¶¶Òõ¶ÌÊÓƵ
Back to
Rehana Khan Tajuddin Mohamed Akthar Khan

Rehana Khan Tajuddin Mohamed Akthar Khan

PhD Candidate
Postgraduate Research Student
Medicine & Health
School of Optometry and Vision Science

Research title: Development and validation of artificial intelligence based deep learning algorithm for the prediction of systemic and ocular abnormalities from retinal optical coherence tomography and fundus photographs.

Supervisor: Dr Maitreyee Roy

Co-supervisors: Dr Vinod Maseedupally, Dr Rajiv Raman

Research Abstract: 

In recent years, ophthalmology has seen incredible progress in high-resolution imaging techniques. Retinal photography and optical coherence tomography (OCT) are now commonly used in eye hospitals and for screening purposes. These imaging methods are highly valuable in diagnosing eye conditions, but they also show promise in identifying signs of systemic diseases. While we have made significant strides in understanding the relationship between the eye and the body using traditional statistical models, the use of artificial intelligence (AI) in treating critical disorders is still in its early stages.

Our project’s aim is to develop and validate a deep-learning model that can predict systemic diseases using retinal OCT and fundus photographs. By leveraging AI, we aim to advance medical innovation and transform the way these conditions are diagnosed and managed.

Through this research, we hope to uncover hidden insights within ocular imaging data and gain a better understanding of how the eye can provide indications of systemic diseases. In this era of technological advancements, we envision a future where ocular assessments play a vital role in detecting and monitoring systemic diseases. Our research goal is to revolutionize healthcare by using the eye as a window into overall health, ultimately enhancing patient well-being.

Biography

Rehana Khan Tajuddin Mohamed Akthar Khan is a PhD candidate at the School of Optometry and Vision Science (SOVS), UNSW. Her research focuses on utilizing artificial intelligence algorithms for the prediction of ocular and systemic diseases. With a BS Optometry degree from the Elite School of Optometry, India, she has valuable experience as a clinical and research optometrist. Rehana has made notable contributions through her published works and peer-reviewed journal reviews. Alongside her PhD studies, she also serves as an associate lecturer, imparting her knowledge and expertise in Optics courses to undergraduate optometry students at UNSW.

Education:

PhD Student at UNSW, School of Optometry and Vision Science, 2022- current

Bachelor of Optometry and Vision Science, Elite School of Optometry & Birla Institute of Technology and Science (BITS), India, 2015

Conference attendance:

Khan, R. (2019). Revised Glycemic index for diagnosis and monitoring of diabetes mellitus in South Indian population. ARVO-INDIA, 26th Indian Eye Research Group Meeting.

Raman, R., Saha, S., Frost, S., Khan, R., Sharma, T., & Kanagasingam, Y. (2020). Assessment of vessel parameters as a micro vascular biomarker using a retinal vessel analysis system (VASP). Investigative Ophthalmology & Visual Science, 61(7), 496-496. ARVO annual meet 2020.

Khan, R., Chandra, S., Ramachandran, R., Rani, P. K., Anantharaman, G., Sen, A., ... & Raman, R. (2020). A collaborative multicenter retrospective study on the prevalence and incidence of visual impairment and blindness in patients presenting with active proliferative diabetic retinopathy in India. Investigative Ophthalmology & Visual Science, 61(7), 3825-3825. ARVO annual meet 2020.

Rizza, A. N., Susarla, G., Khan, R., Wang, V., Brustoski, K., Sarangapani, S., ... & Sobrin, L. (2020). Risk factors for proliferative diabetic retinopathy and diabetic macular edema in the South Indian population. Investigative Ophthalmology & Visual Science, 61(7), 4842-4842. ARVO annual meet 2020.

Han S, Rizza AN, Khan R, Li A, Chan W, Susarla G, Lains I, Brustoski K, Khetan V, Raman R, Iyengar SK. Risk factors for optical coherence tomography-assessed center-involving diabetic macular edema in a South Indian population. Investigative Ophthalmology & Visual Science. 2021 Jun 21;62(8):1127-. ARVO annual meet 2021. 

Khan, R. (2021). . 2nd IVI International Optometry Conference, 2021.

