Workshop Title:

Artificial Intelligence for Biomedical Data Analysis 2023 (WAIBDA 2023)

Date:

June 16th, 2023 (GMT+12)

Organizer:

Faculty of Medical and Health Sciences and Bioengineering Institute, University of Auckland

Keywords:

  • Artificial Intelligence
  • Biomedical Data Analysis
  • BioSensor
  • Medical Imaging
  • Image Guided Surgical Robot

Workshop Chair:

Dr. Alan Wang
Associate Professor in University of Auckland

Personal Bio:

Alan Wang is a principal investigator and Associate Professor at University of Auckland. He has more than ten years of research experience in bioengineering informatics and integrated medicine, especially in advancing the role of medical informatics in health care. His research interests include bioengineering, data informatics, neurocomputing, and biomedical statistics and simulation. He has developed medical data analytics methods for mobile health and personalized diagnosis and prognosis based on intelligent computing theories. He has experience analyzing huge cohorts of patient data with applications of early diagnosis, disease understanding, and effective treatment of patients with different disorders. He serves as an Editorial Board Member and an Active Reviewer for several international journals.

Workshop Description:

Background:

Artificial Intelligence for Biomedical Data Analysis (AIBDA) is increasingly important in medical informatics, biosensors, and image-guided navigation and robotics. AIBDA can reveal implicit and diagnostically valuable information or knowledge from biomedical data, providing fast and accurate guidance for medical interventions. With the fast development of artificial intelligence and parallel computing, AIBDA plays an increasingly important role in clinical decision support. IBDA involves multidisciplinary technologies such as artificial intelligence, machine learning, image processing, biosensors, robotics, pattern recognition, graphics, computer vision, statistics, informatics, and visualization. It automatically and intelligently extracts valuable information from a large amount of biomedical data and combines comprehensive prior knowledge to improve clinical performance by enabling more accurate diagnosis and intervention.

Goal/Rationale:

Workshop on Artificial Intelligence for Biomedical Data Analysis 2023 aims to bring together scientists, engineers, and students to discuss the latest advances in interdisciplinary research on AI for biomedical data analysis with clinical applications using machine learning and artificial intelligence techniques/methods. This workshop is designed to introduce Artificial Intelligence methods and connect them with applications at the University of Auckland that can leverage AI in research, such as stroke prediction and rehabilitation, surgical navigation/robots, intelligent biosensors, etc.

Scope and Information for Participants:

Detailed research topics include, but are not limited to:

  • Artificial intelligence in medicine
  • Machine learning models for analyzing medical data
  • Image guided intervention
  • Image guided surgical robotics
  • Data mining in healthcare
  • Medical image analysis
  • Medical informatics
  • Intelligent medical diagnosis
  • Intelligent healthcare informatics
  • Biomedical knowledge
  • Biomedical knowledge reasoning, extraction, and graph construction
  • Explainable diagnostics support system
  • Multi-modal biomedical data analysis models
  • Multi-modal transformer models for biomedical data
  • Biomedical data anonymization
  • Privacy-aware biomedical data analysis and federated learning
  • Self-supervised learning for multi-modal biomedical data
  • Biomedical image/signal processing
  • Sensing, detection, and recognition in biomedical image/signal
  • Natural language processing and knowledge discovery in biomedical documents
  • Emerging digital healthcare applications
  • Mobile and cloud computing for digital healthcare
  • Security, trust, and privacy in digital healthcare

Highlights:

The Workshop on Artificial Intelligence for Biomedical Data Analysis is a comprehensive and interactive event aimed at exploring the application of artificial intelligence (AI) techniques in the field of biomedical data analysis. This workshop, scheduled for Friday, 16th June 2023, from 14:00 to 17:00, will take place at The University of Auckland's Grafton Campus, specifically in room 505-364.

The workshop will bring together researchers, practitioners, and experts from the fields of artificial intelligence, biomedical sciences, and healthcare. The primary objective is to foster knowledge exchange, collaboration, and innovation in utilizing AI for biomedical data analysis, with a specific focus on its potential impact on advancing healthcare research and patient outcomes.

During the workshop, participants will have the opportunity to explore the latest advancements and emerging trends in AI techniques such as machine learning, deep learning, and natural language processing, specifically tailored to the analysis of biomedical data. Through a combination of keynote presentations, panel discussions, and interactive sessions, attendees will gain insights into the challenges, opportunities, and ethical considerations associated with AI in the biomedical domain. To ensure inclusivity and accessibility, the workshop will be conducted both in-person and virtually via Zoom. Attendees can join the workshop remotely through a provided Zoom link.

By the end of the workshop, participants will have a deeper understanding of the potential applications of AI in biomedical data analysis, and how it can contribute to advancements in disease diagnosis, treatment selection, and personalized medicine. The knowledge and networking opportunities gained from this workshop will foster collaborations and accelerate.

Access to Workshop:

CONF-MSS 2023 Workshop -- Auckland - YouTube

Venue:

Grafton Campus, The University of Auckland, Auckland 1023, New Zealand

VISA:


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