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 Table of Contents  
Year : 2021  |  Volume : 59  |  Issue : 3  |  Page : 231-232

It is time to embrace artificial intelligence

Department of Cornea, Regional Institute of Ophthalmology and Government Ophthalmic Hospital, Chennai, Tamil Nadu, India

Date of Submission19-Aug-2021
Date of Acceptance19-Aug-2021
Date of Web Publication09-Sep-2021

Correspondence Address:
Dr. Sharmila Devi
Department of Cornea, Regional Institute of Ophthalmology and Government Ophthalmic Hospital, Chennai, Tamil Nadu
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/tjosr.tjosr_130_21

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How to cite this article:
Devi S. It is time to embrace artificial intelligence. TNOA J Ophthalmic Sci Res 2021;59:231-2

How to cite this URL:
Devi S. It is time to embrace artificial intelligence. TNOA J Ophthalmic Sci Res [serial online] 2021 [cited 2022 Oct 6];59:231-2. Available from: https://www.tnoajosr.com/text.asp?2021/59/3/231/325721

Dear Seniors and Friends,

Greetings from the office of TJOSR.

The warmth and enthusiasm with which the previous issue of TJOSR was received not only delighted us but also inspired us to strive to achieve greater heights. We present to you the July–September 2021 issue of the TJOSR with great pleasure and the fervent hope that you find this issue just as interesting and informative as the previous one.

Knowing is not enough; we must apply-Leonardo da vinci.

“Artificial intelligence (AI) can be loosely defined as the study of algorithms that give machines the ability to reason and perform cognitive functions such as problem solving, object and word recognition, and decision-making”[1]

AI has taken the world by storm and converted what was fascinating fiction just a few short years ago into a delightful reality. Unmanned planes, automated driverless cars, facial recognition, etc., are all set to revolutionize our lifestyle. The application of AI in the diagnosis of ocular diseases including diabetic retinopathy, glaucoma, age-related macular degeneration and cataract, the four leading causes of adult blindness, has been recently reviewed by Lu et al.[2] AI, machine learning, and data science are expected to emerge as the key drivers of the future and provide ophthalmologists with path-breaking automated diagnostic tools.

The practice of modern ophthalmology not only demands clinical acumen and surgical skills but also familiarity with the rapidly evolving technology used in the field. As surgeons, we bear the responsibility of offering our patients not only the best surgical techniques but also the latest available technology which would help us achieve the best possible results.

Navigation-assisted orbital surgery is one such technology. If, like me, you have watched in awe images of urologists using the da Vinci robotic system, Dr. Priti Udhay's article on the use of navigation assisted surgery in the management of orbital trauma is sure to fascinate you. Fusion of real-time images with those from a preoperative magnetic resonance imaging/computed tomography scan or alternatively the Atlas of Anatomy can provide the operating surgeon with invaluable information invisible to the naked eye, such as the dangerous proximity of the scalpel to major vessels, thereby reducing, significantly, the incidence of surgical complications. As an interesting aside, the da Vinci system was named so because it was Leonardo da Vinci's study of the human anatomy which led to the design and invention of the first robot.

An expedited article by Dr. Jayashree, Dr. Viji Rangarajan, and Dr. Veena Noronha throws light on the role of imaging techniques and the indications for exenteration in the management of rhino orbital cerebral mucormycosis. There is also an extensive review of literature by Dr. Bharat Gurnani and Dr. Kirandeep Kaur of Arvind Hospital, Pondicherry, on the current approaches in the surgical management of dry eye.

A bouquet of case reports from different subspecialties, several good original articles, and our regular features such as the journal scan and photo quiz make up the rest of the issue.

The National eye donation fortnight is observed from August 25 to September 8. This is a national event run under the National Programme for Control of Blindness with the purpose of promoting eye donations. The COVID-19 pandemic which has had a significant impact on the donor cornea pool has further widened the gap between demand and supply and it is very essential to create awareness among people.

We hope to connect with you all at the Madras Icon 2021, the 68th annual conference of the Tamil Nadu ophthalmic association, which is scheduled to be held from the 10th to the 12th of September, 2021. The organizing committee has planned a unique hybrid conference which will enable you to enjoy the scientific treat at the click of a mouse, from the comfort of your home. We will also be giving away awards to the best original article, the best review article, and the best-case report during the conference. As always, we look forward to your support and hope that you will all register and make the conference a resounding success.

I'll sign off by thanking the authors for their contribution, the reviewers for meeting the deadlines, and the editorial team for their coordinated effort.

  References Top

Bellman R. An Introduction to Artificial Intelligence: Can Computers Think? Boyd and Fraser publishing company,San Francisco: Thomson Course Technology; 1978.  Back to cited text no. 1
Lu W, Tong Y, Yu Y, Xing Y, Chen C, Shen Y. Applications of artificial intelligence in ophthalmology: General overview. J Ophthalmol 2018;2018:5278196.  Back to cited text no. 2

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