Search Results (4)

The advancement of generative artificial intelligence (AI) has resulted in its use permeating many areas of life. Amidst this eruption of scientific output, a wide range of research regarding the usage of Large Language Models (LLMs) in ophthalmology has emerged. In this study, we aim to map out the landscape of LLM applications in ophthalmology, and by consolidating the work carried out, we aim to produce a point of reference to guide the conduct of future works. Eight databases were searched for articles from 2019 to 2024. In total, 976 studies were screened, and a final 49 were included. The study designs and outcomes of these studies were analysed. The performance of LLMs was further analysed in the areas of exam taking and patient education, diagnostic capability, management capability, administration, inaccuracies, and harm. LLMs performed acceptably in most studies, even surpassing humans in some. Despite their relatively good performance, issues pertaining to study design, grading protocols, hallucinations, inaccuracies, and harm were found to be pervasive. LLMs have received considerable attention through their introduction to the public and have found potential applications in the field of medicine, and in particular, ophthalmology. However, using standardised evaluation frameworks and addressing gaps in the current literature when applying LLMs in ophthalmology is recommended through this review. Full article

Health systems are increasingly assessing and addressing social needs with referrals to community resources. The objective of this randomized controlled trial was to randomize adult Medicaid members with type 2 diabetes to receive usual care (n = 239) or social needs navigation (n = 234) for 6 months and compare HbA1c (primary outcome), quality of life (secondary outcome), and other exploratory outcomes with t-tests and mixed-effects regression. Eligible participants had an HbA1c test in claims in the past 120 days and reported 1+ social needs. Data were collected from November 2019 to July 2023. Surveys were completed at baseline and at 3-, 6-, and 12-month follow-up. Health plan data included care management records and medical and pharmacy claims. The sample was from Louisiana, USA, M = 51.6 (SD = 9.5) years old, 76.1% female, 66.5% Black, 29.4% White, and 3.0% Hispanic. By design, more navigation (91.5%) vs. usual care (6.7%) participants had a care plan. Social needs persisted for both groups. No group differences in HbA1c tests and values were observed, though the large amount of missing HbA1c lab values reduced statistical power. No group differences were observed for other outcomes. Proactively eliciting and attempting to provide referrals and resources for social needs did not demonstrate significant health benefits or decrease healthcare utilization in this sample. Full article

Due to the COVID-19 pandemic, eLearning became the lifeline of higher education. We explored university educators’ eLearning perspectives, practices, and future adoption intentions. In-depth interviews with 14 educators from a large university in Singapore were conducted. Educators had limited eLearning experience prior to COVID-19 emergency eLearning and expressed strong preferences for in-person sessions. The short notice to switch to eLearning and lack of eLearning experiences created stress and anxiety. Educators responded by making efforts that allowed for teaching to continue, conceding that some expectations had to be readjusted. Despite many obstacles, educators acknowledged reduced apprehension towards eLearning. Reflecting upon their experiences, educators highlighted opportunities and challenges of eLearning. A key opportunity was increased flexibility, which enabled students to learn independently. Additionally, eLearning triggered reflection upon educators teaching which could lead to improved practice. Reduction of some barriers to student–educator interaction were also mentioned. Key challenges include creating social, emotional, and cognitive engagement, catering to diverse student needs and providing holistic learning experiences. Considering opportunities and challenges, educators envisioned that eLearning would feature in their future teaching if practical and helpful for achieving educational goals. Hybrid or blended learning approaches were preferred, but support enabling the implementation of technology-based and pedagogy-informed teaching is necessary. Full article

During the global 2020 COVID-19 outbreak, the advantages of online food delivery (FD) were obvious, as it facilitated consumer access to prepared meals and enabled food providers to keep operating. However, online FD is not without its critics, with reports of consumer and restaurant boycotts. It is, therefore, time to take stock and consider the broader impacts of online FD, and what they mean for the stakeholders involved. Using the three pillars of sustainability as a lens through which to consider the impacts, this review presents the most up-to-date research in this field, revealing a raft of positive and negative impacts. From an economic standpoint, while online FD provides job and sale opportunities, it has been criticized for the high commission it charges restaurants and questionable working conditions for delivery people. From a social perspective, online FD affects the relationship between consumers and their food, as well as influencing public health outcomes and traffic systems. Environmental impacts include the significant generation of waste and its high carbon footprints. Moving forward, stakeholders must consider how best to mitigate the negative and promote the positive impacts of online FD to ensure that it is sustainable in every sense. Full article