Diagnosis and Analysis of Glaucoma using AI and ML for Medical Imaging

Mohammad Sufian Badar, PhD, is a Professor (temporary) in the Department of Computer Science and Engineering, SEST, Jamia Hamdard, New Delhi, India. Previously, he was Senior Teaching Faculty at UC Riverside, CA, United States, and an Analytics Architect at CenturyLink in Denver, CO, United States. He holds an MS in Molecular Science and Nanotechnology and a PhD in Engineering from Lusiana Tech University. Before that, he earned an MSc. in Bioinformatics from Jamia Millia Islamia, New Delhi. With over 18 years of teaching, research, and industry experience, Dr. Sufian has published in conferences and journals, authored chapters on AI, ML, Blockchain, IoT, Computational Biology, and has six books with Elsevier, Springer, and Bentham. His area of interest is in AI, ML, Computational Biology, and the integration of AI/ML with Health Sciences.

• 1 Epidemiology of glaucoma and role of glaucoma screening in diagnosis2 Anatomy and physiology of eye3 Impact of current glaucoma medication of ocular surface4 Applications of artificial intelligence techniques in healthcare and disease treatment5 Monitoring glaucoma progression6 Challenges of glaucoma diagnosis for developing countries7 Integrating multiple machine learning and optimization techniques for superior disease prediction8 Diagnosis and care of glaucoma patients in developing countries9 Genetics, types, and risk factors associated with glaucoma10 Glaucoma imaging techniques and its classification using artificial intelligence11 The impact of artificial intelligence and machine learning in the diagnosis and management of glaucoma12 Accuracy of glaucoma diagnosis by artificial intelligence and machine learning in screening and clinical practice13 Necessity of making glaucoma diagnosis more accessible in developing countries14 Future prospects necessity of making glaucoma diagnosis more accessible in developing countries