Personalized Care in Eye Health: Exploring Opportunities, Challenges, and the Road Ahead for Chatbots

Abstract

In modern eye care, the adoption of ophthalmology chatbots stands out as a pivotal technological progression. These digital assistants present numerous benefits, such as better access to vital information, heightened patient interaction, and streamlined triaging. Recent evaluations have highlighted their performance in both the triage of ophthalmology conditions and ophthalmology knowledge assessment, underscoring their potential and areas for improvement. However, assimilating these chatbots into the prevailing healthcare infrastructures brings challenges. These encompass ethical dilemmas, legal compliance, seamless integration with electronic health records (EHR), and fostering effective dialogue with medical professionals. Addressing these challenges necessitates the creation of bespoke standards and protocols for ophthalmology chatbots. The horizon for these chatbots is illuminated by advancements and anticipated innovations, poised to redefine the delivery of eye care. The synergy of artificial intelligence (AI) and machine learning (ML) with chatbots amplifies their diagnostic prowess. Additionally, their capability to adapt linguistically and culturally ensures they can cater to a global patient demographic. In this article, we explore in detail the utilization of chatbots in ophthalmology, examining their accuracy, reliability, data protection, security, transparency, potential algorithmic biases, and ethical considerations. We provide a comprehensive review of their roles in the triage of ophthalmology conditions and knowledge assessment, emphasizing their significance and future potential in the field.

Joint Expedition: Exploring the Intersection of Digital Health and AI in Precision Medicine with Team Integration

“…This Special Issue has successfully achieved a significant milestone, featuring 20 contributions (Co)s (excluding this editorial) [9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28].…”

“…The published papers (see Figure 1), according to the selected categories, encompass 1 introductory editorial [9], 7 full scientific articles [10][11][12][13][14][15][16], 5 reviews [17][18][19][20][21], 2 systematic reviews [22,23], 4 perspectives [24][25][26][27], and 1 opinion article [28].…”

“…Ittarat et al [19] highlight in their review how the integration of ophthalmology chatbots in modern eye care represents a significant technological advancement, offering benefits such as improved access to information, enhanced patient interaction, and streamlined triaging. Evaluations have demonstrated their effectiveness in ophthalmology condition triage and knowledge assessment, highlighting both their potential and areas for improvement.…”

“…Twenty distinct contributions [9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28] weave through the intricate fields of the health domain focused on the integration of digital health and AI with precision medicine. These studies, spanning diverse medical domains, collectively leverage several AI and digital health approaches to precision medicine.…”

“…Transitioning to review studies [17][18][19][20][21], they play a critical role in providing essential scientific insights into the consolidation of themes. Importantly, these reviews highlight the pivotal role of AI in shaping the landscape of precision medicine, emphasizing its significance in guiding the current trajectory of research and knowledge consolidation.…”