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עמוד בית
Sat, 04.05.24

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February 2024
Orly Gal-Or MD, Alon Tiosano MD, Inbar Perchik BSc, Yogev Giladi MD, Irit Bahar MD

Artificial intelligence in ophthalmology is used for automatic diagnosis, data analysis, and predicting responses to possible treatments. The potential challenges in the application and assimilation of artificial intelligence include technical challenges of the algorithms, the ability to explain the algorithm, and the ability to diagnose and manage the medical course of patients. Despite these challenges, artificial intelligence is expected to revolutionize the way ophthalmology will be practiced. In this review, we compiled recent reports on the use and application of deep learning in various fields of ophthalmology, potential challenges in clinical deployment, and future directions.

February 2021
Gal Antman MD, Alon Tiosano MD, and Irit Bahar MD

Background: The coronavirus disease-2019 (COVID-19) pandemic presented a major medical management challenge to ophthalmology departments throughout Israel.

Objectives: To examine the managerial challenges, actions taken, and insights of directors of ophthalmology departments in Israel during the COVID-19 pandemic.

Methods: We conducted a cross sectional survey of directors of ophthalmology departments during the COVID-19 pandemic while the Israeli population was quarantined.

Results: All 21 directors answered the survey. The majority of the COVID-19 admissions were located in the center of Israel (53%) and Jerusalem (30%). E-communication took a central role in coping with the pandemic with 80% of the directors satisfied with this form of communication; 75% reported a reduction in clinical and surgery volume of at least 25%, and 40% reported reallocations of manpower. Most of the medical staff used gloves, a face shield, disposable robe, and a mask with no uniformity across departments. Cross satisfaction was noted regarding a hospital’s ability to equip the departments. Lack of preparation for post-pandemic era was reported by all directors, but one (95%). Directors sought guidelines and uniformity regarding outpatient referral to the hospital (p = 0.035)

Conclusions: Guidelines via safe digital platforms aid in management decisions and uniformity across departments. Advanced preparation is needed to prevent adverse clinical outcomes and to maintain treatment continuum. Our results can be used to guide and help improve the preparedness of ophthalmology departments during COVID-19 and for future pandemics.

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