ArtInHCI2024 Session: Artificial Intelligence in Medical Imaging (ArtInHCI’24-AIMI) is conducted under the 2nd International Conference on Artificial Intelligence and Human-Computer Interaction, held during October 25-27, 2024 in Kunming. Artificial Intelligence (AI) is reshaping medical imaging, offering improved diagnostics, treatment planning, and personalized care. This session highlights the latest advancements in AI-driven medical imaging, addressing challenges in robustness, interpretability, and ethical concerns. Researchers and professionals are invited to present AI solutions that enhance accuracy, efficiency, and accessibility in healthcare. This session aims to explore cutting-edge AI methodologies, discuss clinical implementation challenges, and promote collaboration between AI experts and healthcare professionals to drive innovation in medical imaging.
Potential topics include but are not limited to the following:
- AI in Diagnostics: Image recognition and analysis in radiology, pathology, and beyond.
- Deep Learning for Segmentation: Tumor and organ detection in medical images.
- Multimodal Imaging: Combining MRI, CT, X-ray, and other modalities using AI.
- Explainable AI: Interpretable models for clinical decision-making.
- Ethics and Bias: Ensuring fairness and addressing bias in AI models.
- Real-Time and AI-Assisted Solutions: Applications in critical care and treatment planning.
ArtInHCI’24- AIMI Committee Member
Taipei Medical University (TMU), Taiwan
Areas of Expertise: Artificial Intelligence (Machine Learning & Deep Learning); Bioinformatics & Computational Biology; Genomics, Proteomics, Radiomics; Medical informatics
Brief Introduction: Dr. Le Nguyen Quoc Khanh is an Associate Professor in the In-Service Master Program in Artificial Intelligence in Medicine at the College of Medicine, Taipei Medical University (TMU), Taiwan. Prior to his tenure at TMU, he served as a Research Fellow at Nanyang Technological University, Singapore. Dr. Khanh is an active Editorial Board Member for several prestigious SCI journals, including Heliyon, BMC Genomics, iMeta, PLOS ONE, and BMC Bioinformatics. Since 2017, he has been a dedicated Program Committee Member for numerous international conferences such as IJCAI 2024, GIW ISCB ASIA 2023, IEEE BIBM 2023, IEEE BIBM 2022, IEEE BIBM 2021, GIW/ISCB-Asia 2020, IEEE BIBM 2020, ISMCO 2020, IEEE CBMS 2020, IEEE BIBM 2019, InCoB 2019, IEEE CBMS 2019, and IEEE BIBE 2019. His research interests center on the application of AI (including machine learning, deep learning, and natural language processing) in multidisciplinary studies, pushing the boundaries of what is possible in modern medicine and beyond.