ITC-CSCC2024 Okinawa (The 39th International Technical Conference on Circuits/Systems, Computers and Communications) ITC-CSCC2024 (The 39th International Technical Conference on Circuits/Systems, Computers and Communications)

Tutorial Speakers

Harnessing Artificial Intelligence for Enhanced Screening of Regional Diseases

Presenter

Assistance Professor Dr. Thanapong Intharah

Assistance Professor Dr. Thanapong Intharah

  • Khon Kaen University

Abstract

Opisthorchiasis and cholangiocarcinoma are significant public health concerns in Southeast Asia, requiring effective screening methods for early detection and management. This talk focuses on two innovative AI-powered platforms, OV-RDT and BiTNet, which aim to revolutionize the screening process for these regional diseases.

The OV-RDT platform utilizes AI algorithms to analyze images of the OV-Rapid Diagnostic Test, a urine-based test for opisthorchiasis. By automating the interpretation of test results and real-time data analytic dashboard, the OV-RDT platform improves the accuracy and efficiency of screening, reducing the reliance on skilled technicians and enabling broader access to testing in resource-limited settings.

BiTNet, on the other hand, is an AI-driven platform that analyzes ultrasound images to detect early signs of cholangiocarcinoma and other biliary tract abnormalities. Trained on a large dataset of annotated images, BiTNet employs deep learning techniques to identify subtle changes and patterns associated with the disease, assisting medical professionals in making accurate diagnoses.

The talk will present the development and validation of these platforms and their potential impact on enhancing regional disease screening. We will discuss how OV-RDT and BiTNet can be integrated into existing healthcare systems, enabling remote screening and telemedicine applications. Furthermore, we will highlight the collaborative efforts between researchers, healthcare professionals, and AI experts to ensure the responsible deployment and continuous improvement of these AI-powered tools.

By leveraging the capabilities of OV-RDT and BiTNet, we can significantly enhance the accessibility, accuracy, and efficiency of screening for opisthorchiasis and cholangiocarcinoma. These platforms have the potential to transform the landscape of regional disease management, ultimately improving patient outcomes and public health in affected communities.

Brain-Computer Interfaces and Artificial Intelligence in Digital Health: Opportunities and Challenges

Presenter

Dong-Ok Won

Dong-Ok Won

  • Hallym University
  • Dong-Ok Won (Member, IEEE) received a Ph.D. degree from the Department of Brain and Cognitive Engineering at Korea University, Republic of Korea, in 2019. He is currently working as an Assistant Professor with the Department of Artificial Intelligence Convergence, at Hallym University, Republic of Korea (2020~Present). His research interests include pattern recognition, machine learning, and artificial intelligence in medicine.

Abstract

Recent advances in brain-computer interfaces (BCI) and artificial intelligence (AI) are bringing new innovations to the healthcare domain. This presentation will introduce the latest research trends and application cases of BCI and medical AI. BCI can enhance communication and control abilities for patients with physical limitations. AI is also being applied in various medical areas such as image diagnosis, patient monitoring, and treatment planning, thereby improving the quality and efficiency of healthcare services. This talk will cover not only the technical aspects of BCI and medical AI but also discuss the challenges and future work. By leveraging BCI and AI capabilities responsibly, we can empower patients, augment healthcare experts, and ultimately elevate the standards of medical care delivery.