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Dr. Ankur Jain is an Assistant Professor in the Department of Computer Science and Engineering, School of Computer Science and Applications, IFTM University, Moradabad, Uttar Pradesh, India. He is involved in academic teaching and research-oriented activities in computer science. His contribution focuses on multimodal data integration for medical image analysis and clinical applications.
The amalgamation of medical imagery, clinical documentation, and physiological sensor information using multimodal AI signifies a hopeful strategy for enhancing medical diagnosis, patient surveillance, and clinical decision-making assistance. Traditional medical AI systems often evaluate distinct data modalities in isolation, hindering their capacity to integrate the synergistic information found in visual, textual, and physiological formats. This chapter examines the essential principles, computational frameworks, and integration techniques employed to merge medical imaging, clinical language, and sensor-derived data. The chapter culminates by offering a conceptual framework for the amalgamation of medical images, clinical text, and sensor data to facilitate precise, interpretable, and clinically pertinent decision-making with suitable human oversight.