Diagnosis and Analysis of Glaucoma using AI and ML for Medical Imaging
- 1st Edition - July 15, 2026
- Latest edition
- Editor: Mohammad Sufian Badar
- Language: English
Diagnosis and Analysis of Glaucoma Using AI and ML for Medical Imaging highlights the importance of early detection while also discussing and updating on current treatment option… Read more
Description
Description
Diagnosis and Analysis of Glaucoma Using AI and ML for Medical Imaging highlights the importance of early detection while also discussing and updating on current treatment options to slow disease progression, emphasizing the role of artificial intelligence (AI) and machine learning (ML) in improving diagnosis and management. Sections explore causes, symptoms, diagnostic challenges, and treatment strategies for glaucoma, integrating insights on how AI and ML models can enhance healthcare delivery. Practical case studies and discussions on how accessible AI tools can be utilized by healthcare workers, NGOs, students, and researchers to address diagnostic barriers prevalent in resource-limited settings are included.
This targeted resource is aimed at increasing understanding of this often asymptomatic, progressive eye disease, particularly in developing countries. Healthcare professionals, students, and policymakers will find this resource valuable with its straightforward, easy-to-understand, curriculum-aligned content. Its emphasis on practical applications and awareness-building makes it a valuable tool for advancing glaucoma care and fostering interdisciplinary collaboration in eye health.
This targeted resource is aimed at increasing understanding of this often asymptomatic, progressive eye disease, particularly in developing countries. Healthcare professionals, students, and policymakers will find this resource valuable with its straightforward, easy-to-understand, curriculum-aligned content. Its emphasis on practical applications and awareness-building makes it a valuable tool for advancing glaucoma care and fostering interdisciplinary collaboration in eye health.
Key features
Key features
- Demonstrates how AI and ML are applied in glaucoma diagnosis and management
- Employs clear, precise language that makes complex concepts accessible to readers without a computer science background
- Provides detailed case studies and implementation guidelines, enabling researchers and practitioners to translate theoretical AI techniques into real-world diagnostic tools
Readership
Readership
AI researchers, data scientists, and machine learning practitioners interested in applying their skills to healthcare challenges, particularly in medical imaging and ophthalmology
Table of contents
Table of contents
1 Epidemiology of glaucoma and role of glaucoma screening in diagnosis
Mohammad Sufian Badar, Adil Amraz Shah, Yaqoot Khan, Rafat Parveen, Jamshed Quaisar, Azfar Kamal, Ahmad Karimi, Naila Perween, Assad Mahmood and Aqeel Khalique
2 Anatomy and physiology of eye
Mohammad Sufian Badar, Misbah Jahan Jahan, Md Omair Ahmad, Aafia Tasneem, Junaid Alam, Mohd Mobarak Hussain, Shomaila Maiman, Shadab Ashfi and Zeyaul Haque
3 Impact of current glaucoma medication of ocular surface
Mohammad Sufian Badar, Asma Maheen, Afzal Ahmad, Aamir Hussain, Ayesha Kamal, Humaira Tasneem, Shaista Parveen, Tasneem Bano Rehman, Sharique Hussain, Shahid Manzoor, Nabeel Haneefa and Nafisur Rahman
4 Applications of artificial intelligence techniques in healthcare and disease treatment
Zainab Naseer, Md Anwer, Md Abdul Ilah, Md Onais Ahmad and Mohammad Sufian Badar
5 Monitoring glaucoma progression
Mohammad Sufian Badar, Atifa Arshad, Syed Hakeem, Naima Saman, Naushad Rizvi, M. Hoda, Ramdas Pai, Mohammad Ali, Rehana Sadia, Rahul Sharma, Sajjad Haider and Shah Alam
6 Challenges of glaucoma diagnosis for developing countries
Tabish Basarat, Akhtar Hussain, Sabia Abdul Bano, Madiha Maswood and Mohammad Sufian Badar
7 Integrating multiple machine learning and optimization techniques for superior disease prediction
Ahmed Mohsin Ali, Zeeshan Ali Haq, Bushra Khatoon Zaidi and Mohammad Sufian Badar
8 Diagnosis and care of glaucoma patients in developing countries
Mohammad Sufian Badar, Shahira Sadaf, Mohammad Rehan Badar, Noora Noora, Aamir Nehal, Amir Subhani, Mohammad Irfan, Shikha Gupta, Javaid Sheikh, Anima Sushim Mathur, Asfia Aziz and Asma Maheen
