Ethics

Evaluating LLMs' Potential to Identify Rare Patient Identifiers in Patient Health Records.

This study explores the utility of Large Language Models (LLMs) to support finding rare patient reco...

Participatory Co-Creation of an AI-Supported Patient Information System: A Multi-Method Qualitative Study.

In radiology and other medical fields, informed consent often rely on paper-based forms, which can o...

An AI-driven strategy for active compounds discovery and non-destructive quality control in traditional Chinese medicine: A case of Xuefu Zhuyu Oral Liquid.

The modernization and globalization of traditional Chinese medicine (TCM) face challenges such as un...

Novel AI Guided Non-Expert Compression Ultrasound DVT Diagnostic Pathway May Reduce Vascular Laboratory Venous Testing .

OBJECTIVE: Ultrasonography and D-dimer testing are established modalities for evaluating potential l...

Take Nature's AI research test: find out how your ethics compare.

Polarization-selective unidirectional and bidirectional diffractive neural networks for information security and sharing.

Information security aims to protect confidentiality and prevent information leakage, which inherent...

Using machine learning methods to predict the diabatic bond dissociation energy of non-heme iron complexes.

Bond dissociation energy (BDE) is an important property in chemical research. In the process of non-...

Ethics: Crisis Standards of Care Simulation.

Ethical dilemmas exist with decision-making regarding resource allocations, such as critical care, v...

Segmentation of renal vessels on non-enhanced CT images using deep learning models.

OBJECTIVE: To evaluate the possibility of performing renal vessel reconstruction on non-enhanced CT ...

Ethics of Artificial Intelligence in Medicine and Ophthalmology.

BACKGROUND: This review explores the bioethical implementation of artificial intelligence (AI) in me...

Mitigating Bias in Machine Learning Models with Ethics-Based Initiatives: The Case of Sepsis.

This paper discusses ethics-based strategies for mitigating bias in machine learning models used to ...

Data-Driven Insights into Porphyrin Geometry: Interpretable AI for Non-Planarity and Aromaticity Analyses.

Porphyrins are involved in numerous and very different chemical and biological processes, due to the...

Exploring the influencing factors of abdominal aortic calcification events in chronic kidney disease (CKD) and non-CKD patients based on interpretable machine learning methods.

BACKGROUND: Calcification is prevalent in CKD patients, with abdominal aortic calcification (AAC) be...

Identification of Phase Transformations in Alloy and Non-Alloy Steel During Austempering Using Acoustic Emission and Neural Network.

This research was carried out for selected alloy (bearing) and non-alloy (tool) steel. The steels we...

Performance of fully automated deep-learning-based coronary artery calcium scoring in ECG-gated calcium CT and non-gated low-dose chest CT.

OBJECTIVES: This study aimed to validate the agreement and diagnostic performance of a deep-learning...

A novel scheme for non-invasive drug delivery with a magnetically controlled drug delivering capsule endoscope.

There is a lack of effective means for precise drug delivery of gastrointestinal diseases. Herein we...

Endometrial tumorigenesis involves epigenetic plasticity demarcating non-coding somatic mutations and 3D-genome alterations.

BACKGROUND: The incidence and mortality of endometrial cancer (EC) is on the rise. Eighty-five perce...

Thirty-day mortality risk prediction for geriatric patients undergoing non-cardiac surgery in the surgical intensive care unit.

BACKGROUND: The prediction of mortality for elderly patients undergoing non-cardiac surgeries is a v...

Construction and validation of a predictive model for suicidal ideation in non-psychiatric elderly inpatients.

BACKGROUND: Suicide poses a substantial public health challenge globally, with the elderly populatio...

A Justice-First Approach to Ambient Intelligence in Healthcare.

Ambient intelligence systems (AIS) are increasingly deployed to provide persistent, artificially int...

A Systematic Review of Sensor-Based Methods for Measurement of Eating Behavior.

The dynamic process of eating-including chewing, biting, swallowing, food items, eating time and rat...