Abstract: Cholesterol is a disease that is influenced by fat deposits originating from the liver. Detection of cholesterol disease can be known through blood tests, urine checks and visually the iris of the human eye. Cholesterol detection through the iris can be implemented using image processing techniques, especially in image segmentation. Input-based image segmentation on feature extraction and pattern... Read More

Abstract: Cholesterol is one of the factors than can cause disability and other diseases that is fatal to one’s life. Data from World Health Organization (WHO) said that around 4.4 million people die because of cholesterol related diseases and 40.4 million people are disabled because of cholesterol. To avoid this, people usually check their cholesterol rate so that they can... Read More

Abstract For clinical diagnosis, Iris image analysis is one of the most efficient non-invasive diagnosis method which helps to determine the health status of organs. Though correct and timely diagnosis is critical, it is very essential requirement of medical science. From the literature survey that we have done, is observed that lot of modern technologies also fails in diagnose disease... Read More

Abstract: In this study, we examined medical records and the iris images of 16 dementia patients using an iris analysis program (Askeye Iris Analysis AI Solution). The most common feature of patients identified using the iris analysis program was a sign of pancreatic weakness in the iris (shown in 14 out of 16 patients). The discovery was significant because metabolic... Read More

ABSTRACT Iris image analysis is one of the most effective non-invasive diagnosis methods for determining the health condition of organs in clinical diagnosis. Though accurate and quick diagnosis is vital, it is an absolutely necessary requirement of medical science. According to the literature review, several modern technologies also fail to appropriately identify disease. This endeavorinvestigates the field of diagnosis from... Read More

Abstract: The study of structural and pigment changes in the iris concerning specific iris compartments is known as iridology. The authors looked into the relationship between connective tissue density in the lung region of the iris and patients with lung disorders in this study. From 2019 to 2021, we collected iris images from 375 patients who visited Korean Medicine clinics... Read More

Abstract Type II Diabetes Mellitus (Type II DM) is a chronic condition that has detrimental effect on vital organs if left untreated, necessitating early diagnosis and treatment. Iridology, a subset of Complementary and Alternative Medicine (CAM), has the potential to serve as a tool for noninvasive early diagnosis of Type II DM. Iridology involves analyzing the characteristics of iris such... Read More

Abstract: Heart diseases are leading cause of death for men, and women around the world. Traditionally, to detect heart disease, heart condition checking is a must, but this method is costly, inconvenient, and takes some time. An alternative and a simpler method is the iridology method. Iridology is a study of the human iris to determine any abnormalities that happened... Read More

Abstract Iridology is a sort of complementary medicine using the patterns, colors, and other properties of the iris to gather systemic information about a person’s health status. To put it another way, iridology is the examination of the iris’ sensitive structures. Iridology is employed in conjunction with other approaches by physicians to better understand their patients’ needs. Examination and diagnosis,... Read More

Abstract In this study, the relationship between individuals' cholesterol levels and the width of the sodium ring was investigated. Firstly, iris images were taken of 100 individuals with total cholesterol levels of 200 mg/dL and above. The average grey scale value (AGSV) for each iris image with a sodium ring was calculated. Secondly, the relationship between the AGSV and cholesterol... Read More