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Dr. Ch. Rama Sanyasi Rao is a Professor in the Department of Basic Sciences and Humanities at DADI Institute of Engineering & Technology, Anakapalli, Andhra Pradesh, India. His academic responsibilities include teaching and research in basic sciences and humanities. His professional role contributes to interdisciplinary engineering education. His chapter contribution focuses on multimodal deep learning for multi-disease detection.
The growing accessibility of electronic health records, laboratory data, medical imaging, and clinical examination information has facilitated the creation of advanced healthcare systems that can identify many diseases through comprehensive analysis. Traditional diagnostic methods frequently assess clinical data and medical imaging in isolation, which may hinder the recognition of intricate connections among patient traits, physiological markers, and visual irregularities. This section introduces a theoretical model for the identification of several diseases utilising clinical and medical imaging information, encompassing multimodal integration, illness classification, and interpretable predictions. Future investigations ought to emphasise clinically meaningful datasets, resilient multimodal learning approaches, and forward-looking assessments to ascertain if integrated AI systems might enhance diagnostic precision and facilitate secure clinical decision-making.