Abstracts

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!

Timeline:

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: https://datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups

Terms and conditions apply.

Scientific Poster Exhibition

ID	Title	Presenter
1	Unleashing the power of Protein Language Models for Designing Healthier Sugar Alternatives in the form of Sweet Tasting Proteins	Koh Lian Chye Winston
3	Enhancing Thyroid Nodule Segmentation in Ultrasound Images: A Focus on Attention Mechanisms in UNet	Tan Jen Hong
4	Use of Natural Language Processing to Infer Sites of Metastatic Disease from Radiology Reports at Scale	Tay See Boon
6	Engineering Continual Learning in Optical Coherence Tomography for Enhanced Retinal Disease Classification	Jin Liyuan
7	Exploration of Convolutional Neural Network to Detect Colorectal Cancer	Chua Po Siang Bridget
8	Diagnostic Performance of Context-Aware Deep Network for Assessing Coronary Artery Stenosis and Plaque in Coronary CT Angiography	Leng Shuang
10	Towards Leveraging the Full Potential of Artificial Intelligence in Medicine: Challenges Related to Medical Image Data	Christopher Braun
11	A Scoping Review of the Clinical Application of Machine Learning in Data-driven Population Segmentation Analysis	Liu Pinyan
12	Deep Learning Modelling to Forecast Emergency Department Visits using Calendar, Meteorological, Internet Search and Stock Market Price	Chua Ming
13	Catch Mi if U Can (AI Clinical Coding Assistant)	Rosy Tai
15	Maya-AI Powered Insights – A GPT Approach for Navigating HLA-associated Antigens in the Cancer Proteome	Lim Jack Wee
19	Development of a Generative Artificial Intelligence Metaverse Art Gallery of Image Chronicles (MAGIC): Personalizing Patients’ Medication Journeys as Heroes and Villains	Yap Yi-Lwern Kevin
21	Automated Triaging of Paediatric Supracondylar Humerus Fractures using Artificial Intelligence	Mohammad Ashik Zainuddin
22	Towards Revolutionizing Neurological and Orthopaedic Care with AI powered 3D Gait Analysis	Partha Pratim Kundu
25	Digitalised Food Intake Documentation for Hospitalised Patients – Food AI	Koh Tsingyi
27	Using a Novel Kernel Method and Heart Rate n-variability for Sepsis Mortality Prediction at the Emergency Department	Niu Chenglin
28	Fairness-aware Integral Regression (FAIReg) for Trustworthy Machine Learning in Healthcare	Liu Mingxuan
32	Impact of Class Imbalance and Missing Values on Machine Learning Algorithms for Bacterial Pneumonia Diagnosis	Chang Jin Xian Daniel
41	Metabolic Digital Twins to Predict Chronic Kidney Disease in Type 2 Diabetes Mellitus	Naveenah Udaya Surian
44	A Semi-Supervised Active Learning Guided Platform for Efficient Medical Image Annotation	Shafa Balaram
45	Embedding an Online-Learning Micro-Randomized Trial in a Cluster-Randomized Controlled mHealth Study: A Study to Develop Mindfulness and Emotional Regulation in Expectant Couples	Yan Xiaoxi
48	Gamification of Clinical Decision-Making: Enhancing Healthcare Education with a Multi-Agent LLM Model	Nicholas Shannon
50	Enhancing Serious Illness Communication Assessment in Advanced Cancer Patients through Natural Language Processing	Nicholas Shannon
51	Novel Use of Natural Language Processing for Registry Development in Peritoneal Surface Malignancies	Nicholas Shannon
52	F edScore: A Privacy-Preserving Framework for Federated Scoring System Development	Li Siqi

ID	Title	Presenter
53	Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical Approaches	Li Siqi
61	A 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
62	Dynamic Multimodal Information Bottleneck for Medical Diagnosis and Prognosis	Wu Shuang
63	Application of Explainable LLMs for Preventive Healthcare Intervention Recommendations	Li Lianjie Anthony
65	Unravelling OpenAI API’s Potential in Information Extraction from Scientific Articles	Yip Wan Fen
67	The Use of Large Language Models with Adaptive Socratic Questioning to Aid Medical Students’ Learning	Yong Cai Ling
70	Advancing Drug Response Predictions with Hierarchical Geometry-Enhanced Deep Learning	Chen Yurui
73	Multiple Instance Shuffle Transformer for High Accuracy Pancreatic Cancer ROSE Image Classification	Zhang Tianyi
74	Advancing Pancreatic Cancer ROSE Image Classification With Multi-Stage Hybrid Transformer	Zhang Tianyi
76	Awareness and Acceptance of AI Chatbots for Adolescent Mental Health and Suicide Prevention: A Parental Prespective	Sharmili Roy
78	Predicting Clinically Significant Hematoma Expansion and Outcomes in Patients with Intracerebral Hemorrhage	Toh Min Shuen Emma
81	Enhancing the Choroid in Optical Coherence Tomography using Generative AI	Valentina Bellemo
82	CellMix: Enhancing Pathology Image Analysis through Instance Relationship-Centered Data Augmentation	Zhang Tianyi
83	CPIA Dataset: A Comprehensive Pathological Image Analysis Dataset for Self-Supervised Pre-Training	Zhang Tianyi
86	Predicting Future Disease Progression from Baseline Fundus Photos using Deep Learning in a Glaucoma Clinic Population	Ruben Hemelings
87	Large Language Models for Clinical Decision Support: Retrieval Augmented-Generation vs Fine-Tuning for Prescription Recommendation	Jin Liyuan
91	HealthCarer: LLM-based Daily Health Assistant	Tang Jiankai
92	Artificial Intelligence Education: an Evidence-Based Medicine Approach for Consumers, Translators, and Developers	Faye Ng & Cheng Haoran
93	A Game-Changer in Healthcare: Wound CDSS for Chronic Wound Care	Tan Yuan Yu David
94	Unsupervised Reinforcement Learning in Multiple Environments TRIPOD-AI-Based for Preclinical Optimization in Drug Discovery	Regina Stephanie Wijaya
96	High-Fidelity Low-Field Brain MRI using a Self-Supervised Denoising Network	Xu Runze
101	Label-Free Image Quality Assessment of Fetal Brain MRI with Unsupervised Deep Learning	Liu Mingxuan
102	Corneal Layers Segmentation in Healthy and Pathological Eyes: An Integrated Approach of Adaptive Graph Theory and AI	Khin Yadanar Win
105	Brain Age Prediction based on MRI Multiscale Features Fusion	Yang Hongjia
107	Exploring the Latent Space of Glaucomatous Fundus Images trained with Generative AI	Ruben Hemelings
108	Strengthening Diabetes Care Through AI-Augmented Decision Support: Identifying Erroneous Insulin Prescriptions	Wang Xingyao