Artificial intelligence in ophthalmology.

IF 3 2区医学 Q1 OPHTHALMOLOGY

Current Opinion in Ophthalmology Pub Date : 2024-11-28 DOI:10.1097/ICU.0000000000001111

Ava S Khossravi, Qingyu Chen, Ron A Adelman

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引用次数: 0

Abstract

Purpose of review: To review role of artificial intelligence in medicine.

Recent findings: Artificial intelligence is continuing to revolutionize access, diagnosis, personalization of medicine, and treatment in healthcare. As a matter of fact, artificial intelligence contributed to the research that resulted in 2024 Nobel Prizes in physics, chemistry, and economics. We are only at the tip of the iceberg in utilizing the abilities of artificial intelligence in medicine to improve accuracy of diagnoses and to enhance patient outcomes. Artificial intelligence has allowed better image analysis, prediction of progression of disease, personalized treatment plans, incorporations of genomics, and improved efficiency in care and follow-up utilizing home monitoring. In ocular health diagnosis and treatment of diabetic retinopathy, macular degeneration, glaucoma, corneal infections, and ectasia are only a few examples of how the power of artificial intelligence has been harnessed. Even though there are still challenges that need more work in the areas of patient privacy, Health Insurance Portability and Accountability Act (HIPAA) compliance, reliability, and development of regulatory frameworks, artificial intelligence has revolutionized and will continue to revolutionize medicine.

Summary: Artificial intelligence is enhancing medical diagnosis and treatment, as well as access and prevention. Ocular imaging, visual outcome, optics, intraocular pressure, and data points will continue to see growth it the field of artificial intelligence.

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眼科人工智能。

回顾的目的：回顾人工智能在医学中的作用：人工智能正在不断彻底改变医疗保健领域的获取、诊断、个性化医疗和治疗。事实上，人工智能为 2024 年诺贝尔物理学奖、化学奖和经济学奖得主的研究做出了贡献。在利用人工智能的医学能力提高诊断准确性和改善患者治疗效果方面，我们还只是处于冰山一角。人工智能可以更好地进行图像分析、预测疾病进展、制定个性化治疗方案、结合基因组学、利用家庭监测提高护理和随访效率。在眼部健康方面，糖尿病视网膜病变、黄斑变性、青光眼、角膜感染和眼外伤的诊断和治疗只是利用人工智能力量的几个例子。尽管在患者隐私、《健康保险可携性与责任法案》（HIPAA）合规性、可靠性和监管框架的发展等方面仍存在挑战，但人工智能已经并将继续彻底改变医学。眼科成像、视觉结果、光学、眼压和数据点将在人工智能领域继续增长。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Current Opinion in Ophthalmology 医学-眼科学

CiteScore

6.80

自引率

5.40%

发文量

120

审稿时长

6-12 weeks

期刊介绍： Current Opinion in Ophthalmology is an indispensable resource featuring key up-to-date and important advances in the field from around the world. With renowned guest editors for each section, every bimonthly issue of Current Opinion in Ophthalmology delivers a fresh insight into topics such as glaucoma, refractive surgery and corneal and external disorders. With ten sections in total, the journal provides a convenient and thorough review of the field and will be of interest to researchers, clinicians and other healthcare professionals alike.