Artificial Intelligence Medical Compendium

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

Showing 62,971 to 62,980 of 230,760 articles

SimpleMatch: A Simple and Strong Baseline for Semantic Correspondence

arXiv
Recent advances in semantic correspondence have been largely driven by the use of pre-trained large-scale models. However, a limitation of these approaches is their dependence on high-resolution input images to achieve optimal performance, which resu... read more 

DepthCropSeg++: Scaling a Crop Segmentation Foundation Model With Depth-Labeled Data

arXiv
DepthCropSeg++: a foundation model for crop segmentation, capable of segmenting different crop species under open in-field environment. Crop segmentation is a fundamental task for modern agriculture, which closely relates to many downstream tasks suc... read more 

CD-TWINSAFE: A ROS-enabled Digital Twin for Scene Understanding and Safety Emerging V2I Technology

arXiv
In this paper, the CD-TWINSAFE is introduced, a V2I-based digital twin for Autonomous Vehicles. The proposed architecture is composed of two stacks running simultaneously, an on-board driving stack that includes a stereo camera for scene understandin... read more 

Automated Assessment of OSCE Physical Exams using Multimodal AI

medRxiv
Background The assessment of physical examination skills in medical education is resource-intensive and prone to inter-rater variability. While artificial intelligence (AI) has successfully automated the grading of clinical notes and transcripts, eva... read more 

Machine learning-enabled metabolomics for geographical authentication of Lonicera japonica via UHPLC-Q-TOF-MS/MS and SHAP interpretation.

Food chemistry
Geographical traceability is vital for ensuring the authenticity and quality of food and medicinal plants. Lonicera japonica Thunb. (Jinyinhua, JYH) is widely consumed for its pharmacological and nutritional benefits, yet its quality is strongly orig... read more 

Learning frequency-aware graph fraud detection.

Neural networks : the official journal of the International Neural Network Society
Graph Fraud Detection (GFD) has become a critical task in online systems such as financial networks, review platforms, and social media, where fraudulent behaviors are inherently rare and often embedded within benign communities. Graph Neural Network... read more 

GIN-transformer based pairwise graph contrastive learning framework.

Neural networks : the official journal of the International Neural Network Society
Resting-state functional magnetic resonance imaging (rs-fMRI) provides critical biomarkers for diagnosing neuropsychiatric disorders such as autism spectrum disorder (ASD) and major depressive disorder (MDD). However, existing deep learning models he... read more 

Global inland waters trophic status from space observation: scientific advances and future challenges.

Water research
Inland waters represent a significant share of the global freshwater resources and can have a profound impact on global climate and human well-being. By 2050, the world's population is expected to reach 9.7 billion, and one in four people is expected... read more 

Avocado ripeness classification using handheld Raman spectroscopy: addressing data imbalance with machine learning and resampling techniques.

Food chemistry
Food waste is a global concern, partially caused by destructive testing and inaccurate visual inspections that misclassify quality. This study developed a machine learning-assisted handheld Raman spectroscopy for non-destructive classification of avo... read more 

Interpretable machine learning model for predicting in-hospital mortality in elderly acute pancreatitis: Development and validation in a multicenter cohort.

International journal of medical informatics
BACKGROUND: Elderly acute pancreatitis (AP) patients face significantly higher in-hospital all-cause mortality, highlighting the need for effective risk stratification to support timely clinical decision-making. METHODS: We conducted a multicenter re... read more