Ethics

Non-invasive prediction of DCE-MRI radiomics model on CCR5 in breast cancer based on a machine learning algorithm.

BackgroundNon-invasive methods with universal prognostic guidance for detecting breast cancer (BC) s...

Normative isokinetic knee strength values and prediction models in non-athletic Chinese adults.

BACKGROUND: Establishing normative isokinetic muscle strength values and prediction models for knee ...

Prognostic effect of CD74 and development of a radiomic model for predicting CD74 expression in non-small cell lung cancer.

BACKGROUND: The classical prognostic indicators of lung cancer are no longer sufficient for prognost...

Multi-branch GAT-GRU-transformer for explainable EEG-based finger motor imagery classification.

Electroencephalography (EEG) provides a non-invasive and real-time approach to decoding motor imager...

Development of Non-Invasive Continuous Glucose Prediction Models Using Multi-Modal Wearable Sensors in Free-Living Conditions.

Continuous monitoring of glucose levels is important for diabetes management and prevention. While t...

Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion.

The increased workload in pathology laboratories today means automated tools such as artificial inte...

An Australasian survey on the use of ChatGPT and other large language models in medical physics.

This study surveyed medical physicists in Australia and New Zealand on their use of large language m...

Protected Chaos in a Topological Lattice.

The erratic nature of chaotic behavior is thought to erode the stability of periodic behavior, inclu...

Classification of non-small cell lung cancer by histologic subtype using deep learning in public and private data sets of computed tomography images.

OBJECTIVE: To develop a deep learning system to classify non-small cell lung cancer (NSCLC) by histo...

Novel Spatio-Temporal Joint Learning-Based Intelligent Hollowing Detection in Dams for Low-Data Infrared Images.

Concrete dams are prone to various hidden dangers after long-term operation and may lead to signific...

A Smartphone-Based Non-Destructive Multimodal Deep Learning Approach Using pH-Sensitive Pitaya Peel Films for Real-Time Fish Freshness Detection.

The detection of fish freshness is crucial for ensuring food safety. This study addresses the limita...

Non-invasive tests developed using artificial intelligence for screening in MASLD: interest and pitfalls.

Non-orthogonal kV imaging guided patient position verification in non-coplanar radiation therapy with dataset-free implicit neural representation.

BACKGROUND: Cone-beam CT (CBCT) is crucial for patient alignment and target verification in radiatio...

Assisting the Diagnosis of Cirrhosis in Chronic Hepatitis C Patients Based on Machine Learning Algorithms: A Novel Non-Invasive Approach.

AIM: This study aimed to determine the important features and cut-off values after demonstrating the...

Ethical framework for responsible foundational models in medical imaging.

The emergence of foundational models represents a paradigm shift in medical imaging, offering extrao...

An efficient non-parametric feature calibration method for few-shot plant disease classification.

The temporal and spatial irregularity of plant diseases results in insufficient image data for certa...

Development of a deep-learning algorithm for etiological classification of subarachnoid hemorrhage using non-contrast CT scans.

OBJECTIVES: This study aims to develop a deep learning algorithm for differentiating aneurysmal suba...

Breath Insights: Advancing Lung Cancer Early-Stage Detection Through AI Algorithms in Non-Invasive VOC Profiling Trials.

Lung cancer (LC) is the leading cause of cancer-related deaths worldwide. Effective screening strat...

The future of critical care: AI-powered mortality prediction for acute variceal gastrointestinal bleeding and acute non-variceal gastrointestinal bleeding patients.

BACKGROUND: Acute upper gastrointestinal bleeding (AUGIB) is one of the most common critical disease...

Emerging research themes in ferroptosis research for non-small cell lung cancer: a bibliometric and visualized analysis.

BACKGROUND: Ferroptosis, an iron-dependent form of regulated cell death, has garnered significant at...

The Ethics of Speaking (of) AIs Through the Lens of Natural Language.

This theoretical essay offers a critical exploration of the ethics involved in interacting with and ...