Artificial Intelligence Medical Compendium

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

Showing 2,451 to 2,460 of 167,235 articles

AgentSME for Simulating Diverse Communication Modes in Smart Education

arXiv Aug 5, 2025
Generative agent models specifically tailored for smart education are critical, yet remain relatively underdeveloped. A key challenge stems from the inherent complexity of educational contexts: learners are human beings with various cognitive behav... read more 
Artificial Intelligence

Partial feature reparameterization and shallow-level interaction for remote sensing object detection.

Scientific reports Aug 5, 2025
Remote sensing object detection has recently emerged as one of the challenging topics in the field of deep learning applications due to the demand for both high detection performance and computational efficiency. To address these problems, this study... read more 

Multi-Granularity Feature Calibration via VFM for Domain Generalized Semantic Segmentation

arXiv Aug 5, 2025
Domain Generalized Semantic Segmentation (DGSS) aims to improve the generalization ability of models across unseen domains without access to target data during training. Recent advances in DGSS have increasingly exploited vision foundation models (... read more 
Computer Vision and Pattern Recognition

Quantum Neural Network applications to Protein Binding Affinity Predictions

arXiv Aug 5, 2025
Binding energy is a fundamental thermodynamic property that governs molecular interactions, playing a crucial role in fields such as healthcare and the natural sciences. It is particularly relevant in drug development, vaccine design, and other bio... read more 
Quantum Physics Machine Learning

Imaging in clinical trials of rheumatoid arthritis: where are we in 2025?

Skeletal radiology Aug 5, 2025
Accurate detection and assessment of inflammatory activity is crucial not only for diagnosing patients with rheumatoid arthritis but also for effective monitoring of treatment effect. Ultrasound and magnetic resonance imaging (MRI) have both been sho... read more 

ActionSink: Toward Precise Robot Manipulation with Dynamic Integration of Action Flow

arXiv Aug 5, 2025
Language-instructed robot manipulation has garnered significant interest due to the potential of learning from collected data. While the challenges in high-level perception and planning are continually addressed along the progress of general large ... read more 
Computer Vision and Pattern Recognition

Developing a code of ethics in health information management.

Health information management : journal of the Health Information Management Association of Australia Aug 5, 2025
An effective strategy for promoting ethics within organisations is to establish clear guidelines that outline acceptable behaviours in different situations through a code of ethics. In the field of health information management (HIM), a code of ethi... read more 

Improving Phase Stability of α-CsPbI through Combined Strain-Doping Engineering: Insights from First-Principles Calculations and Machine Learning.

ACS applied materials & interfaces Aug 5, 2025
The all-inorganic perovskite of cubic CsPbI (α-CsPbI) exhibited high thermal stability, owing to the absence of volatile organic cations. However, the poor phase stability at room temperature limits its practical applications. In this work, the phase... read more 

ReDSM5: A Reddit Dataset for DSM-5 Depression Detection

arXiv Aug 5, 2025
Depression is a pervasive mental health condition that affects hundreds of millions of individuals worldwide, yet many cases remain undiagnosed due to barriers in traditional clinical access and pervasive stigma. Social media platforms, and Reddit ... read more 
Computation and Language

CoPS: Conditional Prompt Synthesis for Zero-Shot Anomaly Detection

arXiv Aug 5, 2025
Recently, large pre-trained vision-language models have shown remarkable performance in zero-shot anomaly detection (ZSAD). With fine-tuning on a single auxiliary dataset, the model enables cross-category anomaly detection on diverse datasets cover... read more 
Computer Vision and Pattern Recognition
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