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  • Iridology Abstracts
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  • About
    • About Iridology Research
    • Contact Iridology Research
    • Iridology Analysis Assessments
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    • Iridology Courses
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Verification of Iridology in Determining Dysfunctionality of Heart Through Deep-Learning

February 1, 2023 | Abstracts

Abstract: Cardio Vascular Disease (CVD) is a condition that occurs due to heart failure. CVD is one of the significant causes of life loss. If CVD left untreated, it may result in multiple organ failures. Iridology, a class of Complementary and Alternative Medicine, and a non-invasive diagnosing method, has the ability to determine the dysfunctional organ in human. In iridology dysfunctional... Read More

Machine learning and deep learning approach for medical image analysis: diagnosis to detection

January 15, 2023 | Abstracts

Abstract Computer-aided detection using Deep Learning (DL) and Machine Learning (ML) shows tremendous growth in the medical field. Medical images are considered as the actual origin of appropriate information required for diagnosis of disease. Detection of disease at the initial stage, using various modalities, is one of the most important factors to decrease mortality rate occurring due to cancer and tumors.... Read More

Screening and validation of the iris manifestation among patients with hemiplegia – an observational study

January 15, 2023 | Abstracts

Abstract Objectives Understanding and validating the science behind traditional diagnostic methods is a niche area to be explored. Iris diagnosis is one such valuable diagnostic tool used in Naturopathy. In the current study, we have assessed and documented the iris changes observed among patients with hemiplegia with respect to the iridology chart. Methods We recruited 35 patients with hemiplegia which includes both genders. Iris... Read More

Cholesterol Detection Through Iris Using Daugman’s and GLCM Based on K-Means Clustering

November 7, 2022 | Abstracts

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 classification... Read More

Mobile Application for Cholesterol Detection Using Iridology with Image Processing and Support Vector Machine

October 24, 2022 | Abstracts

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 control... Read More

Diabetic Detection Using Iris Images

September 4, 2022 | Abstracts

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 correctly.... Read More

A Study of the Iris Characteristics of Dementia Patients Using the Askeye Iris Analysis AI Solution

September 4, 2022 | Abstracts

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 diseases... Read More

Diabetes Detection Based on Iris Abnormal

September 4, 2022 | Abstracts

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 several... Read More

Medical Diagnosis of Lung Diseases Using Data Mining Techniques from Iris Images: A Retrospective Controlled Study

September 3, 2022 | Abstracts

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 and... Read More

Deep Learning-Based Verification of Iridology in Diagnosing Type II Diabetes Mellitus

September 3, 2022 | Abstracts

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 as... Read More

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