Artificial Intelligence Medical Compendium

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

Showing 4,841 to 4,850 of 174,202 articles

Comment on 'Exploring the Role of Artificial Intelligence in Skin Cancer Management: Perspectives from UK Dermatologists': A Sustainability Perspective.

Clinical and experimental dermatology Aug 20, 2025
read more 

Enhancing frozen histological section images using permanent-section-guided deep learning with nuclei attention.

Scientific reports Aug 20, 2025
In histological pathology, frozen sections are often used for rapid diagnosis during surgeries, as they can be produced within minutes. However, they suffer from artifacts and often lack crucial diagnostic details, particularly within the cell nuclei... read more 
Humans Deep Learning Image Processing, Computer-Assisted Cell Nucleus Frozen Sections

Early photoreceptor assessment as a predictor for visual acuity gain after vitrectomy for macula-off retinal detachment.

International journal of retina and vitreous Aug 20, 2025
BACKGROUND: Visual recovery after macula-off rhegmatogenous retinal detachment (RRD) remains limited in many cases, largely due to photoreceptor damage. This study aimed to assess the predictive value of early outer retinal findings on optical cohere... read more 

Deep Skin Lesion Segmentation with Transformer-CNN Fusion: Toward Intelligent Skin Cancer Analysis

arXiv Aug 20, 2025
This paper proposes a high-precision semantic segmentation method based on an improved TransUNet architecture to address the challenges of complex lesion structures, blurred boundaries, and significant scale variations in skin lesion images. The me... read more 
Image and Video Processing Computer Vision and Pattern Recognition

A scalable machine learning strategy for resource allocation in database.

Scientific reports Aug 20, 2025
Modern cloud computing systems require intelligent resource allocation strategies that balance quality-of-service (QoS), operational costs, and energy sustainability. Existing deep Q-learning (DQN) methods suffer from sample inefficiency, centralizat... read more 

Interpretable deep learning method to quantify the impact of extreme temperatures on vegetation productivity in China.

Scientific reports Aug 20, 2025
As a key ecological parameter, NPP measures the photosynthetic efficiency of plants in capturing atmospheric carbon. With the warming of the climate, extreme temperature events are frequent, which has exerted a profound influence on NPP. Previous stu... read more 
Neural Networks, Computer Temperature Ecosystem Deep Learning China Plants Climate Change Plant Development Photosynthesis

Locality-aware Concept Bottleneck Model

arXiv Aug 20, 2025
Concept bottleneck models (CBMs) are inherently interpretable models that make predictions based on human-understandable visual cues, referred to as concepts. As obtaining dense concept annotations with human labeling is demanding and costly, recen... read more 
Computer Vision and Pattern Recognition

TransLight: Image-Guided Customized Lighting Control with Generative Decoupling

arXiv Aug 20, 2025
Most existing illumination-editing approaches fail to simultaneously provide customized control of light effects and preserve content integrity. This makes them less effective for practical lighting stylization requirements, especially in the chall... read more 
Computer Vision and Pattern Recognition Artificial Intelligence

State of science: New frontiers in inclusive design and digital health intervention.

Ergonomics Aug 20, 2025
Inclusive design has evolved as a design approach and a research topic in the last three decades. Despite its evolution, there are new frontiers to consider in the context of two phenomena: global ageing populations and the digital transition of serv... read more 

Intelligent resource allocation in internet of things using random forest and clustering techniques.

Scientific reports Aug 20, 2025
The Internet of Things has proliferated, and the number of devices integrated into intelligent networks has made resource management and allocation one of the most critical challenges. The intrinsic constraints of IoT devices, such as energy consumpt... read more 
Popular Topics
Recent Journals