Artificial Intelligence Medical Compendium

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

Showing 35,171 to 35,180 of 222,841 articles

Predicting Longitudinal Caries Trajectories from Childhood to Early Adulthood.

Journal of dental research
Prior studies have used traditional trajectory analyses to classify caries progression; however, none have applied machine learning (ML) to predict caries trajectories from childhood to early adulthood. The aims of our study are 1) to use unsupervise... read more 

Data-Driven Tooth Selection Enhances Partial-Mouth Periodontal Screening.

Journal of dental research
The high prevalence of periodontitis has imposed a significant global disease burden. Epidemiologic surveys rely on full-mouth periodontal examination (FMPE) or partial-mouth periodontal examination (PMPE). While FMPE is resource-intensive, the effic... read more 

Feasibility study of ultrasound-guided, power-assisted needle insertion for hemodialysis cannulation using an innovative, handheld device.

The journal of vascular access
BACKGROUND: Vascular access (VA) for hemodialysis is achieved through arteriovenous fistulas (AVF), arteriovenous grafts (AVG), or central venous access devices (CVAD). Hemodialysis remains the most common modality of kidney replacement therapy, and ... read more 

Intelligent classification of dominant tree species in urban forests based on UAV hyperspectral remote sensing images.

iScience
Urban tree species classification is essential for green space management but is challenged by the fragmented spatial distributions of trees. To address this issue, this study employs a hyperspectral imagery-based classification method to improve the... read more 

Multimodal multicentre investigation of diagnostic and prognostic markers in disorders of consciousness.

Brain : a journal of neurology
Severely brain-injured patients may enter a spectrum of conditions collectively known as disorders of consciousness. This spectrum includes clinical conditions such as unresponsive wakefulness syndrome or minimally conscious state, where the behaviou... read more 

Harnessing Hyperbolic Geometry for Harmful Prompt Detection and Sanitization

arXiv
Vision-Language Models (VLMs) have become essential for tasks such as image synthesis, captioning, and retrieval by aligning textual and visual information in a shared embedding space. Yet, this flexibility also makes them vulnerable to malicious pro... read more 

Telescope: Learnable Hyperbolic Foveation for Ultra-Long-Range Object Detection

arXiv
Autonomous highway driving, especially for long-haul heavy trucks, requires detecting objects at long ranges beyond 500 meters to satisfy braking distance requirements at high speeds. At long distances, vehicles and other critical objects occupy only... read more 

Occlusion Handling by Pushing for Enhanced Fruit Detection

arXiv
In agricultural robotics, effective observation and localization of fruits present challenges due to occlusions caused by other parts of the tree, such as branches and leaves. These occlusions can result in false fruit localization or impede the robo... read more 

Evidence-Based Actor-Verifier Reasoning for Echocardiographic Agents

arXiv
Echocardiography plays an important role in the screening and diagnosis of cardiovascular diseases. However, automated intelligent analysis of echocardiographic data remains challenging due to complex cardiac dynamics and strong view heterogeneity. I... read more 

DietDelta: A Vision-Language Approach for Dietary Assessment via Before-and-After Images

arXiv
Accurate dietary assessment is critical for precision nutrition, yet most image-based methods rely on a single pre-consumption image and provide only coarse, meal-level estimates. These approaches cannot determine what was actually consumed and often... read more