Awards:

Best poster presentation award in the 2nd India Vision Institute (IVI) International Optometry Conference, 2021

University Postgraduate Award (Stipend for 2022 - 2025), UNSW

UNSW School of Optometry and Vision Science: Diabetes Research Grant from the Elizabeth O’Beirne and Robert and Emmy Mather Trust Fund, 2023

Mentee, Industry Mentoring Network in STEM (IMNIS), 2023

Affiliations and memberships:

2020-present: Association of Research in Vision and Ophthalmology (ARVO), member-in-training

2022-present: American Academy of Optometry (AAO) 

2022-present: Member of Vision Science Academy
Email

rehana.khan@unsw.edu.au

    1. Rehana Khan TM, Bhandari V, Raman S, Vyas A, Raman A, Roy M, Raman R. Image Processing in Retinal Imaging. InDigital Eye Care and Teleophthalmology: A Practical Guide to Applications 2023 Jun 20 (pp. 99-118). Cham: Springer International Publishing.
    1. Khan R, Singh S, Surya J, Sharma T, Kulothunga V, Raman R. Age of onset of diabetes and its comparison with prevalence and risk factors for diabetic retinopathy in a rural population of india. Ophthalmic research. 2019;61(4):236-42.
    2. Agrawal R, Jain M, Khan R, Jaisankar D, Xin W, Ding J, Testi I, Raman R, Biswas J. Choroidal Structural Changes in Sympathetic Ophthalmia on Swept-Source Optical Coherence Tomography. Ocular Immunology and Inflammation. 2019 Nov 2:1-6.
    3. Khan R, Chandra S, Rajalakshmi R, Rani PK, Anantharaman G, Sen A, Desai A, Roy R, Natarajan S, Chen L, Chawla G. Prevalence and incidence of visual impairment in patients with proliferative diabetic retinopathy in India. Scientific Reports. 2020 Jun 29;10(1):1-8.
    4. Khan R, Shanmugam M, Ramanjulu R, Chablani J, Singh N, Oli A, Raman R. Influence of segmental supply of Cilioretinal artery on morphology of diabetic macular edema. BMC ophthalmology. 2021 Dec;21(1):1-6. 
    5. Khan R, Surya J, Rajalakshmi R, Rani PK, Anantharaman G, Gopalakrishnan M, Sen A, Desai A, Roy R, Natarajan S, Chen L. Need for vitreous surgeries in proliferative diabetic retinopathy in 10 years follow-up: India Retinal Disease Study (IRDS) group Report no. 2. Ophthalmic Research. 2020 Nov 3.
    6. Tang F, Luenam P, Ran AR, Quadeer AA, Raman R, Sen P, Khan R, Giridhar A, Haridas S, Iglicki M, Zur D. Detection of Diabetic Retinopathy from Ultra-Wide Field Scanning Laser Ophthalmoscope Images: A Multi-Center Deep-Learning Analysis. Ophthalmology Retina. 2021 Feb 1.
    7. Rehana Khan; Abhishek Sharma; Raghul Ravikumar; Avani Parekh; Ramya Srinivasan; Ronnie Jacob George; Rajiv Raman. Association between Gut Microbial Abundance and Diabetic Retinopathy. Investigative Ophthalmology & Visual Science.
    8. Khan R, Raman S, Karamcheti SK, Srinivasan S, Sharma A, Surya J, Bhende M, Ramasamy K, Verma A, Raman R. Comparison of Two Ultra-Widefield Cameras with High Image Resolution and Wider View for Identifying Diabetic Retinopathy Lesions. Translational vision science & technology. 2021 Oct 4;10(12):9-.
    9. Khan R, Surya J, Agarwal R, Sharma T, Raman R. Revised Glycemic Index for Diagnosing and Monitoring of Diabetes Mellitus in South Indian Population. Cureus. 2022 Feb 22;14(2).
    10. Khan R, Saha SK, Frost S, Kanagasingam Y, Raman R. The Longitudinal Assessment of Vascular Parameters of the Retina and Their Correlations with Systemic Characteristics in Type 2 Diabetes—A Pilot Study. Vision. 2022 Jul 20;6(3):45.
    11. Susarla G, Rizza AN, Li A, Han S, Khan R, Chan W, Lains I, Apivatthakakul A, Brustoski K, Khetan V, Raman R. Younger age, and albuminuria are associated with proliferative diabetic retinopathy and diabetic macular edema in the South Indian GeNetics of DiAbeTic Retinopathy (SIGNATR) Study. Current Eye Research. 2022 Aug 5:1-8.
    12. Cherian J, Giridhar A, Sivaprasad S, Rajalakshmi R, Raman R, Khan R, Prakash N, Rodrigues AM. Predominant peripheral lesions in patients with diabetic retinopathy and its association with systemic comorbidities. Indian Journal of Ophthalmology. 2022 Aug 1;70(8):3021-5.
    13. Gella L, Velu G, Sharma T, Ganesan S, Raman A, Khan R, Surya J, Parekh A, Raman R. Analysis of Light and Dark Pixel Density Areas on SD-OCT in Diabetes—Is It a Marker of Neuronal Degeneration?. InAmbient Intelligence in Health Care: Proceedings of ICAIHC 2022 2022 Nov 23 (pp. 469-474). Singapore: Springer Nature Singapore.
    14. Khan, R., Surya, J., Roy, M., Swathi Priya, M.N., Mohan, S., Raman, S., Raman, A., Vyas, A. and Raman, R., Use of artificial intelligence algorithms to predict systemic diseases from retinal images. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, p.e1506.