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AI Health Summit 2023 – Call for Abstracts

Call for abstracts is now closed!

Calling all innovators!

Join the AI Health Summit 2023 Poster Competition and showcase your AI breakthroughs! Discover the future of AI healthcare and compete for exciting prizes of up to 5,000 SGD!

Don’t miss this incredible opportunity to gain recognition, network with industry experts, and contribute to the advancement of AI in healthcare.

Submit your abstracts today and be part of the AI revolution is the medical field!


7 October

Abstract Submission Deadline

20 October

Final Notification of Acceptance

23 -24 November

Accepted Abstracts

Participants are required to set up their A0 size posters for presentation during during breaks and after conference.

24 November

Top 5 Abstracts

Participants to deliver a 10-minute presentation on stage and engage in a Q&A session as they compete for the top 5 prizes.

*Abstract judging shall be done over two rounds, with at least three reviewers assigned to each abstract.

Poster Competition Award:
1st Prize: 5,000 SGD
2nd Prize: 4,000 SGD
3rd Prize: 3,000 SGD
4th Prize: 2,000 SGD
5th Prize: 1,000 SGD
Travel Grant:
A total of 3 grants will be selected: 500 SGD each 
Only students (undergraduate or graduate) and participants from lower-middle-income economies and low-income economies are eligible.
Participants who want to be considered for travel grant are required to submit necessary supporting documents as a proof of your student status (e.g., student visa or certificate from university) or origin of country (e.g., copy of passport).
Lower-middle-income economies and low-income economies as defined by World Bank:  

