after maxillary central incisor movement under different orthodontic treatment regimens. Methods: This study was d... read more 

Decoding organ fibrosis: mechanistic insights and emerging therapeutic strategies.

Signal transduction and targeted therapy Mar 6, 2026
Fibrosis is a maladaptive pathophysiological process characterized by excessive deposition of extracellular matrix resulting from dysregulated tissue repair responses. Fibrosis can affect nearly all organ systems, such as the lung, heart, liver, and ... read more 

Rejoining fragmented ancient bamboo slips with physics-driven deep learning.

Nature communications Mar 6, 2026
Bamboo slips are a crucial medium for recording ancient civilizations in East Asia. However, many excavated bamboo slips have been fragmented into thousands of irregular pieces, making their rejoining a vital yet challenging step for understanding th... read more 

DVS-PedX: Synthetic-and-Real Event-Based Pedestrian Dataset.

Scientific data Mar 6, 2026
Event cameras like Dynamic Vision Sensors (DVS) report micro-timed brightness changes instead of full frames, offering low latency, high dynamic range, and motion robustness. DVS-PedX (Dynamic Vision Sensor Pedestrian eXploration) is a neuromorphic d... read more 

Incremental learning approach for semantic segmentation of skin histology images.

Scientific reports Mar 6, 2026
This study presents an incremental learning framework to enhance the generalization and robustness of transformer-based deep learning models for segmenting skin cancer and related tissue structures. While deep learning models often perform well on da... read more 
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