Artificial Intelligence Medical Compendium

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

Showing 9,431 to 9,440 of 208,566 articles

Measuring Radiology's Impact: Core Concepts for Tracking Patient-Oriented Outcomes and Delivering High-Value Care-A Perspective by the ACR's Relevance and Impact Committee.

AJR. American journal of roentgenology
Radiology strongly impacts patient care. However, radiologists' potential to promote high-value care has long been underappreciated, partly related to difficulties in establishing their role in driving patient-oriented outcomes (e.g., reduced morbidi... read more 

Application of Sparse Autoencoders to Enhance Mechanistic Interpretability of Large Language Models in Medicine.

JMIR AI
Large language models (LLMs) are being increasingly incorporated into clinical workflows due to their ability to synthesize medical knowledge and support diagnosis and treatment planning. However, their opaque internal decision-making processes limit... read more 

Adaptive and multi-scale feature fusion for Chinese news headline classification.

PloS one
The rapid growth of online news has led to an explosion of short Chinese headlines, which often suffer from sparse features, limited context, and high ambiguity-posing significant challenges for accurate classification. To address these issues, this ... read more 

Coral restoration alters reef soundscapes but machine learning and manual analyses suggest different recovery rates.

PloS one
Coral restoration is recognised as a critical tool to mitigate pantropical degradation of reef ecosystems. Robust monitoring of restoration progress is crucial for projects to evaluate their success, improve practice, and share knowledge. However, tr... read more 

Transformation of artistic style and innovative design of oriental folk patterns based on AIGC Technology-A case study of Zhuxian town new year paintings from China.

PloS one
In response to the limited cross-domain innovation in the digitalization of traditional oriental folk art, this study takes the New Year pictures of China's Zhuxian Town as a case. It develops a collaborative technical framework of combining the Libl... read more 

Genome-wide analysis of the invasive fungal pathogen Neopestalotiopsis reveals high genomic diversity, effector repertoires, and the assessment of fungicide resistance risks.

PloS one
Neopestalotiopsis species (spp.) have recently emerged as major pathogens worldwide, causing leaf spot, fruit rot, and crown rot of strawberry, resulting in increased disease outbreaks and economic losses. Despite their increasing impact, there is a ... read more 

Gene-Environment Interactions in Predicting Self-Harm: A Machine Learning Approach Using Explainable Artificial Intelligence.

Archives of suicide research : official journal of the International Academy for Suicide Research
BACKGROUND: Self-harm is a critical public health concern; nevertheless, the complex interplay between genetic predispositions and environmental factors in self-harm remains poorly understood. METHODS: This study employed data from 156,873 participan... read more 

A taxonomy for detecting and preventing temporal data leakage in machine learning-based build prediction: A dual-platform empirical validation.

PloS one
Modern software development relies on automated build systems that compile and test code whenever developers make changes. Predicting whether these builds will succeed or fail before execution could save computational resources and developer time. Ho... read more 

The impact of university students' computational thinking on AI literacy: A longitudinal study based on SEM-PLS.

PloS one
Artificial intelligence literacy is a core competency that underpins individual development. Although previous studies have demonstrated a cross-sectional association between computational thinking and artificial intelligence literacy, there has been... read more