Scientific Poster Exhibition


1 Unleashing the power of Protein Language Models for Designing Healthier Sugar Alternatives in the form of Sweet Tasting ProteinsKoh Lian Chye Winston
3Enhancing Thyroid Nodule Segmentation in Ultrasound Images: A Focus on Attention Mechanisms in UNetTan Jen Hong
4Use of Natural Language Processing to Infer Sites of Metastatic Disease from Radiology Reports at ScaleTay See Boon
6Engineering Continual Learning in Optical Coherence Tomography for Enhanced Retinal Disease ClassificationJin Liyuan
7Exploration of Convolutional Neural Network to Detect Colorectal CancerChua Po Siang Bridget
8Diagnostic Performance of Context-Aware Deep Network for Assessing Coronary Artery Stenosis and Plaque in Coronary CT AngiographyLeng Shuang
10Towards Leveraging the Full Potential of Artificial Intelligence in Medicine: Challenges Related to Medical Image DataChristopher Braun
11A Scoping Review of the Clinical Application of Machine Learning in Data-driven Population Segmentation AnalysisLiu Pinyan
12Deep Learning Modelling to Forecast Emergency Department Visits using Calendar, Meteorological, Internet Search and Stock Market PriceChua Ming
13Catch Mi if U Can (AI Clinical Coding Assistant)Rosy Tai
15Maya-AI Powered Insights – A GPT Approach for Navigating HLA-associated Antigens in the Cancer ProteomeLim Jack Wee
19Development of a Generative Artificial Intelligence Metaverse Art Gallery of Image Chronicles (MAGIC): Personalizing Patients’ Medication Journeys as Heroes and VillainsYap Yi-Lwern Kevin
21Automated Triaging of Paediatric Supracondylar Humerus Fractures using Artificial IntelligenceMohammad Ashik Zainuddin
22Towards Revolutionizing Neurological and Orthopaedic Care with AI powered 3D Gait AnalysisPartha Pratim Kundu
25Digitalised Food Intake Documentation for Hospitalised Patients – Food AIKoh Tsingyi
27Using a Novel Kernel Method and Heart Rate n-variability for Sepsis Mortality Prediction at the Emergency DepartmentNiu Chenglin
28Fairness-aware Integral Regression (FAIReg) for Trustworthy Machine Learning in HealthcareLiu Mingxuan
32Impact of Class Imbalance and Missing Values on Machine Learning Algorithms for Bacterial Pneumonia DiagnosisChang Jin Xian Daniel
41Metabolic Digital Twins to Predict Chronic Kidney Disease in Type 2 Diabetes MellitusNaveenah Udaya Surian
44A Semi-Supervised Active Learning Guided Platform for Efficient Medical Image AnnotationShafa Balaram
45Embedding an Online-Learning Micro-Randomized Trial in a Cluster-Randomized Controlled mHealth Study: A Study to Develop Mindfulness and Emotional Regulation in Expectant CouplesYan Xiaoxi
48Gamification of Clinical Decision-Making: Enhancing Healthcare Education with a Multi-Agent LLM ModelNicholas Shannon
50Enhancing Serious Illness Communication Assessment in Advanced Cancer Patients through Natural Language ProcessingNicholas Shannon
51Novel Use of Natural Language Processing for Registry Development in Peritoneal Surface MalignanciesNicholas Shannon
52FedScore: A Privacy-Preserving Framework for Federated Scoring System DevelopmentLi Siqi
53Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical ApproachesLi Siqi
61A Clinical Decision Support Tool to Identify Predictors of Decompensation, Acute-On-Chronic Liver Failure and Mortality in Liver Cirrhosis – a Multicentre SingHealth Chronic Liver Disease Registry (SoLiDaRity-DAM)Hwa Hwa Chung Amber
62Dynamic Multimodal Information Bottleneck for Medical Diagnosis and PrognosisWu Shuang
63Application of Explainable LLMs for Preventive Healthcare Intervention RecommendationsLi Lianjie Anthony
65Unravelling OpenAI API’s Potential in Information Extraction from Scientific ArticlesYip Wan Fen
67The Use of Large Language Models with Adaptive Socratic Questioning to Aid Medical Students’ LearningYong Cai Ling
70Advancing Drug Response Predictions with Hierarchical Geometry-Enhanced Deep LearningChen Yurui
73Multiple Instance Shuffle Transformer for High Accuracy Pancreatic Cancer ROSE Image ClassificationZhang Tianyi
74Advancing Pancreatic Cancer ROSE Image Classification With Multi-Stage Hybrid TransformerZhang Tianyi
76Awareness and Acceptance of AI Chatbots for Adolescent Mental Health and Suicide Prevention: A Parental PrespectiveSharmili Roy
78Predicting Clinically Significant Hematoma Expansion and Outcomes in Patients with Intracerebral HemorrhageToh Min Shuen Emma
81Enhancing the Choroid in Optical Coherence Tomography using Generative AIValentina Bellemo
82CellMix: Enhancing Pathology Image Analysis through Instance Relationship-Centered Data AugmentationZhang Tianyi
83CPIA Dataset: A Comprehensive Pathological Image Analysis Dataset for Self-Supervised Pre-TrainingZhang Tianyi
86Predicting Future Disease Progression from Baseline Fundus Photos using Deep Learning in a Glaucoma Clinic PopulationRuben Hemelings
87Large Language Models for Clinical Decision Support: Retrieval Augmented-Generation vs Fine-Tuning for Prescription RecommendationJin Liyuan
91HealthCarer: LLM-based Daily Health AssistantTang Jiankai
92Artificial Intelligence Education: an Evidence-Based Medicine Approach for Consumers, Translators, and DevelopersFaye Ng & Cheng Haoran
93A Game-Changer in Healthcare: Wound CDSS for Chronic Wound CareTan Yuan Yu David
94Unsupervised Reinforcement Learning in Multiple Environments TRIPOD-AI-Based for Preclinical Optimization in Drug DiscoveryRegina Stephanie Wijaya
96High-Fidelity Low-Field Brain MRI using a Self-Supervised Denoising NetworkXu Runze
101Label-Free Image Quality Assessment of Fetal Brain MRI with Unsupervised Deep LearningLiu Mingxuan
102Corneal Layers Segmentation in Healthy and Pathological Eyes: An Integrated Approach of Adaptive Graph Theory and AIKhin Yadanar Win
105Brain Age Prediction based on MRI Multiscale Features FusionYang Hongjia
107Exploring the Latent Space of Glaucomatous Fundus Images trained with Generative AIRuben Hemelings
108Strengthening Diabetes Care Through AI-Augmented Decision Support: Identifying Erroneous Insulin PrescriptionsWang Xingyao
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