This book provides clinicians with the tools to effectively detect, classify and treat astigmatism to ensure more personalised and accurate care for patients. Complex cases such as keratoconus and post-surgical irregularities are highlighted to enhance understanding of difficult presentations and equip professionals with the knowledge and strategies necessary to meet the challenges of modern optometry and ophthalmology. The book also incorporates the latest advances in artificial intelligence (AI) for the diagnosis and treatment of astigmatism. AI technologies such as machine learning, deep learning, large language models, predictive analysis and image recognition are examined in the book for diagnostic accuracy and treatment planning, particularly in complex cases such as keratoconus. This integration of AI bridges the gap between traditional practice and cutting-edge technology, enabling clinicians and researchers to improve patient outcomes and advance the field.

Astigmatism: Clinical Diagnosis and Management is an essential resource for ophthalmologists, optometrists and vision scientists  seeking to improve the standard of care for people with astigmatism and contribute to better visual outcomes and quality of life for patients.  

Mehrdad Mohammadpour is a Professor of Ophthalmology at Tehran University of Medical Sciences (TUMS) and a cornea and refractive surgery specialist at Farabi Eye Hospital, Tehran, Iran. His clinical and research expertise includes corneal diseases, keratoconus, corneal cross-linking and transplantation, refractive and cataract surgery, advanced ocular imaging, and artificial intelligence in ophthalmology. He has performed more than 10,000 ophthalmic surgeries and authored more than 130 scientific publications and book chapters. He has trained more than 300 ophthalmology residents, fellows, and medical students, served as a reviewer for international ophthalmic journals, and lectured at national and international scientific conferences. Dr Mohammadpour is also the editor of Diagnostics in Ocular Imaging: Cornea, Retina, Glaucoma and Orbit, published by Springer Nature, and Keratoconus: Optical and Surgical Management, published by Taylor & Francis.

Zahra Heidari is a top-ranked PhD graduate in Optometry and Vision Science from Tehran University of Medical Sciences (TUMS) and is currently a Postdoctoral Fellow at Lakehead University, Canada. She previously served as an Assistant Professor of Optometry at Mazandaran University of Medical Sciences (MAZUMS), Iran. Dr Heidari has contributed extensively to ophthalmic research, with more than 40 scientific articles and book chapters, including contributions to books published by Springer Nature and Taylor & Francis. Her research focuses on corneal diseases, refractive errors, advanced ocular imaging, systematic reviews and meta-analyses, and the application of artificial intelligence (AI) in ophthalmology. She has supervised medical student research projects and theses, served as a reviewer for international scientific journals, and presented her work at national and international scientific conferences.