Artificial Intelligence Medical Compendium

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

Showing 3,761 to 3,770 of 169,808 articles

Breast cancer is detectable from peripheral blood using machine learning over T cell receptor repertoires.

NPJ systems biology and applications
The immune system's defense abilities rely on the diversity of T and B lymphocytes. T Cell Receptors (TCRs) are generated through V(D)J recombination, where distinct genetic elements combine and undergo modifications, creating extensive variability. ... read more 

Light in, sound keys out: photoacoustic PUFs from stochastic nanocomposites.

Nature communications
We present a concept of physically unclonable functions utilizing the photoacoustic effect to generate structurally random, inference-resistant cryptographic keys. The system consists of a CuO/SnO₂ nanoparticle composite, where CuO acts as a visible-... read more 

Attitudes, Perceptions, and Factors Influencing the Adoption of AI in Health Care Among Medical Staff: Nationwide Cross-Sectional Survey Study.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI) has demonstrated transformative potential in the health care field; yet, its clinical adoption faces challenges such as inaccuracy, bias, and data privacy concerns. As the primary operators of AI systems, phys... read more 

Development and validation of a transformer-based deep learning model for predicting distant metastasis in non-small cell lung cancer using FDG PET/CT images.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico
BACKGROUND: This study aimed to develop and validate a hybrid deep learning (DL) model that integrates convolutional neural network (CNN) and vision transformer (ViT) architectures to predict distant metastasis (DM) in patients with non-small cell lu... read more 

Ethical Challenges to the Adoption of AI in Healthcare: A Review.

The New bioethics : a multidisciplinary journal of biotechnology and the body
There are few comprehensive summaries of the ethical challenges associated with the adoption of artificial intelligence in healthcare. This review utilizes a systematic search focused on identifying the barriers and facilitators to the implementation... read more 

Wetland dynamics in the Indus River Delta: A Sentinel-2 and machine learning approach.

Journal of environmental management
Coastal wetlands of the Indus River Delta are vital ecological regions that have undergone significant transformations driven by anthropogenic activities and environmental stressors. This study assesses the dynamics of wetlands and reclamation in the... read more 

Machine learning diagnostic model for amyotrophic lateral sclerosis analysis using MRI-derived features.

Neuroradiology
PURPOSE: Amyotrophic Lateral Sclerosis is a devastating motor neuron disease characterized by its diagnostic difficulty. Currently, no reliable biomarkers exist in the diagnosis process. In this scenario, our purpose is the application of machine lea... read more 

Scientific planning of dynamic crops in complex agricultural landscapes based on adaptive optimization hybrid SA-GA method.

Scientific reports
Effective dynamic agricultural planning is crucial for optimising resource allocation and ensuring income stability, yet conventional methods often face limitations in adapting to the complex and variable conditions of mountainous regions, particular... read more 

Artificial intelligence in radiology, nuclear medicine and radiotherapy: Perceptions, experiences and expectations from the medical radiation technologists in Central and South America.

Journal of medical imaging and radiation sciences
INTRODUCTION: Artificial intelligence (AI) has been growing in the field of medical imaging and clinical practice. It is essential to comprehend the perceptions, experiences, and expectations regarding AI implementation among medical radiation techno... read more 

SamRobNODDI: q-space sampling-augmented continuous representation learning for robust and generalized NODDI.

Physics in medicine and biology
OBJECTIVE: Neurite Orientation Dispersion and Density Imaging (NODDI) microstructure estimation from diffusion magnetic resonance imaging (dMRI) is of great significance for the discovery and treatment of various neurological diseases. Current deep l... read more