Artificial Intelligence Medical Compendium

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

Showing 2,501 to 2,510 of 167,235 articles

CoEmoGen: Towards Semantically-Coherent and Scalable Emotional Image Content Generation

arXiv
Emotional Image Content Generation (EICG) aims to generate semantically clear and emotionally faithful images based on given emotion categories, with broad application prospects. While recent text-to-image diffusion models excel at generating concr... read more 

Uncertainty-aware Accurate Elevation Modeling for Off-road Navigation via Neural Processes

arXiv
Terrain elevation modeling for off-road navigation aims to accurately estimate changes in terrain geometry in real-time and quantify the corresponding uncertainties. Having precise estimations and uncertainties plays a crucial role in planning and ... read more 

PreMode predicts mode-of-action of missense variants by deep graph representation learning of protein sequence and structural context.

Nature communications
Accurate prediction of the functional impact of missense variants is important for disease gene discovery, clinical genetic diagnostics, therapeutic strategies, and protein engineering. Previous efforts have focused on predicting a binary pathogenici... read more 

Image space formalism of convolutional neural networks for k-space interpolation.

Magnetic resonance in medicine
PURPOSE: Noise resilience in image reconstructions by scan-specific robust artificial neural networks for k-space interpolation (RAKI) is linked to nonlinear activations in k-space. To gain a deeper understanding of this relationship, an image space ... read more 

Diffusion Once and Done: Degradation-Aware LoRA for Efficient All-in-One Image Restoration

arXiv
Diffusion models have revealed powerful potential in all-in-one image restoration (AiOIR), which is talented in generating abundant texture details. The existing AiOIR methods either retrain a diffusion model or fine-tune the pretrained diffusion m... read more 

PatchDSU: Uncertainty Modeling for Out of Distribution Generalization in Keyword Spotting

arXiv
Deep learning models excel at many tasks but rely on the assumption that training and test data follow the same distribution. This assumption often does not hold in real-world speech systems, where distribution shifts are common due to varying envi... read more 

Development and Validation of DIANA (Diabetes Novel Subgroup Assessment tool): A web-based precision medicine tool to determine type 2 diabetes endotype membership and predict individuals at risk of microvascular disease.

PLOS digital health
BACKGROUND: Previous research has identified four distinct endotypes of type 2 diabetes in Asian Indians, which include Severe Insulin Deficient Diabetes (SIDD), Combined Insulin Resistant and Deficient Diabetes (CIRDD), Insulin Resistance and Obese ... read more 

Subsecond Analysis of Locomotor Activity in Parkinsonian Mice.

eNeuro
The degeneration of midbrain dopamine (DA) neurons disrupts the neural control of natural behavior, such as walking, posture, and gait in Parkinson's disease. While some aspects of motor symptoms can be managed by DA replacement therapies, others res... read more 

The assessment of ChatGPT-4's performance compared to expert's consensus on chronic lateral ankle instability.

Journal of experimental orthopaedics
PURPOSE: To evaluate the accuracy of answers to clinical questions on the surgical treatment of chronic lateral ankle instability (CLAI) using ChatGPT-4 as a reference for consensus statements developed by the ESSKA-AFAS Ankle Instability Group (AIG)... read more 

Predicting Chemotherapy-Induced Peripheral Neuropathy Using Transformer-Based Multimodal Deep Learning.

Research (Washington, D.C.)
Chemotherapy-induced peripheral neuropathy (CIPN) is a common and debilitating adverse effect of cancer treatment that substantially impairs patients' quality of life and may lead to dose reduction or treatment discontinuation. Traditional predictio... read more