Dr. Abhishek Mandal, an optometrist, researcher, and educator, explains machine learning and artificial intelligence. The talk focuses on how it can benefit the Eyecare industry and what to expect in the future.

1. Defining Machine Learning and Artificial Intelligence (AI) 
2. Human Eye-Computer Interface in AI 
3. Robot-assisted Eye Exam
   1. How does it work? 

Dr. Mandal summarizes the talk with a few take-home points. The session ends with a question and answer segment for the live audience.

The above text has been compiled by the OOLS team and approved by the speaker.

References

Papers

Bozomitu RG, Păsărică A, Tărniceriu D, Rotariu C. Development of an Eye Tracking Based Human-Computer Interface for Real-Time Applications. Sensors (Basel). 2019 Aug 20;19(16):3630.

https://pubmed.ncbi.nlm.nih.gov/31434358/

Iáñez E, Azorin JM, Perez-Vidal C. Using eye movement to control a computer: a design for a lightweight electro-oculogram electrode array and computer interface. PLoS One. 2013 Jul 3;8(7):e67099.

https://pubmed.ncbi.nlm.nih.gov/23843986/

Jacko JA, Barreto AB, Chu JYM, et al. Macular Degeneration and Visual Search: What We Can Learn from Eye Movement Analysis. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2000;44:116–9.

https://journals.sagepub.com/doi/abs/10.1177/154193120004402931

Santos R, Santos N, Jorge PM, Abrantes A. Eye Gaze as a Human-computer Interface. Procedia Technology 2014;17:376–83.

https://www.sciencedirect.com/science/article/pii/S2212017314004836

Charukamnoetkanok, P., Ekkachai, K., Klanarongran, N., Leelasawassuk, T., Komeswarakul, P., Suramethakul, P., Tungpimolrut, K. (2009). Robotic slit-lamp for tele-ophthalmology. Paper presented at the 2009 ICCAS-SICE.

Keane, P., & Topol, E. (2019). Reinventing the eye exam. The Lancet, 394(10215), 2141.