Artificial Intelligence Medical Compendium

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

Showing 48,201 to 48,210 of 224,199 articles

How to gain valuable insight from scarce data with Machine Learning: a post-hoc explanation tool to identify biases in biological images classification

bioRxiv
Machine learning (ML) models are effective at classifying images across various fields, including biology. However, their performance on biomedical images is often limited by the small size of available datasets that are constrained by the time-consu... read more 

Fast and alignment-free flavivirus classification from low-coverage genomes

bioRxiv
High genomic variability among viral species makes sequence classification highly dependent on multiple sequence alignment (MSA) methods, which are both computationally intensive and sensitive to data quality issues. To provide a more efficient and r... read more 

GPAS: an online AI system for rapid and accurate pathogen identification and LLM-based interpretation

medRxiv
Accurate identification of unknown pathogens is critical for medicine and public health, yet current metagenomic workflows remain heavily dependent on specialized bioinformatics expertise and manual interpretation, creating substantial bottlenecks in... read more 

Machine Intelligence-Driven Forecasting for ED Triage and Dynamic Hospital Patient Routing

medRxiv
Overcrowding of emergency departments (ED) is now a problem of global health care concern due to the increase in patients. Triage systems have been established for a considerable period. However, their reliability in choosing the appropriate patient ... read more 

Agentic Trial Emulation to Learn Health System-specific Drug Effects At Scale

medRxiv
Objective: Electronic Health Record (EHR)-based trial emulation can support translation of randomized clinical trial (RCT) evidence into practice, yet emulations often diverge from published RCT results. We hypothesized that these discrepancies are s... read more 

CardioPulmoNet: Modeling Cardiopulmonary Dynamics for Histopathological Diagnosis

medRxiv
Objective: This study investigates whether incorporating physiological coupling concepts into neural network design can support stable and interpretable feature learning for histopathological image classification under limited data conditions. Method... read more 

AptaBLE: A Deep Learning Platform for Aptamer Generation and Analysis

bioRxiv
Aptamers are single-stranded oligonucleotides that bind molecular targets with high affinity and specificity. However, their discovery remains time-consuming, expensive, and susceptible to experimental biases. Here we present AptaBLE, a deep learning... read more 

Optimal management of oligometastatic prostate cancer: current state and future directions.

Current opinion in oncology
PURPOSE: Oligometastatic prostate cancer (oligoPCa) represents a clinical state of limited metastatic spread in which metastasis-directed therapy (MDT) may offer meaningful disease control either alone or with systemic therapy. As imaging, systemic t... read more 

Cardiac Magnetic Resonance Scan Efficiency.

Magnetic resonance imaging clinics of North America
Accelerated 30 min cardiac magnetic resonance (CMR) examinations combining cutting-edge acquisition, reconstruction, and workflow methods have the potential to expand democratization to CMR, increase throughput, enhance patient experience, and mainta... read more 

Strain Imaging in Heart Failure.

Magnetic resonance imaging clinics of North America
Strain imaging, performed with echocardiography and cardiovascular magnetic resonance (CMR), is a noninvasive technique for detecting subclinical myocardial dysfunction across the heart failure spectrum, in various cardiomyopathies, and within the fi... read more