Ethics

Machine learning to evaluate the effects of non-clinical social determinant features in predicting colorectal Cancer mortality in a medically underserved Appalachian population.

Colorectal cancer (CRC) is the 2nd leading cause of cancer death in the United States (US). Rural Ap...

In Silico tool for predicting, designing and scanning IL-2 inducing peptides.

Interleukin-2 (IL-2) based immunotherapy has been approved for treating certain types of cancer, as ...

A non-anatomical graph structure for boundary detection in continuous sign language.

Recently, the challenge of the boundary detection of isolated signs in a continuous sign video has b...

Non-invasive liver fibrosis screening on CT images using radiomics.

PURPOSE: To develop a radiomics machine learning model for detecting liver fibrosis on CT images of ...

Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images.

Birth complications, particularly jaundice, are one of the leading causes of adolescent death and di...

Advanced finite segmentation model with hybrid classifier learning for high-precision brain tumor delineation in PET imaging.

Brain tumor segmentation plays a crucial role in clinical diagnostics and treatment planning, yet ac...

Machine learning survival models for Non-alcoholic fatty liver disease based on a health checkup cohort.

OBJECTIVES: This study aimed to develop an accurate prediction model for the risk of Non-alcoholic f...

Characterizing individual and methodological risk factors for survey non-completion using machine learning: findings from the U.S. Millennium Cohort Study.

BACKGROUND: Missing survey data can threaten the validity and generalizability of findings from long...

A Novel Machine Learning Model for Predicting Natural Conception Using Non-Laboratory-Based Data.

This study aimed to predict the likelihood of natural conception among couples by using a machine le...

A Scoping Review on AI-Supported Interventions for Non-Pharmacological Management of Chronic Rheumatic Diseases.

This review summarizes AI-supported non-pharmacological interventions for adults with chronic rheuma...

Incidental Finding of Coronary and Non-Coronary Artery Calcium: What Do Clinicians Need To Know?

PURPOSE OF REVIEW: This review summarizes the role of incidentally and non-incidentally discovered c...

Fusion of Personalized Federated Learning (PFL) with Differential Privacy (DP) Learning for Diagnosis of Arrhythmia Disease.

This paper presents a novel privacy-preserving architecture, a fusion of Federated Learning with Per...

Non-invasive identification of TKI-resistant NSCLC: a multi-model AI approach for predicting EGFR/TP53 co-mutations.

OBJECTIVES: To investigate the value of multi-model based on preoperative CT scans in predicting EGF...

Enhanced melanoma and non-melanoma skin cancer classification using a hybrid LSTM-CNN model.

Melanoma is the most dangerous type of skin cancer. Although it accounts for only about 1% of all sk...

PREACT-digital: study protocol for a longitudinal, observational multicentre study on digital phenotypes of non-response to cognitive behavioural therapy for internalising disorders.

INTRODUCTION: Cognitive behavioural therapy (CBT) serves as a first-line treatment for internalising...

Early prediction of non-invasive ventilation outcome using the TabPFN machine learning model: a multi-centre validation study.

Utilizing Immuno-Oncology registry data for enhanced non-small cell lung cancer treatment predictions.

OBJECTIVES: We aim to leverage more comprehensive phenotypic and genotypic clinical data to enhance ...

CRISPR/Cas-Based Biosensing Strategies for Non-Nucleic Acid Contaminants in Food Safety: Status, Challenges, and Perspectives.

Non-nucleic acid targets (non-NATs), such as heavy metals, toxins, and pesticide residues, pose crit...

A machine learning model reveals invisible microscopic variation in acute ischaemic stroke (≤ 6 h) with non-contrast computed tomography.

BACKGROUND: In most medical centers, particularly in primary hospitals, non-contrast computed tomogr...

A clinicians' guide to non-invasive ventilation for exacerbated chronic obstructive pulmonary disease.

INTRODUCTION: Chronic Obstructive Pulmonary Disease (COPD) is a debilitating condition marked by per...

Single-layer KAN for deepfake classification: Balancing efficiency and performance in resource constrained environments.

Deepfakes, synthetic media created using artificial intelligence, threaten the authenticity of digit...