Ethics

Assessment of suicidal risk factors in young depressed persons with non-suicidal self-injury based on an artificial intelligence.

INTRODUCTION: The role of non-suicidal self-injury (NSSI) in the suicide process of people with majo...

Machine learning models using non-invasive tests & B-mode ultrasound to predict liver-related outcomes in metabolic dysfunction-associated steatotic liver disease.

Advanced metabolic-dysfunction-associated steatotic liver disease (MASLD) fibrosis (F3-4) predicts l...

Multi-stakeholder perspective on responsible artificial intelligence and acceptability in education.

Recognising a need to investigate the concerns and barriers to the acceptance of artificial intellig...

All-optical reconfiguration of single silicon-vacancy centers in diamond for non-volatile memories.

Strain engineering is vital for tuning the optical and spin properties of solid-state color centers,...

Electronic-Nose Technology for Lung Cancer Detection: A Non-Invasive Diagnostic Revolution.

BACKGROUND: Lung cancer (LC) remains a leading cause of cancer-related mortality worldwide, primaril...

Evaluating cell-free DNA integrity index as a non-invasive biomarker for neoadjuvant chemotherapy in colorectal cancer patients.

BACKGROUND: Neoadjuvant chemotherapy (NAC) is gaining attention as a treatment for advanced colorect...

Multiple omics-based machine learning reveals peripheral blood immune cell landscape during acute rejection of kidney transplantation and constructs a precise non-invasive diagnostic strategy.

Kidney transplantation is the optimal treatment for end-stage renal disease (ESRD), but acute reject...

Academic freedom, artificial intelligence and the blandification of ethics.

A systematic literature review on integrating AI-powered smart glasses into digital health management for proactive healthcare solutions.

AI-powered smart glasses are emerging as a highly promising advancement in the field of digital heal...

Beam orientation optimization in IMRT using sparse mixed integer programming and non-convex fluence map optimization.

Beam orientation optimization (BOO) in intensity-modulated radiation therapy (IMRT) is a complex, no...

Impact of Normal Lung Volume Choices on Radiation Pneumonitis Risk Prediction in Locally Non-small Cell Lung Cancer Radiation Therapy.

PURPOSE: This study aims to evaluate the impact of varying definitions of normal lung volume on the ...

Artificial intelligence policies in bioethics and health humanities: a comparative analysis of publishers and journals.

INTRODUCTION: Rapid advancements in artificial intelligence (AI) pose novel ethical and practical ch...

A Radiogenomic Deep Ensemble Learning Model for Identifying Radionecrosis Following Brain Metastases (BM) Stereotactic Radiosurgery in Patients With Non-small Cell Lung Cancer BM.

PURPOSE: Stereotactic radiosurgery (SRS) is widely used for brain metastases (BM), but the risk of r...

Preparing the workforce for the non-linear implementation of health information technology.

This article addresses how the dynamic, interdisciplinary, and non-linear nature of health informati...

Enhanced machine learning models for predicting three-year mortality in Non-STEMI patients aged 75 and above.

BACKGROUND: Non-ST segment elevation myocardial infarction (Non-STEMI) is a severe cardiovascular co...

Hybrid-YOLOv5 for object detection of non-ferrous metals in end-of-life vehicles.

In recent years, the detection of non-ferrous metals in end-of-life vehicles (ELVs) has become essen...

Data-driven approach to the deep learning of the dynamics of a non-integrable Hamiltonian system.

The dynamics of non-integrable Hamiltonian systems, described by area-preserving mappings, are regul...

Health consumers' use and perceptions of health information from generative artificial intelligence chatbots: A scoping review.

Background Health consumers can use generative artificial intelligence (GenAI) chatbots to seek heal...

LncRNAs regulates cell death in osteosarcoma.

Despite improvements, prognosis in osteosarcoma patients remains poor, making it essential to identi...

Predicting boiling heat flux, heat transfer coefficient, and regimes Non-intrusively using external acoustics and deep learning.

Accurate monitoring of boiling heat transfer is critical for the safety and efficiency of high energ...

Enhanced security for medical images using a new 5D hyper chaotic map and deep learning based segmentation.

Medical image encryption is important for maintaining the confidentiality of sensitive medical data ...