Artificial Intelligence Medical Compendium

Accurate tissue segmentation is crucial for advancing healthcare, particularly in disease prediction and treatment planning. Precisely identifying abnormal tissue locations is a critical step for clinical analysis. While medical image segmentation in... read more 

The potential of Magnetic Resonance Fingerprinting (MRF), which allows for rapid and simultaneous multi-parametric quantitative MRI, is often limited by severe aliasing artifacts caused by aggressive undersampling. Conventional MRF approaches typical... read more 

Source-Free Domain Generalization (SFDG) aims to generalize a model to unknown domains without using any specific source domain data. Currently, SFDG methods mainly use the vision-language large models to extract different style features from text pr... read more 

Drones and other flying objects can be regarded as small targets from a long-distance perspective. Considering the occlusion and interference caused by the external environment, the infrared detection methods are adopted to help identify and manage s... read more 

Cetaceans are important ecosystem sentinels but face growing threats from major disease-related mortality events expected to intensify under climate change. Because both environmental factors and demographics influence health and disease risk, unders... read more 

The surgical removal of impacted mandibular third molars is a routine procedure in oral and maxillofacial surgery but is consistently associated with significant postoperative morbidity. Traditional indices of surgical difficulty rely mainly on posit... read more 

This paper develops a dynamic theoretical model to address the governance of deep-sea debris as a global commons challenge. Drawing analogies from space debris management, the model integrates governance quality, enforcement capacity, and technologic... read more 

The current biodiversity landscape results from hundreds of millions of years of evolution, yet the accumulation of biodiversity has been punctuated by mass extinctions. A key question is how surviving lineages rebuilt diversity after extinction even... read more 

Sustainable bioenergy is pivotal to the global transition from fossil fuels to a circular bioeconomy. However, conventional biomass conversion remains hindered by limitations in efficiency, cost, and versatility. This review examines how recent inter... read more 

PURPOSE: Small cell lung cancer (SCLC) is a highly aggressive malignancy with a high incidence of liver metastases, particularly among elderly patients, which significantly worsens survival outcomes. However, efficient predictive tools targeting this... read more