special session on

APPLIED ARTIFICIAL INTELLIGENCE FOR RELIABLE AND TRUSTWORTHY MEDICAL DECISION-MAKING SYSTEMS

An accepted special session at

IEEE World Congress on Computational Intelligence (WCCI)
International Joint Conference on Neural Networks (IJCNN) 

Yokohama, Japan · 30 June – 5 July, 2024

DESCRIPTION

The advent of the big data era in healthcare comes with the widespread capture of health data in various forms, such as electronic patient records, administrative claim records, biometric data, sensor data, and medical images. Artificial Intelligence and machine learning techniques have been widely used to unlock the hidden value from the sophisticated data and transform them into sensible decision-making and actions to support better healthcare. There are many successful healthcare applications leveraging the power of AI. For example, the giant Google has partnered with healthcare organizations to successfully develop machine learning-enabled imaging and diagnostics tools for skin, eye diseases and lung, breast cancers and so on to support medical specialists’ better decision-making. 


Nevertheless, the challenges of AI for healthcare are equally significant. For example, many practical issues, such as low-quality training data, model black box problems, algorithmic bias and unfairness, and data privacy issues, may undermine the existing solutions’ ability and hold them back from being integrated into the current healthcare systems. Only if these practical challenges are overcome can the adoption of AI grow further to genuine applications to transform healthcare.


This special session aims to showcase the recent advancements in applied AI to address emerging challenges and dilemmas, and deliver reliable and trustworthy intelligent systems in healthcare and medicine. It will also provide a global platform to share and discuss the latest research findings in achieving patient-centered and outcome-driven effective healthcare applying AI.

List of Topics

Contributions are expected to be related, but not limited, to the following topics:

Audience

This special session is intended for students, scientists, professionals, and practitioners in the field of machine learning (ML) and deep learning (DL) approaches in medicine and healthcare. The special session has an emphasis on the theoretical and practical implementations and implications of the ML and DL approaches, specifically on addressing key challenges and issues for delivering reliable and trustworthy intelligent systems in healthcare and medicine. Hence a broad range of stakeholders are invited to participate, including academia, healthcare professionals, researchers, pharmaceutical industry, the EU-Innovation Network, and related entities.

Keywords– Educational, technical, industrial, and practical communities on trustworthy AI, explainable AI, ethical-by-design, AI in medicine, and AI in healthcare are welcome.

Submission Guidelines

All submissions have to be adhered to the general author guidelines provided by WCCI here

Once you are in the submission system, select the Special Session (PROPOSAL Applied Artificial Intelligence for Reliable and Trustworthy Medical Decision-Making Systems) as the main topic of your paper.

This year, the review process will be double-blind, i.e. reviewers will not know the authors' identity (and vice versa). Authors should ensure their anonymity in the submitted papers.

The accepted papers will be included in the proceedings of the IJCNN 2024 and indexed in IEEEXplore.

Important Dates

Special Session Organizers

Hiram Ponce (chair), Universidad Panamericana, Mexico
Lourdes Martínez-Villaseñor, Universidad Panamericana, Mexico
Guanjin Wang, Murdoch University, Australia
Lerina Aversano, University of Sannio, Italy
Mario Luca Bernardi, University of Sannio, Italy
Zhaohong Deng, Jiangnan University, China
Rui Chen, Samsung, United States of America
Kai Qin, Swinburne University of Technology, Australia

Contact

Any inquiries or doubts, please refer to Hiram Ponce <hponce@up.edu.mx>.


This special session is co-located at the WCCI/IJCNN 2024. More information can be found in the official website of the conference: https://2024.ieeewcci.org/