The research was done in collaboration with All India Institute of Medical Sciences (AIIMS), Jodhpur and was funded by the Ministry of Education, Government of India
Indian Institute of Technology Jodhpur researchers have developed a novel computer-aided diagnosis (deep learning) based approach for Hypertensive Retinopathy (HR) detection. Computer-aided diagnosis (CAD) plays an important role in the early identification of HR with high diagnostic accuracy, which is cheap, portable, non-invasive, time-efficient and demands fewer resources.
The work has been published in Biomedical Signal Processing and Control Journal and a detailed review study for Hypertensive Retinopathy Diagnosis has also been published in Computer Methods and Programs in Biomedicine and has been co-authored by Supriya Suman, Research Scholar, Interdisciplinary Research Division: Smart Health Care, IIT Jodhpur, Dr Anil Kumar Tiwari, Professor, Department of Electrical Engineering, IIT Jodhpur, Tejas Ingale, 4th Year – BTech Student, Department of Mechanical Engineering, IIT Jodhpur and Dr Kuldeep Singh, Professor, Department of Paediatrics, AIIMS Jodhpur.
The proposed method will play an important role in the early identification of hypertensive retinopathy with high diagnostic accuracy. Identifying early-stage HR patients will help in the timely and proper treatment before it starts damaging several other organs of the body, including the kidneys, heart, brain, and eyes. The method obtained average accuracy, sensitivity, specificity, and precision of 98.44 per cent, 98.44 per cent, 98.44 per cent, 98.44 per cent, and 98.48 per cent, respectively.
Dr Anil Kumar Tiwari, Professor, Department of Electrical Engineering, IIT Jodhpur, said, “The proposed system will not only provide second opinion to the doctors but can provide better diagnosis accuracy. This system can be used especially in emergency treatment by physicians, neurologists, and ophthalmologists.” The future scope of this research includes the severity grading of HR and several other retinal disease diagnoses including papilledema, glaucoma, age-related Macular Degeneration (AMD), and other non-ocular diseases.
The research was done in collaboration with All India Institute of Medical Sciences (AIIMS), Jodhpur and was funded by the Ministry of Education, Government of India. The Interdisciplinary Program in Smart Health Care programme by IIT Jodhpur-AIIMS Jodhpur facilitated collaborative research, enabling interdisciplinary teams of doctors and engineers to unite in the pursuit of technological advancements in healthcare. The synergy aims to bring about positive impacts on a broader scale, particularly benefiting patients in remote areas with limited access to healthcare facilities.
