Artificial Intelligence Medical Compendium

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

Showing 11,731 to 11,740 of 210,187 articles

T-cell-mediated immunity to influenza A (H2N3): implications for caccine efficacy and cross-subtype protection.

Archives of microbiology
Influenza A viruses pose a significant pandemic threat, with H2N3 in particular representing a subtype of particular concern due to limited population immunity and potential for zoonotic transmission. Traditional antibody-centric vaccine strategies f... read more 

A review of deep learning-based multimodal data integration of lung cancer.

Clinical and experimental medicine
This is a narrative review that provides a perspective on the recent advances in deep learning (DL)-driven multimodal data integration for lung cancer. Lung cancer remains the most prevalent malignancy and the leading cause of cancer-related mortalit... read more 

Advances in quantum dot-based fluorescent biosensors for enzyme detection: mechanistic insights and applications in disease.

Mikrochimica acta
It is imperative to develop precise detection tools for enzymes, as key biomarkers in disease pathogenesis, to fuel progress in clinical diagnostics and personalized medicine. Quantum dots (QDs), with exceptional photostability, size-tunable emission... read more 

Optimizing Renal Fibrosis Assessment in Patients with Chronic Kidney Disease: Feature and Decision-Level Fusion in Machine Learning Using Clinical and Ultrasound Information.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
PURPOSE: Machine learning has been extensively applied in nephrology. This study aims to evaluate and compare the effectiveness of various information fusion strategies for differentiating mild from moderate-to-severe renal fibrosis in patients with ... read more 

Volumetric Analysis of Deep Cerebellar and Thalamic Nuclei in Spastic Cerebral Palsy.

Journal of computer assisted tomography
OBJECTIVE: Cerebral palsy (CP) encompasses various movement disorders, most commonly spasticity, although other motor phenotypes such as dystonia may occur. Certain structural magnetic resonance imaging (MRI) findings, such as periventricular leukoma... read more 

Generative Autoencoders Coupled to Monte Carlo Simulation Allow Efficient Protein Conformation Sampling.

Journal of chemical theory and computation
Molecular simulations of proteins are well-known to be computationally expensive. Here, we present a new latent-space-based method for modeling protein conformational flexibility at a very affordable computational cost. The method is data-driven and ... read more 

A Deep Bidirectional LSTM Model Enhanced by Transfer-Learning for the Classification of Peripheral Arterial Blood Pressure Waveforms.

IEEE transactions on bio-medical engineering
OBJECTIVE: Arterial blood pressure waveform (BPW) morphology provides critical insight into cardiovascular status and can serve as an early marker of pathological changes, particularly in critically ill patients where waveform alterations may occur o... read more 

TVRN: Invertible Neural Networks for Compression-Aware Temporal Video Rescaling.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
To fit diverse display and bandwidth constraints, high-frame-rate videos are temporally downscaled to low-frame-rate (LFR) and later upscaled, requiring joint optimization for effective frame-rate rescaling. However, existing methods typically link t... read more 

DSA-NRP: No-Reflow Prediction from Angiographic Perfusion Dynamics in Stroke EVT.

IEEE transactions on medical imaging
Following successful large-vessel recanalization via endovascular thrombectomy (EVT) for acute ischemic stroke (AIS), some patients experience a complication known as no-reflow, defined by persistent microvascular hypoperfusion that undermines tissue... read more