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MS, DNB, FRCS'Ed, MFST'Ed, DSc
Dr. Rajiv Raman is a distinguished retinal surgeon and innovative researcher with vast experience in medical and surgical retinal procedures and proficiency in retina-focused research. His primary focus lies in retinal image analysis and cutting-edge retinal imaging methodologies. As the leader of the diabetic retinopathy project group at Sankara Nethralaya, Dr. Raman's work is highly influential.
In addition to his research and surgical accomplishments, Professor Rajiv is a skilled educator, serving as a visiting professor at Anglia Ruskin University in Cambridge. He has successfully mentored and supervised many M.Phil and Ph.D. students throughout his career. With an impressive track record of over 300 publications and ten book chapters, Dr. Raman has earned numerous accolades for his work in the field.
As the National Diabetic Retinopathy Expert, he stands out as one of the most inventive retinal specialists and researchers currently active in India.
Practice | Vitreoretinal services
Practice | Vitreoretinal services
With more than two decades of experience as a retinal surgeon, Dr. Rajiv Raman has established himself as a foremost authority in the field. His unwavering commitment to exceptional patient care and meticulous attention to detail have earned him widespread recognition. Dr. Raman's empathetic bedside manner and attentiveness to patients' concerns ensure their comfort and confidence throughout treatment.
Beyond his clinical practice, Professor Raman is deeply engaged in medical education. As a highly sought-after speaker, he presents at conferences and workshops around the globe, sharing his knowledge and inspiring future generations of ophthalmologists.
Career
Career
Growing up with a solid work ethic and a passion for helping others, Dr. Raman was inspired to pursue a medical career, specifically in ophthalmology. He completed his medical degree at MGM Medical College, Indore. He excelled academically and gained recognition for his outstanding performance in various fields.
Dr. Raman continued his education by earning an M.S. from Government Medical College, Surat, Gujarat. Subsequently, he completed a fellowship in vitreoretinal diseases at Sankara Nethralaya Eye Hospital in Chennai. Dr. Raman also received a Fellowship from the Royal College of Ophthalmologists, Edinburgh, and was awarded a Doctorate of Health Sciences from Anglia Ruskin University, Cambridge, UK.
Team building
Team building
Dr. Raman identified individuals with diverse skill sets, backgrounds, and areas of expertise to foster a collaborative and innovative research environment. By assembling a team of researchers who complement one another, he could capitalize on each member's unique strengths, encouraging the exchange of ideas and the development of novel approaches. In addition to technical expertise, a strong emphasis was placed on selecting team members with excellent communication, problem-solving, and interpersonal skills, which are essential for effective teamwork. Finally, he took on the role of a mentor, providing guidance, resources, and support to the team while fostering an atmosphere of trust, respect, and open communication to promote the overall success and growth of the research team.
Academic areas of interest
Academic areas of interest
Dr. Raman is a dedicated researcher with a primary focus on epidemiology and various eye diseases, notably diabetic retinopathy and age-related macular degeneration. He is particularly intrigued by the potential of tele-screening methods for diabetic retinopathy and retinopathy of prematurity, in addition to utilizing advanced imaging techniques like wide-field retinal imaging and optical coherence tomography (OCT). To gain a comprehensive understanding of ocular health, Dr. Raman also conducts research on functional tests such as contrast sensitivity and color vision evaluations. Furthermore, he actively explores the applications of deep learning algorithms in the field of ophthalmology, with the ultimate goal of developing automated systems for more accurate disease diagnosis and effective management.
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