The program schedule of IEEE MedAI 2023 is as follows:
18th November 2023(8:15 – 8:30):Keynote Speeches & Panels
| time | Activity |
| 8:30-8:35 | Address of Honorary Conference Chair: Prof. Xindong Wu |
| 8:35-8:40 | Address of Conference Chair: Prof. Hong Mei |
| 8:40-8:45 | Address of Program Chair: Prof. Ying Xu |
| 8:45-8:50 | Address of AMSS CAS Representative: Prof. Xiaoshan Gao |
18th November 2023(8:30 – 11:50):Panels
| Time | Activity |
|
Keynote Speeches (Session Chair: Ying Xu) |
|
| 8:50-9:35 |
Keynote 1: Phenotypes and Research of Chinese Medicine Constitution By Qi Wang, Beijing University of Chinese Medicine, China |
| 9:35-10:20 |
Keynote 2: A Time to Build an Infrastructure of Genome Information for Health in China By Jun Yu, National Biosafety Evidence Foundation, Xi’an Jiaotong University |
| 10:20-10:40 | Tea Break |
|
Panels (Session Chair: Hong Yu) |
|
| 10:40-11:10 |
Panel 1: On the Big Model ZiDongTaiChu and its application in Medical Artificial Intelligence By Bo Xu, Chinese Academy of Sciences, China |
| 11:10-11:40 |
Panel 2: GPT-AI based Target Discovery and Drug Design: Recent Advances and Future Perspectives By Jing He, University of Oxford, UK |
| 11:40-12:10 |
Panel 3: A Real-time Tool for Understanding and Monitoring COVID Trends and Spread based on Self-reporting Tweets By Dong Xu, University of Missouri, USA |
| 12:10-14:00 | Buffet lunch and lunch break |
18th November 2023(14:00 – 17:30)
| Time | Title |
| Parallel Track I | |
| 14:00-14:15 | Path Signature Representation of Patient-Clinician Interactions as a Predictor for Neuropsychological Tests Outcomes in Children: A Proof of Concept |
| 14:15-14:30 | A Method and Practice for Menopausal Disease Prediction based on Knowledge Graph |
| 14:30-14:45 | Neural Network-Based Simulation and Circuit Analysis of Sub-Centimeter Coils for Implantable Medical Devices |
| 14:45-15:00 | SLMF: Adaptive Short-Long Multi-stage Fusion for Emotion Recognition in Conversation |
| 15:00-15:10 | Double-rule Causal Feature Selection in Risk Factor Mining for Disease Diagnosis |
| 15:10-15:20 | Exploring the metaverse in hepatobiliary and pancreatic surgery: a case report |
| 15:20-15:30 | Outside-knowledge Visual Question Answering for Visual Impaired People |
| 15:30-15:40 | An Online Tool for Understanding and Monitoring COVID-19 Trends and Spread Based on Self-reporting Tweets |
| 15:40-15:50 | Large language models improve Alzheimer’s disease diagnosis using multi-modality data |
| 15:50-16:00 | ShennongGPT: A Tuning Chinese LLM Model for Medication Guidance |
| 16:00-16:10 | Analyzing the Sleep and Anxiety States of an Individual with Anxiety Disorder by Utilizing Deep Neural Networks and Heart Rate Variability Based on Fingertip Pulse |
| 16:10-16:30 | Tea Break |
|
Session 2: Medical Images and Collective AI (I) (Chair: Zili Zhang) |
|
| 16:30-16:45 | GREAT-IQA: Integrating Global Perception and Local Task-Specific Information for CT Image Quality Assessment |
| 16:45-17:00 | OUSC-Net: Optimization-based Unfolding network for Super-Resolution Reconstruction of CEST-MRI |
| 17:00-17:15 | MED-INPAINT: Medical Image Synthesis using Multi-Level Conditional Inpainting with a Denoising Diffusion Probabilistic Model and Adaptive Contrast Priors |
| 17:15-17:30 | SliceProp: A Slice-wise Bidirectional Propagation Model for Interactive 3D Medical Image Segmentation |
18th November 2023(14:00 – 17:30):Parallel Track II
| Time | Title |
|
Session II: Biomedical Informatics and Bionic AI (I) (Chair: Yi Zhang, Huajun Chen) |
