Duke Eye Center’s Post

Large language models and their impact in ophthalmology https://hubs.la/Q02dXdK60

While many may assume that ophthalmology and eye annotation are not related, it is in fact a myth. Eye annotation helps in delivering better healthcare and diagnosis to patients with eye issues.  https://lnkd.in/gC7aUnRC #annotation #dataannotation #annotationworld #AI #artificialintellegence #machinelearning #imageannotation

While many may assume that ophthalmology and eye annotation are not related, it is in fact a myth. Eye annotation helps in delivering better healthcare and diagnosis to patients with eye issues. https://lnkd.in/gC7aUnRC #annotation #dataannotation #annotationworld #AI #artificialintellegence #machinelearning #imageannotation

Large language models and their impact in ophthalmology https://hubs.la/Q02dX8Rd0

AI will soon be a must for everyone: surgeons in the OR or in simulation as for students, residents and fellows; and finally for patients between better information and increased security; in rich countries but also, and perhaps especially for education, in low-income countries.

🔎 To start the year off well, “Deemea literature review ! “ is back !!! Deemea team has selected for you the article of the week on #AI & #Orthopedics. 👀 This week, we present an article by Pouria Rouzrokh et al. – published in the The Journal of Bone and Joint Surgery, Inc. in 2022. In order to unlock the full potential of health data, the collection and utilization of such data have become pivotal challenges in the 21st century. Despite the significant boom in health data registries and warehouses, imaging data is underrepresented. The collection and standardization of imaging data face numerous obstacles, a tedious manual curation is then required to ensure the relevance of the selected images. Being aware of this challenge, Rouzrokh et al. established an automated registry of hip and pelvic x-rays for patients who underwent total hip arthroplasty. For the creation of this registry, they developed a suite of deep learning algorithms to automate both the structuring of imaging data and their annotation with 99.9% accuracy and 99.6%  precision. Accelerating the creation of radiographic databases and, more broadly, imaging databases through artificial intelligence is crucial to improve patient care, promote clinical research, and facilitate health surveillance – all contributing to the growing interest in health data. It is with the same goal of expediting the structuring and analysis of imaging data that Deemea provides an all-in-one platform for the management of medical imaging data in the clinical research context.

Performance of Google's Artificial Intelligence Chatbot “Bard” (Now “Gemini”) on Ophthalmology Board Exam Practice ... - Cureus: Performance of Google's Artificial Intelligence Chatbot “Bard” (Now “Gemini”) on Ophthalmology Board Exam Practice ...  Cureus http://dlvr.it/T4tv7g #ai #artificialintelligence

2024 American Academy of Ophthalmology Conference in Chicago Dr. Jason Handza - As we prepare for the 2024 AAO conference, there’s no doubt AI will be a focal point. While the healthcare industry continues to develop and deploy this technology, we’re met with an array of perspectives from enthusiasm to curiosity to skepticism on the #AI frontier. Nextech Systems #AAO2024 https://lnkd.in/eWDcYev4

New article alert! 🚨 In this Ophthalmology Times article, Dr. Nicole Fram tackles the question: Is it a fact or fiction that there aren't enough corneas available? Visit the 🔗 below to read the full article! ⬇️ https://lnkd.in/ejte5UZh

👉🏼 AI-generated text in otolaryngology publications: a comparative analysis before and after the release of ChatGPT 🤓 Jonathan M Carnino 👇🏻 https://lnkd.in/eUspYs5s 🔍 Focus on data insights: - A significant increase in the mean percentage of AI-generated text post-ChatGPT release - Higher percentage of AI-generated text in publications from authors in non-English speaking countries 💡 Main outcomes and implications: - Impact on writing practices among researchers in JAMA Otolaryngology - Head and Neck Surgery - Concerns over the accuracy of AI-created content and potential misinformation risks 📚 Field significance: - Evolving dynamics between AI technologies, scientific communication, and publication integrity - Urgent need for continued research in the field of AI-driven scientific writing 🗄️: [#AI #otolaryngology #ChatGPT #scientificcommunication #AItools]