Artificial Intelligence Medical Compendium

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

Showing 44,581 to 44,590 of 224,055 articles

Deep Learning-Based ROSC Prediction and ECG Phenotyping in Out-of-Hospital Cardiac Arrest.

Resuscitation
INTRODUCTION: Electrocardiogram (ECG) signals during cardiac arrest contain detailed information on cardiac rhythm characteristics and have been associated with resuscitation outcomes. We aimed to develop a convolutional neural network (CNN) model to... read more 

Leveraging Kappa-Lambda Signatures in a Multi-Stage Machine Learning Pipeline for B-Cell Lymphoma Detection by Flow Cytometry.

The American journal of pathology
Flow cytometry immunophenotyping is essential for diagnosing B-cell lymphomas, but manual interpretation of high-dimensional data remains subjective, time-consuming, and prone to inter-operator variability. Previous computational approaches often ove... read more 

Intelligent interferometric analysis of lipid layer thickness for clinical evaluation of dry eye disease.

The ocular surface
PURPOSE: Accurate and reproducible measurement of tear film lipid layer thickness (LLT) is essential for evaluating meibomian gland dysfunction (MGD) and diagnosing dry eye disease (DED). However, existing interferometric systems mainly rely on quali... read more 

Artificial Intelligence-based Gram Stain Classification: Accuracy and Clinical Utility in Positive Blood Cultures.

Journal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy
INTRODUCTION: With the rapid advancement of artificial intelligence (AI) technology, AI has been applied to the detection of pathogens that cause infectious diseases. This study evaluated the newly developed AI-based software, the BiTTE-iE, based on ... read more 

BCLC classification and AI-based image quantification: What is meant to be will come together - but how and when?: BCLC and AI-based image quantification.

Journal of hepatology
The Barcelona Clinic Liver Cancer (BCLC) classification has been the mainstay for prognostic assessment and initial treatment selection in hepatocellular carcinoma (HCC) for more than two decades. It is widely clinically accepted and has been reaffir... read more 

Classification of suicide attempt history in adolescents with affective disorders: An exploratory machine learning study.

Journal of affective disorders
INTRODUCTION: Diagnosis of affective disorders among adolescent population links with the high risk of suicide attempt. The use of clinical psychological scales and biological markers may help to understand the background of suicidal process. Here we... read more 

Evaluating the potential of applying artificial intelligence in the diagnosis of major depressive disorder: Neuroimaging and clinical behavioral markers.

Journal of affective disorders
BACKGROUND: Consensus exists that point-of-care in scalable capabilities are required to improve the timeliness and accuracy of Major Depressive Disorder (MDD) during the clinical encounter. Artificial intelligence (AI), via integration of high-dimen... read more 

Using machine learning to reveal two distinct neuroanatomical subtypes of first-episode, drug-naïve major depressive disorder: Evidence from the REST-meta-MDD project.

Journal of affective disorders
BACKGROUND: Major depressive disorder (MDD) is a highly heterogeneous condition, complicating biomarker discovery and precision medicine. Identifying biologically distinct subtypes using structural MRI (sMRI) offers a promising approach to address th... read more 

From Antigen to Atlas: A Multi-omics, Single-Cell Pipeline for Discovering Safe and Effective CAR Targets in Ovarian Cancer.

Critical reviews in oncology/hematology
Chimeric antigen receptor (CAR) T-cell therapy has achieved remarkable success in hematologic malignancies but continues to face significant barriers in solid tumors such as ovarian cancer (OC), primarily due to antigen heterogeneity and on-target, o... read more 

Artificial-intelligence-guided autophagy modulation and nanomedicine design for precision photodynamic cancer therapy.

Drug discovery today
Cancer remains a major cause of death worldwide and current therapies are often limited by toxicity, resistance and poor tumor selectivity. Photodynamic therapy (PDT) offers spatiotemporally controlled cytotoxicity but its efficacy is constrained by ... read more