Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Comprehensive Study on Computer-Aided Cataract Detection, Classification, and Management Using Artificial Intelligence Subject The topic of the resource Artificial intelligence; Cataract; Machine learning Description An account of the resource The day-to-day popularity of computer-aided detection is increasing medical field. Cataract is a main cause of blindness in the entire world. Compared with the other eye diseases, computer-aided development in the area of cataract is remaining underexplored. Several researches are done for automated detection of cataract. Many study groups have proposed many computer-aided systems for detecting cataract, classifying the different type, identification of stages, and calculation of lens power selection prior to cataract surgery. With the advancement in the artificial intelligence and machine learning, future cataract-related research work can undergo very useful achievements in the coming days. The paper studies various recent researches done related to cataract detection, classification, and grading using various artificial intelligence techniques. Various comparisons are done based on the methodology used, type of dataset, and the accuracy of various methodologies. Based on the comparative study, research gap is identified, and a new method is proposed which can overcome the disadvantages and gaps of the studied work. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Saju B.; Rajesh R. Source A related resource from which the described resource is derived Lecture Notes on Data Engineering and Communications Technologies, Vol-114, pp. 355-366. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-9416-5_25" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-9416-5_25</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133650119&amp;doi=10.1007%2F978-981-16-9416-5_25&amp;partnerID=40&amp;md5=eb0aa4068a7687f66ba7652834a6bf00" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133650119&amp;doi=10.1007%2f978-981-16-9416-5_25&amp;partnerID=40&amp;md5=eb0aa4068a7687f66ba7652834a6bf00</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23674512 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Saju B., CHIST (Deemed to be University), Bangalore, India, New Horizon College of Engineering, Karnataka, Bangalore, India; Rajesh R., CHIST (Deemed to be University), Bangalore, India