This study aims to investigate the perceptions and experiences regarding automated diagnosis treatment planning in dentistry. The field of is rapidly evolving, leveraging advanced technologies such as artificial intelligence (AI) machine learning enhance patient care outcomes. However, there a need understand perspectives dental professionals adoption implementation these systems. A questionnai...

Leukemia is the rapid production of abnormal white blood cells that consequently affects and damages bone marrow. The overproduction immature leads to damage immune system due reduced red platelets by marrow body. This hematological malignancy generally diagnosed manual methods such as complete count (CBC), aspiration, or microscopic examination smear. Nevertheless, leukemia diagnosis are econo...

In this paper we describe a computer-aided diagnosis (CAD) system for automated detection of pulmonary nodules in computed-tomography (CT) images. After extracting the pulmonary parenchyma using a combination of image processing techniques, a region growing method is applied to detect nodules based on 3D geometric features. We applied the CAD system to CT scans collected in a screening program ...

Rapid and in time diagnosis of phenylketonuria (PKU) in affected infants can help preventing the progress of mental and developmental disorders associated with the disease. Here we report the isolation of alkaliphilic Bacillus bacteria capable of producing high level of Phenylalanine dehydrogenase (PheDH) from soil. A new quantitative and rapid test for PKU diagnosis was then developed using th...

In colposcopy, mosaic and punctation are two major abnormal vessels associated with cervical intraepithelial neoplasia (CIN). Detection and characterization of mosaic and punctation in digital cervical images is a crucial step towards developing a computer-aided diagnosis (CAD) system for cervical cancer screening and diagnosis. This paper presents automated techniques for detection and charact...

<p>Skin cancer is an example of the most dangerous disease. Early diagnosis skin can save many people’s lives. Manual classification methods are time-consuming and costly. Deep learning has been proposed for automated cancer. Although deep showed impressive performance in several medical imaging tasks, it requires a big number images to achieve good performance. The task suffers from prov...

Back ground and Objective:Oral cancer is primarily a disease of epithelial origin. The tongue is the most common site of oral cancer. The aim of this study was to determine the frequency of tongue cancer and signs, symptoms, clinical features, and site of lesions in addition to factors affected this cancer.  Materials Methods and:Twenty eight medical records of patients who a...