9 Genetics, types, and risk factors associated with glaucoma
Mohammad Sufian Badar, Anam Veqar, Zoobah Tasneem, Nadeem Jilani, Sarah Sufian Badar, Shakeel Ahmad, Labeebah Rizwan Badar, Sushim Mathur, Abul Azad, Shamsheer Alam and Faraz Doja
10 Glaucoma imaging techniques and its classification using artificial intelligence
Mohammad Sufian Badar, Chhavi Dudeja, Yukti Sabikhi, Sameen Masroor, Anshika Singh and Richa Sanka
11 The impact of artificial intelligence and machine learning in the diagnosis and management of glaucoma
Mohammad Sufian Badar, Atifa Arshad, Muhammad Abulaish, Ravindra Kumar, Safdar Tanweer, Mohammad Bokhari and Humaira Farooqi
12 Accuracy of glaucoma diagnosis by artificial intelligence and machine learning in screening and clinical practice
Budheswar Dehury, Akshay Krishnamurthy Hegde and Shashank Rao Padubidri
13 Necessity of making glaucoma diagnosis more accessible in developing countries
Taiba Shamim, Asim Zafar, Zafar Hassan, Saoud Sarwar, Abdullah Bin Maswood and Mohammad Sufian Badar
14 Future prospects necessity of making glaucoma diagnosis more accessible in developing countries
Sarbani Mishra and Vojˇ cKocman
Mohammad Sufian Badar, Adil Amraz Shah, Yaqoot Khan, Rafat Parveen, Jamshed Quaisar, Azfar Kamal, Ahmad Karimi, Naila Perween, Assad Mahmood and Aqeel Khalique
2 Anatomy and physiology of eye
Mohammad Sufian Badar, Misbah Jahan Jahan, Md Omair Ahmad, Aafia Tasneem, Junaid Alam, Mohd Mobarak Hussain, Shomaila Maiman, Shadab Ashfi and Zeyaul Haque
3 Impact of current glaucoma medication of ocular surface
Mohammad Sufian Badar, Asma Maheen, Afzal Ahmad, Aamir Hussain, Ayesha Kamal, Humaira Tasneem, Shaista Parveen, Tasneem Bano Rehman, Sharique Hussain, Shahid Manzoor, Nabeel Haneefa and Nafisur Rahman
4 Applications of artificial intelligence techniques in healthcare and disease treatment
Zainab Naseer, Md Anwer, Md Abdul Ilah, Md Onais Ahmad and Mohammad Sufian Badar
5 Monitoring glaucoma progression
Mohammad Sufian Badar, Atifa Arshad, Syed Hakeem, Naima Saman, Naushad Rizvi, M. Hoda, Ramdas Pai, Mohammad Ali, Rehana Sadia, Rahul Sharma, Sajjad Haider and Shah Alam
6 Challenges of glaucoma diagnosis for developing countries
Tabish Basarat, Akhtar Hussain, Sabia Abdul Bano, Madiha Maswood and Mohammad Sufian Badar
7 Integrating multiple machine learning and optimization techniques for superior disease prediction
Ahmed Mohsin Ali, Zeeshan Ali Haq, Bushra Khatoon Zaidi and Mohammad Sufian Badar
8 Diagnosis and care of glaucoma patients in developing countries
Mohammad Sufian Badar, Shahira Sadaf, Mohammad Rehan Badar, Noora Noora, Aamir Nehal, Amir Subhani, Mohammad Irfan, Shikha Gupta, Javaid Sheikh, Anima Sushim Mathur, Asfia Aziz and Asma Maheen
9 Genetics, types, and risk factors associated with glaucoma
Mohammad Sufian Badar, Anam Veqar, Zoobah Tasneem, Nadeem Jilani, Sarah Sufian Badar, Shakeel Ahmad, Labeebah Rizwan Badar, Sushim Mathur, Abul Azad, Shamsheer Alam and Faraz Doja
10 Glaucoma imaging techniques and its classification using artificial intelligence
Mohammad Sufian Badar, Chhavi Dudeja, Yukti Sabikhi, Sameen Masroor, Anshika Singh and Richa Sanka
11 The impact of artificial intelligence and machine learning in the diagnosis and management of glaucoma
Mohammad Sufian Badar, Atifa Arshad, Muhammad Abulaish, Ravindra Kumar, Safdar Tanweer, Mohammad Bokhari and Humaira Farooqi
12 Accuracy of glaucoma diagnosis by artificial intelligence and machine learning in screening and clinical practice
Budheswar Dehury, Akshay Krishnamurthy Hegde and Shashank Rao Padubidri
13 Necessity of making glaucoma diagnosis more accessible in developing countries
Taiba Shamim, Asim Zafar, Zafar Hassan, Saoud Sarwar, Abdullah Bin Maswood and Mohammad Sufian Badar
14 Future prospects necessity of making glaucoma diagnosis more accessible in developing countries
Sarbani Mishra and Vojˇ cKocman
Product details
Product details
- Edition: 1
- Latest edition
- Published: July 15, 2026
- Language: English
About the editor
About the editor
MB
Mohammad Sufian Badar
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.
Affiliations and expertise
Senior Teaching Faculty, Department of Bioengineering, University of California, Riverside, CA, USAView book on ScienceDirect
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