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Articles by Mark Chia
Understanding pre-training data effects in retinal foundation models using two large fundus cohorts - Nature Communications
Abstract Medical foundation models, pre-trained on large-scale unlabelled data, show strong performance and data efficiency when adapted to various clinically relevant applications. However, how pre-training data shape the generalisability and fairness of these models remains unexplored. Here we address this using two cohorts from Moorfields Eye Hospital (UK) and the Shanghai Diabetes Prevention Program (China), each containing 904,170 fundus photographs for model pre-training.
Capabilities of GPT-4 in ophthalmology: an analysis of model entropy and progress towards human-level medical question answering
PAK and RD are joint senior authors. X @FaresAntaki, @pearsekeane Contributors Overall responsibility/ guarantor (RD); Conception and design of the study (FA, MAC, PAK and RD); data collection (FA, DM, ST and JE-K); data analysis (FA and C-EG); writing of the manuscript and preparation of figures (FA and MAC); supervision (PAK and RD); review and discussion of the results (all authors); edition and revision of the manuscript (all authors).
Foundation models in ophthalmology
Statistics from Altmetric.com Request Permissions If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways. Retina Imaging Introduction Over the past decade, there has been enormous interest in artificial intelligence (AI), both within healthcare and beyond.
Artificial intelligence to facilitate clinical trial recruitment in age-related macular degeneration
The authors have declared no competing interest. This work was supported by Innovate UK grant number 1008100. Dr. Keane is supported by UK Research & Innovation Future Leaders Fellowship (MR/T019050/1). I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.
Capabilities of GPT-4 in ophthalmology: an analysis of model entropy and progress towards human-level medical question answering
Statistics from Altmetric.com Request Permissions If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways. View Full Text Read the full text or download the PDF:
Exploring the Test-Taking Capabilities of Chatbots
Exploring the Test-Taking Capabilities of Chatbots—From Surgeon to Sommelier Artificial intelligence (AI) large language models and chatbots have garnered global media attention as some of the fastest growing internet applications in history, with a recently released chatbot outperforming popular social media platforms by amassing 100 million active users within just 2 months of its release in November 2022.1 Developed by OpenAI, ChatGPT is an artificial intelligence chatbot with the ability...
Validation of a deep learning system for the detection of diabetic retinopathy in Indigenous Australians
Discussion Our results demonstrate that the DLS was able to identify mtmDR and vtDR with performance similar to or exceeding a retina specialist in a cohort of Indigenous Australians. For the detection of mtmDR, vtDR and all-cause referable DR, sensitivity was considerably higher than the retina specialist.
In cases of PDPA breaches, Individuals can now claim for emotional distress against organisations | JD Supra
October 5, 2022 Desmond Chew, Mark Chia, Gilbert Leong Dentons + Follow x Following x Following - Unfollow Contact To embed, copy and paste the code into your website or blog: Personal Data Protection Act (PDPA) The PDPA provides protection for personal data in Singapore by recognising the rights of individuals to protect their personal data and the need for organisations to only reasonably and appropriately collect, use and disclose such data.
Prevalence of diabetic retinopathy in Indigenous and non-Indigenous Australians: a systematic review and meta-analysis
Discussion Based on our literature search, this is the first systematic review and meta-analysis of DR prevalence in Australia. Our review specifically aimed to identify differences in methodology, characteristics, and outcomes between Indigenous and non-Indigenous subgroups. We found that Indigenous diabetic cohorts tended to be younger, and that quality scores of Indigenous studies were lower.
Beyond anti-VEGF: can faricimab reduce treatment burden for retinal disease?
The introduction of anti-vascular endothelial growth factor (VEGF) medications has had a revolutionary impact on the practice of ophthalmology. For many patients with blinding eye conditions like neovascular (also known as wet) age-related macular degeneration (nAMD) and diabetic macular oedema (DMO), intravitreal anti-VEGF agents provided the first hope for meaningful visual recovery.
CIMB data science challenge - SAS Learning Post
Similar to hunting for Mewtwo (Pokémon), identifying and recruiting talented data scientists is just as elusive. CIMB decided that the best way would be to bring budding data scientist together for a challenge. This will provide candidates the opportunity to win cash prizes along with potential employment with CIMB’s Decision Management division. There was a prize fund of RM 30,000 up for grabs with the top 6 teams taking home a cash prize. The winning team would walk away with RM 12,000.
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