|
| 14:00-14:15 | Predicting Type 2 Diabetes Using Causal Knowledge Injection-Based Neural Networks |
| 14:15-14:30 | scGAT: a Cell-type Annotation Framework for Single-cell Transcriptomics using Graph Attention Network and Meta Learning |
| 14:30-14:45 | Nucleus Detection Based on Adversarial Domain Adaptation with Cross-Domain Consistency |
| 14:45-15:00 | Elucidating Spatial Complex Structures from Mass Spectrometry Imaging with Deep Multimodal Model |
| 15:00-15:15 | Multi-view Disease-symptom Association Prediction Based on Disease Knowledge Graph Embedding |
| 15:15-15:30 | Prompting Meta-Learned Hierarchical Graph Network for Molecular Property Prediction |
| 15:30-15:45 | Discovery of Disease Evolution by Graph Curvature |
| 15:45-16:00 | Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction |
| 16:00-16:15 | CellMirror: Deciphering Cell Populations from Spatial Transcriptomics Data by Interpretable Contrastive Learning |
| 16:15-16:30 | Tea Break |
|
Session II: Biomedical Informatics and Bionic AI (II) (Chair: Fuzhong Xue) |
|
| 16:30-16:45 | Subnetwork Mining based on Structure Entropy for Analyzing Depression Disease |
| 16:45-17:00 | XG-DTA: Drug-target Affinity Prediction based on Drug Molecular Graph and Protein Sequence combined with XLNet |
| 17:00-17:10 | CAHAN: Drug-disease Association Prediction Based on Cross-attention Mechanism |
| 17:10-17:20 | Graph Generation with Recurrent and Graph Neural Networks |
| 17:20-17:30 | Age-Specific Pediatric Sepsis Diagnosis: Machine Learning Analysis of Key Laboratory Indicators |
18th November 2023(14:00 – 17:30):Poster
| Paper ID | Title |
| ID 16 | Privacy Dilemma of Combination of Traditional Chinese Medicine and AI Based on Case Study |
| ID 77 | Application of Digital and Intelligent Technology in Hepatopancreatobiliary Surgery |
| ID 43 | Optimization of Implantable Ultrasonic Friction Nano Wireless Power Supply Circuits |
| ID 46 | ToC-Net: Combining Channel Attention for Targeted Optimization of Stroke Segmentation Networks |
| ID 99 | Multi-view Disease-symptom Association Prediction Based on Disease Knowledge Graph Embedding |
| ID 32 | HPC-Atlas: Computationally Construction A Comprehensive Atlas of Human Protein Complexes |
| ID 39 | Causal Feature Selection for Cancer Biomarker Identification from RNA-seq Data |
| ID 42 | Molecular Property Prediction by Contrastive Learning with Attention-guided Positive Sample Selection |
| ID 47 | Artifact Segmentation in Endoscopic Images: Dataset and Model |
| ID 48 | Using CNN and Transformer for Differential Diagnosis of Intestinal Ulcerative Diseases |
19th November 2023(8:30 – 11:50):Keynote Speeches & Panels
| Time | Activity |
| Keynote Speeches (Session Chair: Weiru Liu) |
|
| 8:30-9:15 | Keynote 1: An AI-based Pipeline for Personalized Neoantigen Discovery and Validation |
| 9:15-10:00 | Keynote 2: Digital Life Systems, AI Patients and AI Precision Medicine |
| 10:00-10:20 | Tea Break |
| Panels (Session Chair: Shihua Zhang) |
|
| 10:20-10:50 | Panel 1: Clinical Practice Empowered by AI |
| 10:50-11:20 | Panel 2: Graph Representation Learning of Single-cell Omics Data |
| 11:20-11:50 | Panel 3: Towards Understanding Complex Diseases from a Pan-disease View through Ultra-large-scale bBiomedical Data Mining |
| 11:50-14:00 | Buffet lunch and lunch break |
19th November 2023(14:00 – 17:00):Parallel Track I
| Time | Title |
| Session I: Medical Images and Bionic AIs (Chair: Meikang Qiu, Xiaolong Jin) |
|
