Artificial Intelligence Medical Compendium

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

Showing 44,631 to 44,640 of 224,055 articles

Imidazolium Lipid-based Nanoparticles Enable Effective mRNA Delivery and Cellular Immune Response.

Materials today (Kidlington, England)
Imidazolium LipidBrick® cationic lipid nanoparticles (LNPs) provide a pH-independent alternative to conventional ionizable systems for nucleic acid delivery. Through a high-throughput screen of 1,944 formulations spanning eight imidazolium cores, thr... read more 

A Benchmark Study of Neural Network Compression Methods for Hyperspectral Image Classification

arXiv
Deep neural networks have achieved strong performance in image classification tasks due to their ability to learn complex patterns from high-dimensional data. However, their large computational and memory requirements often limit deployment on resour... read more 

Model Medicine: A Clinical Framework for Understanding, Diagnosing, and Treating AI Models

arXiv
Model Medicine is the science of understanding, diagnosing, treating, and preventing disorders in AI models, grounded in the principle that AI models -- like biological organisms -- have internal structures, dynamic processes, heritable traits, obser... read more 

Distribution-Conditioned Transport

arXiv
Learning a transport model that maps a source distribution to a target distribution is a canonical problem in machine learning, but scientific applications increasingly require models that can generalize to source and target distributions unseen duri... read more 

CONE: Embeddings for Complex Numerical Data Preserving Unit and Variable Semantics

arXiv
Large pre-trained models (LMs) and Large Language Models (LLMs) are typically effective at capturing language semantics and contextual relationships. However, these models encounter challenges in maintaining optimal performance on tasks involving num... read more 

Toward Real-world Infrared Image Super-Resolution: A Unified Autoregressive Framework and Benchmark Dataset

arXiv
Infrared image super-resolution (IISR) under real-world conditions is a practically significant yet rarely addressed task. Pioneering works are often trained and evaluated on simulated datasets or neglect the intrinsic differences between infrared an... read more 

SeekRBP: Leveraging Sequence-Structure Integration with Reinforcement Learning for Receptor-Binding Protein Identification

arXiv
Motivation: Receptor-binding proteins (RBPs) initiate viral infection and determine host specificity, serving as key targets for phage engineering and therapy. However, the identification of RBPs is complicated by their extreme sequence divergence, w... read more 

KindSleep: Knowledge-Informed Diagnosis of Obstructive Sleep Apnea from Oximetry

arXiv
Obstructive sleep apnea (OSA) is a sleep disorder that affects nearly one billion people globally and significantly elevates cardiovascular risk. Traditional diagnosis through polysomnography is resource-intensive and limits widespread access, creati... read more 

Evaluating GPT-5 as a Multimodal Clinical Reasoner: A Landscape Commentary

arXiv
The transition from task-specific artificial intelligence toward general-purpose foundation models raises fundamental questions about their capacity to support the integrated reasoning required in clinical medicine, where diagnosis demands synthesis ... read more 

DSA-SRGS: Super-Resolution Gaussian Splatting for Dynamic Sparse-View DSA Reconstruction

arXiv
Digital subtraction angiography (DSA) is a key imaging technique for the auxiliary diagnosis and treatment of cerebrovascular diseases. Recent advancements in gaussian splatting and dynamic neural representations have enabled robust 3D vessel reconst... read more