AI Medical Compendium

EEG-MedRAG: Enhancing EEG-based Clinical Decision-Making via Hierarchical Hypergraph Retrieval-Augmented Generation

arXiv Aug 19, 2025

With the widespread application of electroencephalography (EEG) in neuroscience and clinical practice, efficiently retrieving and semantically interpreting large-scale, multi-source, heterogeneous EEG data has become a pressing challenge. We propos... read more

Computation and Language

Exploring the Perspectives of Pediatric Health Care Providers, Youth Patients, and Caregivers on Machine Learning Suicide Risk Classification: Mixed Methods Study.

Journal of medical Internet research Aug 19, 2025

BACKGROUND: Suicide was the second leading cause of death for youth aged between 10 and 24 years in 2023, necessitating improved risk identification to better identify those in need of support. While machine learning (ML) applied to electronic health... read more

FLAIR: Frequency- and Locality-Aware Implicit Neural Representations

arXiv Aug 19, 2025

Implicit Neural Representations (INRs) leverage neural networks to map coordinates to corresponding signals, enabling continuous and compact representations. This paradigm has driven significant advances in various vision tasks. However, existing I... read more

Computer Vision and Pattern Recognition Artificial Intelligence

Endothelin-1 in combination with CRB-65 enhance risk stratification in COVID-19 patients.

Infection Aug 19, 2025

BACKGROUND: COVID-19 continuously causes severe disease conditions and significant mortality. We evaluate whether easily accessible biomarkers can improve risk prediction of severe disease outcomes. read more

Transforming sepsis management: AI-driven innovations in early detection and tailored therapies.

Critical care (London, England) Aug 19, 2025

Sepsis remains a leading cause of mortality worldwide, driven by its clinical complexity and delayed recognition. Artificial intelligence (AI) offers promising solutions to improve sepsis care through earlier detection, risk stratification, and perso... read more

Precision Medicine Sepsis Humans Artificial Intelligence Early Diagnosis

A high-resolution, nanopore-based artificial intelligence assay for DNA replication stress in human cancer cells.

Nature communications Aug 19, 2025

DNA replication stress is a hallmark of cancer that is exploited by chemotherapies. Current assays for replication stress have low throughput and poor resolution whilst being unable to map the movement of replication forks genome-wide. We present a n... read more

Poly (ADP-Ribose) Polymerase-1 Hydroxyurea Ataxia Telangiectasia Mutated Proteins Neoplasms Cell Cycle Proteins Cell Line, Tumor Nanopore Sequencing S Phase Protein-Tyrosine Kinases Nanopores Colonic Neoplasms Artificial Intelligence DNA Replication Melanoma Humans

OSFormer: One-Step Transformer for Infrared Video Small Object Detection.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Aug 19, 2025

Infrared video small object detection is pivotal in numerous security and surveillance applications. However, existing deep learning-based methods, which typically rely on a two-step paradigm of frame-by-frame detection followed by temporal refinemen... read more

Insights and Outlook from the First Ethical, Legal, and Social Implication Symposium of the BBMRI-ERIC Academy at International Agency for Research on Cancer/World Health Organization.

Biopreservation and biobanking Aug 19, 2025

The first Biobanking and BioMolecular resources Research Infrastructure-Academy Ethical, Legal, and Social Implications (ELSI)'s Symposium, held in June 2024 at IARC/WHO in Lyon, explored ethical, legal, and societal dimensions of biobanking and biom... read more

Predicting cancer risk using machine learning on lifestyle and genetic data.

Scientific reports Aug 19, 2025

Cancer remains one of the leading causes of mortality worldwide, where early detection significantly improves patient outcomes and reduces treatment burden. This study investigates the application of Machine Learning (ML) techniques to predict cancer... read more

Support Vector Machine Life Style Neoplasms Genetic Predisposition to Disease Adult Male Middle Aged Risk Assessment Risk Factors Humans Aged Machine Learning Algorithms Female

Spatio-temporal learning from molecular dynamics simulations for protein-ligand binding affinity prediction.

Bioinformatics (Oxford, England) Aug 19, 2025

MOTIVATION: The field of protein-ligand binding affinity prediction continues to face significant challenges. While deep learning (DL) models can leverage 3D structural information of protein-ligand complexes, they perform well only on heavily biased... read more

Artificial Intelligence Medical Compendium