| 14:00-14:15 | Multi-scale Style Aggregation Transformer-based Network (MSAT-Net) for Multi-contrast MRI Restoration: Super Resolution and Motion Artifact Reduction |
| 14:15-14:30 | Arrhythmia Detection from Electrocardiogram Signal Data based on Wavelet Transform and Deep Reinforcement Learning |
| 14:30-14:45 | DCSN: A Flexible and Efficient Lightweight Network for Dense Cell Segmentation |
| 14:45-15:00 | MedPipe: End-to-End Joint Search of Data Augmentation and Neural Architecture for 3D Medical Image Classification |
| 15:00-15:15 | A Deep Learning Method for Colon Polyp Segmentation with better Universality |
| 15:15-15:25 | An Electrocardiogram Augmentation Method for Automatic Detection of ST-Segment Elevation Myocardial Infarction and Culprit Vessel |
| 15:25-15:35 | Few-shot Fine-grained Classification of Histological Images |
| 15:35-15:45 | Glomerular Classification of Membranous Mephropathy based on Deep Residual Learning with Large Resolution Images |
| 15:45-16:05 | Tea Break |
| Session II: Infrastructure of Medicine and Generative AI (II) (Chair: Junzhong Ji) |
|
| 16:05-16:20 | M2CF-Net: a Multi-resolution and Multi-scale Cross Fusion Network for Segmenting Pathology Lesion of the Focal Lymphocytic Sialadenitis |
| 16:20-16:30 | VAC-UNet: Visual Attention Convolution U-Net for 3D Medical Image Segmentation |
| 16:30-16:40 | FusNet: A Deep Information Fusion Network for Medical Image Segmentation |
| 16:40-16:50 | Automatic Skin Lesion Segmentation Based on Higher-order Spatial Interaction Model |
| 16:50-17:00 | A Novel Conditional Medical Image Generation GAN with Latent Space Optimal Transport |
19th November 2023(14:00 – 17:15):Parallel Track II
| Time | Title |
| Session II: Infrastructure of Medicine and Generative AI (I) (Chair: Songmao Zhang, Shuigeng Zhou) |
|
| 14:00-14:15 | Context-Aware Clinical Diagnosis Prediction via Hierarchical Ontology Representation |
| 14:15-14:30 | Migration: An Efficient Explorer Operator to Guide Swarm Evolution |
| 14:30-14:45 | Text Classification Algorithm for Medical Adverse Events based on Deep Learning |
| 14:45-15:00 | Type-Representation Enhanced Event Detection via Structure Encoder |
| 15:00-15:10 | A model Ops-based Framework for Intelligent Medical Knowledge Extraction |
| 15:10-15:20 | Construction of Chinese Electronic Medical Record Entity and Entity Relation Annotation Corpus for Pediatric Bronchopneumonia Disease |
| 15:20-15:30 | CQUPT-FL: Cross-Domain Sharing and Security Awareness and Early Warning Platform of Health Science Big Data |
| 15:30-15:40 | Ambulance Location Optimization via Fine-grained Ambulance Demand Forecasting |
| 15:40-16:00 | Tea Break |
| Session II: Infrastructure of Medicine and Generative AI (II) (Chair: Xipeng Qiu) |
|
| 16:00-16:10 | Zero-Shot Construction of Chinese Medical Knowledge Graph with ChatGPT |
| 16:10-16:20 | A Review on Code Generation with LLMs: Application and Evaluation |
| 16:20-16:30 | A Flexible Framework of General Clinical Data Quality Control System |
| 16:30-16:40 | A Knowledge-enhanced Medical named Entity Recognition Method that Integrates Pre-trained Language Models |
| 16:40-16:50 | Secure and Efficient Federated Statistical Tests for Medical Data based on TEE and Secure Resharing Protocols |
| 16:50-17:00 | Thematic Event Extraction based on Event-Related Sentence Detection |
| 17:00-17:30 | Closing & Award Ceremony |
Important: all time above is considered as Beijing time
You can also download the PDF version of program schedule: Link
