Document Type
News Article
Abstract
Artificial Intelligence (AI) methods are increasing in prominence in all fields of medical science and are especially pertinent to modern ophthalmology and dermatology as follows. Diabetes mellitus, a metabolic disorder, has become one of the rapidly increasing health threats both in India and worldwide. The complication of the diabetes associated to retina of the eye is diabetic retinopathy. A patient with the disease must undergo periodic screening of eye. Limited number of specialist ophthalmologists in most of the countries motivates the need for AI for analysis of retinal images. This could reduce the workload of ophthalmologists, also aid in diagnosis. Secondly, Skin is the largest organ of human body. Sometimes, abnormal growth of melanocytes results in the formation of pigmented skin lesions. Some of these lesions are benign or malignant in nature. The malignant lesions termed as melanoma leads to skin cancer with high mortality.
Current techniques for regular screening and assessment of diseases are mostly manual, expensive, and potentially inconsistent requiring highly trained staff. Instead, an AI based system could be used in large scale screening programs, with the potential for significant resource savings, as well as being free from observer bias and fatigue.
- https://doi.org/10.1016/j.bspc.2019.02.013
- https://doi.org/10.1016/j.asoc.2021.107238
- https://doi.org/10.1007/s11548-017-1615-4
- https://doi.org/10.1109/ICSMB.2010.5735398
Publication Date
Spring 10-1-2022
Recommended Citation
Siddalingaswamy, P C, "Design and development of computer-based decision support systems to aid clinicians for screening & early detection of diseases, and better treatment plan." (2022). Technical Collection. 70.
https://impressions.manipal.edu/technical-collection/70
