Daniel S. W. Ting
Orcid: 0000-0003-2264-7174Affiliations:
- Duke-National University of Singapore (NUS) Medical School, Singapore
According to our database1,
Daniel S. W. Ting
authored at least 32 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
IEEE Trans. Medical Imaging, May, 2024
npj Digit. Medicine, 2024
A Proposed S.C.O.R.E. Evaluation Framework for Large Language Models : Safety, Consensus, Objectivity, Reproducibility and Explainability.
CoRR, 2024
CoRR, 2024
Fine-tuning Large Language Model (LLM) Artificial Intelligence Chatbots in Ophthalmology and LLM-based evaluation using GPT-4.
CoRR, 2024
Development and Testing of a Novel Large Language Model-Based Clinical Decision Support Systems for Medication Safety in 12 Clinical Specialties.
CoRR, 2024
Development and Testing of Retrieval Augmented Generation in Large Language Models - A Case Study Report.
CoRR, 2024
Enhancing Diagnostic Accuracy through Multi-Agent Conversations: Using Large Language Models to Mitigate Cognitive Bias.
CoRR, 2024
2023
Federated and distributed learning applications for electronic health records and structured medical data: a scoping review.
J. Am. Medical Informatics Assoc., November, 2023
Big data in corneal diseases and cataract: Current applications and future directions.
Frontiers Big Data, January, 2023
Deep learning system to predict the 5-year risk of high myopia using fundus imaging in children.
npj Digit. Medicine, 2023
Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist.
CoRR, 2023
2022
Author Correction: Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection.
npj Digit. Medicine, 2022
A Novel Interpretable Machine Learning System to Generate Clinical Risk Scores: An Application for Predicting Early Mortality or Unplanned Readmission in A Retrospective Cohort Study.
Proceedings of the AMIA 2022, 2022
2021
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis.
npj Digit. Medicine, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy.
npj Digit. Medicine, 2020
Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection.
npj Digit. Medicine, 2020
2019
Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic study.
npj Digit. Medicine, 2019
Multi-discriminator Generative Adversarial Networks for Improved Thin Retinal Vessel Segmentation.
Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Feature Isolation for Hypothesis Testing in Retinal Imaging: An Ischemic Stroke Prediction Case Study.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Enhanced Detection of Referable Diabetic Retinopathy via DCNNs and Transfer Learning.
Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018
Artificial Intelligence Using Deep Learning in Classifying Side of the Eyes and Width of Field for Retinal Fundus Photographs.
Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018
Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018