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Abstract Heritage crops are recognized for their genetic diversity and naturally elevated antioxidant profiles, including polyphenols, flavonoids, and carotenoids. However, their nutritional value is highly sensitive to ...

Global food supply chains continue to expand in scale and complexity, heightening risks of fraud, mislabeling, and cross-contamination across certification systems. These vulnerabilities are particularly consequential fo...

Skin lesions are one of the most prevalent form of diseases existing among us. Early detection and classification of potentially malignant skin lesions can give us a lead in the fight against skin cancer. There are many ...

Abstract Objectives To evaluate whether collaborative assistance from an artificial intelligence-based tool that proposes partial radiology report content can improve reporting efficiency and radiologist satisfaction in ...

This conceptual paper examines the adoption of Artificial Intelligence (AI)-driven wearable technology, including smartwatches, fitness trackers, wearable ECGs, glucose monitors, and pain management devices, in transform...

Resumen La inteligencia artificial reconfigura entornos sociales, prácticas educativas y vidas humanas, y sus desarrollos movilizan voces defensoras y detractoras. El objetivo es interpretar posibilidades, riesgos y opo...

Abstract Surgical planning for clear cell renal cell carcinoma (ccRCC) is highly dependent on tumor aggressiveness. However, current decisions are predominantly based on postoperative pathology, limiting opportunities fo...

An accurate intraoperative assessment of tissue perfusion in digestive surgery is critical to prevent complications such as anastomotic leakage, an event in which a surgical connection between organs fails to heal proper...

In this work, a structured hierarchy of hyperdatasets for Monkeypox image classification is presented, aiming to evaluate the robustness and generalization ability of deep classification models for Mpox detection. A syst...

ABSTRACT With the development of unmanned aerial vehicle and satellite technology, the application of tiny object detection in remote sensing images is becoming increasingly widespread. Although significant progress has ...

Macromolecular crystallography provides mechanistic understanding of biological processes and can be applied in drug design. Nowadays, the use of robotic systems for crystal growth and diffraction analysis is widespread ...

The agricultural sector contributes significantly to the economic development of nations worldwide. Owing to the population explosion, agriculture must address the complex challenges to meet the growing food demand while...

BackgroundDigital tools are reshaping public health education and training, yet evidence on whether large language models (LLMs) can generate specialist ophthalmic teaching materials remains limited. High myopia (HM), a ...

Background and objectives: The multiple chest x-ray datasets released in the last years have ground-truth labels intended for different computer vision tasks, suggesting that performance in automated chest x-ray interpre...

Aims/objectives: This study aimed to evaluate the performance of leading large language models (LLMs) in orthopedic surgery, with a focus on diagnostic accuracy, radiographic interpretation, subspecialty-specific perform...

Objective: To generate synthetic Orthopantomograms (OPGs) using generative Artificial Intelligence (AI) models and to evaluate the realism of synthetic images through assessments by humans as well as AI models. Methodolo...

Cancer is the second-largest cause of death worldwide, constitute about one out of every six deaths. Diagnostic techniques have been developed for the early detection to determine benign and malignant ones and conduct ap...

Abstract Purpose This study introduces a new Convolutional Neural Network (CNN) architecture, EyeDiagNet, for the classification of fundus images into four classes: normal, cataract, diabetic retinopathy (DR), and glauco...

Abstract Efficiently and accurately extracting key information from videos has become a core challenge in the current computer vision. Traditional methods rely on manual features and shallow models, making it difficult t...

This article explores the enduring relevance of Tadeusz Kantor’s theatrical innovations within the context of contemporary digital performance. By analyzing Kantor’s radical redefinition of stage objects, particularl...

This article provides a comprehensive analysis of the impact of digital transformation on the system of international management, which is undergoing fundamental changes under the pressure of globalization, rapid technol...

Principalmente nos interesa mostrar cómo debe encararse la tarea de dar definiciones válidas cuando éstas involucran dos terrenos del conocimiento originariamente disímiles. Algunos observadores podrán presentir la ...

En la compleja red de la sociedad contemporánea, la creciente integración de la inteligencia artificial (IA) suscita una serie de preguntas y reflexiones profundas sobre su impacto en el ámbito laboral y más precisam...

"Este trabajo presenta una formación compuesta por un vehículo de superficie autónomo (ASV, por sus siglas en inglés) y un vehículo aéreo no tripulado (UAV, por sus siglas en inglés) con el objetivo de navegar, de...