Artificial intelligence can assist providers in a variety of patient care and intelligent health
systems. Artificial intelligence techniques ranging from machine learning to deep learning …

The aims of nursing training include not only mastering skills but also fostering the
competence to make decisions for problem solving. In prenatal education, cultivating nurses' …

Purpose: Develo** an artificial intelligence-based prostate cancer detection and
diagnosis system that can automatically determine important regions and accurately classify …

Natural language processing (NLP) is a subfield of computer science and linguistics. NLP
involves the creation and study of computer programs that interact with human language …

COVID-19 diagnosis is usually based on PCR test using radiological images, mainly chest
Computed Tomography (CT) for the assessment of lung involvement by COVID-19 …

Rationale and Objectives Large Language Models can capture the context of radiological
reports, offering high accuracy in detecting unexpected findings. We aim to fine-tune a …

Cancer disease is one of the main causes of death in the world, with million annual cases in
the last decades. The need to find a cure has stimulated the search for efficient treatments …

Abstract Background and Objective: Colorectal cancer is one of the major causes of cancer
death worldwide. Essential for prognosis and treatment planning, TNM staging offers critical …

Objectives The differential between high-grade glioma (HGG) and metastasis remains
challenging in common radiological practice. We compare different natural language …

Background: A Teachable Machine is a kind of machine learning web-based tool for general
persons. In this paper, the feasibility of Google's Teachable Machine (ver. 2.0) was studied …