Artificial Intelligence Medical Compendium

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

Showing 721 to 730 of 159,839 articles

Deep learning-based delineation of whole-body organs at risk empowering adaptive radiotherapy.

BMC medical informatics and decision making Jul 15, 2025
BACKGROUND: Accurate delineation of organs at risk (OARs) is crucial for precision radiotherapy. Most previous autosegmentation models were only constructed for single anatomical region without evaluation of dosimetric impact. We aimed to validate th... read more 
Radiotherapy Planning, Computer-Assisted Deep Learning Organs at Risk Humans

Detección y Cuantificación de Erosión Fluvial con Visión Artificial

arXiv Jul 15, 2025
Fluvial erosion is a natural process that can generate significant impacts on soil stability and strategic infrastructures. The detection and monitoring of this phenomenon is traditionally addressed by photogrammetric methods and analysis in geogra... read more 
Computer Vision and Pattern Recognition

A Learning Framework For Cooperative Collision Avoidance of UAV Swarms Leveraging Domain Knowledge

arXiv Jul 15, 2025
This paper presents a multi-agent reinforcement learning (MARL) framework for cooperative collision avoidance of UAV swarms leveraging domain knowledge-driven reward. The reward is derived from knowledge in the domain of image processing, approxima... read more 
Multiagent Systems Machine Learning Robotics

A hybrid framework of generative deep learning for antiviral peptide discovery.

Scientific reports Jul 15, 2025
Antiviral peptides (AVPs) hold great potential for combating viral infections, yet their discovery and development remain challenging. In this study, we present a hybrid model combining Wasserstein Generative Adversarial Networks with Gradient Penalt... read more 
Humans Peptides Deep Learning Antiviral Agents Drug Discovery Influenza A virus

Journalism-Guided Agentic In-Context Learning for News Stance Detection

arXiv Jul 15, 2025
As online news consumption grows, personalized recommendation systems have become integral to digital journalism. However, these systems risk reinforcing filter bubbles and political polarization by failing to incorporate diverse perspectives. Stan... read more 
Computation and Language

Leveraging computational linguistics and machine learning for detection of ultra-high risk of mental health disorders in youths.

Schizophrenia (Heidelberg, Germany) Jul 15, 2025
Mental illnesses often manifest through behavioral changes, with speech serving as a key medium for expressing thoughts and emotions. The use of computational linguistics on speech data in mental illnesses is a promising approach to uncover objective... read more 

Prediction of pathogenic mutations in human transmembrane proteins and their associated diseases via utilizing pre-trained Bio-LLMs.

Communications biology Jul 15, 2025
Missense mutations can disrupt the structure and function of membrane proteins, potentially impairing key biological processes and leading to various human diseases. However, existing computational methods primarily focus on binary pathogenicity clas... read more 
Mutation Humans Deep Learning Mutation, Missense Computational Biology Membrane Proteins

Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images.

Scientific reports Jul 15, 2025
Birth complications, particularly jaundice, are one of the leading causes of adolescent death and disease all over the globe. The main severity of these illnesses may diminish if scholars study more about their sources and progress toward effective t... read more 
Humans Machine Learning Infant, Newborn Deep Learning Algorithms Female Jaundice, Neonatal Extreme Learning Machines Image Processing, Computer-Assisted

Combined Study of Behavior and Spike Discharges Associated with Negative Emotions in Mice.

Neuroscience bulletin Jul 15, 2025
In modern society, people are increasingly exposed to chronic stress, leading to various mental disorders. However, the activities of brain regions, especially neural firing patterns related to specific behaviors, remain unclear. In this study, we in... read more 

Development and external validation of a machine learning model for predicting drug-induced immune thrombocytopenia in a real-world hospital cohort.

BMC medical informatics and decision making Jul 15, 2025
BACKGROUND: Drug-induced immune thrombocytopenia (DITP) is a rare but potentially life-threatening adverse drug reaction, often underrecognized due to its nonspecific presentation and the lack of real-time diagnostic tools. Early identification of at... read more 
Drug-Related Side Effects and Adverse Reactions Purpura, Thrombocytopenic, Idiopathic Adult Male Middle Aged Risk Assessment Female Humans Aged Machine Learning Electronic Health Records Retrospective Studies
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