FMLDS Special Session 1: Advances in HealthAI: Innovations and Applications
Overview:
The field of HealthAI is rapidly transforming healthcare by enhancing diagnostics, patient care, medical coding, and operational efficiency. This special session will focus on the latest advancements in artificial intelligence applications in healthcare, including novel algorithms, clinical decision support systems, predictive analytics, natural language processing, and trustworthy AI models for medical use.
Objective:
The session aims to bring together researchers, practitioners, and industry experts to share cutting-edge research, real-world applications, and future directions in HealthAI. Discussions will highlight innovative methods, interdisciplinary collaborations, and the critical challenges of deploying AI responsibly in clinical settings.
Topics of Interest:
AI for disease diagnosis and prognosis Clinical decision support systems Health data analytics and predictive modeling Natural language processing in healthcare Ethical, legal, and trust issues in HealthAI AI in medical imaging and genomics Integration of AI with Electronic Health Records (EHRs)
Target Audience:
Researchers, clinicians, data scientists, healthcare IT professionals, and policymakers interested in advancing AI technologies for healthcare transformation."
More DetailsSpecial Session 2: Machine Learning Applications in Biomedical and Bioinformatics
We invite original research papers for the special session on "Machine Learning Applications in Biomedical and Bioinformatics."
This track focuses on innovative applications of machine learning across biomedical sciences and bioinformatics. We encourage submissions that address challenges, present new models, tools, or frameworks, and foster interdisciplinary approaches bridging healthcare, biology, and computational intelligence.
Topics of Interest include (but are not limited to):
• Computational Biology and Medical Informatics • Bio-data Visualization • Adaptive Computation in Bioinformatics • Bio-inspired Computing • Computational Systems Biology • Data Mining, Machine Learning, and Artificial Intelligence in Life Sciences • Drug Discovery and Validation • Medical and Biomedical Informatics • Modeling and Simulation of Biological Processes and Pathways • Parallel and Distributed Computing for Life Sciences • EEG Signal Processing and Analysis • Bio-imaging and Medical Image Processing • Clinical Databases and Information Systems • Data-driven Healthcare Solutions • Big Data Analytics in Healthcare • Biological Network Reconstruction and Analysis • Health Informatics and Patient-Centric Systems • Human-Centric Applications in Biomedicine • Formal Validation of Biological Systems • Disease Classification and Prediction Models • Molecular Evolution and Phylogeny Analysis • COVID-19 Data Modeling, Analysis, and Prediction
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