The classification of wheat yellow rust disease based on a combination of textural and deep features.

Yellow rust is a devastating disease that causes significant losses in wheat production worldwide and significantly affects wheat quality. It can be controlled by cultivating resistant cultivars, applying fungicides, and appropriate agricultural practices. The degree of precautions depends on the extent of the disease.

Diagnosing and differentiating viral pneumonia and COVID-19 using X-ray images.

Coronavirus-caused diseases are common worldwide and might worsen both human health and the world economy. Most people may instantly encounter coronavirus in their life and may result in pneumonia. Nowadays, the world is fighting against the new coronavirus: COVID-19.

End-To-End Computerized Diagnosis of Spondylolisthesis Using Only Lumbar X-rays.

Lumbar spondylolisthesis (LS) is the anterior shift of one of the lower vertebrae about the subjacent vertebrae. There are several symptoms to define LS, and these symptoms are not detected in the early stages of LS. This leads to disease progress further without being identified.

The Use of Machine Learning Approaches for the Diagnosis of Acute Appendicitis.

Acute appendicitis is one of the most common emergency diseases in general surgery clinics. It is more common, especially between the ages of 10 and 30 years. Additionally, approximately 7% of the entire population is diagnosed with acute appendicitis at some time in their lives and requires surgery.

Detection of rheumatoid arthritis from hand radiographs using a convolutional neural network.

Introduction: Plain hand radiographs are the first-line and most commonly used imaging methods for diagnosis or differential diagnosis of rheumatoid arthritis (RA) and for monitoring disease activity. In this study, we used plain hand radiographs and tried to develop an automated diagnostic method using the convolutional neural networks to help physicians while diagnosing rheumatoid arthritis.

Methods: A convolutional neural network (CNN) is a deep learning method based on a multilayer neural network structure.

Some Ethical Issues in Prehospital Emergency Medicine.

Prehospital emergency medical care has many challenges including unpredictable patient profiles, emergency conditions, and administration of care in a non-medical area. Many conflicts occur in a prehospital setting that require ethical decisions to be made. An overview of the some of ethical issues in prehospital emergency care settings is given in this article.

Attitudes of prehospital emergency care professionals toward refusal of treatment: A regional survey in Turkey.

Introduction: Prehospital emergency medicine is a specific field of emergency medicine. The basic approach of prehospital emergency medicine is to provide patients with medical intervention at the scene of the incident. This special environment causes health professionals to encounter various problems.

A case study from the perspective of medical ethics: refusal of treatment in an ambulance.

This paper will examine a sample case encountered by ambulance staff in the context of the basic principles of medical ethics. An accident takes place on an intercity highway. Ambulance staff pick up the injured driver and medical intervention is initiated.