Online ISSN: 2515-8260

Keywords : CAD

Micro and Macro vascular complications in type 2 diabetic patients with non-alcoholic fatty liver disease

Dr.Anil Kumar, Dr.J Nagajyothi, Dr.Raghu Nandan

European Journal of Molecular & Clinical Medicine, 2022, Volume 9, Issue 1, Pages 447-453

NAFLD is a spectrum of liver lesions ranging from simple hepatic steatosis to NASH with progressive fibrosis leading to cirrhosis and liver failure in some patients and eventually hepatocellular carcinoma. The different parts of this spectrum are probably best regarded as parts of a histological continuum. All patients underwent ultrasound (USG) of the abdomen to detect fatty changes in the liver, performed by aexperienced radiologist, using a high-resolution B-mode ultrasonography system, having an electric linear transducer mid frequency of 3-5 MHz.The scanning was done for an average of 20 minutes.
In our study out of 50 patients,22(44%) patients were having diabetic neuropathy on the basis of clinical examination,out of them 10 (45.45%) patients were males & 12 (54.54%) patients were females. There was higher prevalence of diabetic neuropathy in female patients. 28 (56%) patients were negative for neuropathy. Out of total 50 diabetic patients with NAFLD, 31 (62%) patients were having evidence of CAD, out of 31 patients, 17 (54.8%) were male & 14 (45.2%) were female. 19 (38%) patients having no evidence of CAD.

A Computer Aided Diagnosis of Lung Disease using Machine Learning Approach

Subapriya V; Jaichandran R; Shunmuganathan K.L; Abhiram Rajan; Akshay T; Shibil Rahman

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2662-2667

Cancer is a disease that is unregulated by cells in the body. Lung nodule is called lung cancer because the disease starts in the lungs. Cancer of the pulmonary system begins in the lungs and may travel to lymph nodes or other body species such as the brain. The lungs can also be impacted by cancer from other bodies. The metastases are named as cancer cells migrate from organ to organ. Lung cancers are normally grouped into two major cell and non-small cell types. In this study we predict a Computer Aided Diagnosis (CAD) for lung cancer prediction using Convolutional Neural Network (CNN) and ML approach

Deep Learning in Tuberculosis Diagnosis: A Survey

B. Sandhiya; Dr.R. Punniyamoorthy; Saravanan. B; Vijay Prabhu. R; Subhash. V

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2736-2740

Tuberculosis is a contagious syndrome that leads to death Worldwide. In majority of the developing countries, the access to the diagnostic tool and the test usage is relatively poor. Now the recent advancement in the field of Artificial Intelligence may help them to fill this technology gap. Computer Aided Detection and Diagnosis helps in diagnosing the diseases through some clinical symptoms as well as X-ray images of the patients. Nowadays many strategies are formulated to increase the classification accuracy of tuberculosis diagnosis using AI and Deep Learning approaches. Our survey paper, focus to describe the wide AI and deep learning approaches employed in the diagnosis of tuberculosis.