ItemBook Chapter

Fusion Techniques for medical imaging and clinical data towards precision diagnostics and personalized care

Title
Fusion Techniques for medical imaging and clinical data towards precision diagnostics and personalized care
Creator
Jacob, Lija; Thomas, K.T.; Samuel, Libin Chacko; Thomas, Sharon Susan
Description
The combination of clinical data with medical imaging has created a revolution in modern healthcare, which provides a clear insight into patient's health sometimes in an earlier stage itself. Magnetic resonance imaging, computed tomography scans, ultrasounds, and X-rays are a few of the medical imaging techniques that offer high-resolution representations of the body's structure and physiological processes. Clinical data, such as physical examinations, test findings, and medical histories, help to contextualize these photographs, which enhances treatment planning and broadens diagnostic discoveries. Fusion approaches combine data from multiple sources to create a unified dataset, making diagnoses more accurate and treatments more personalized. This chapter emphasizes the importance of the fusion of heterogeneous medical data along with various fusion techniques, including deep learning and attention mechanisms, to align medical images with clinical data for meaningful insights. By using fusion techniques, healthcare professionals can make real-time decisions, identify diseases with better accuracy, and derive insights that can lead to actionable treatment or management strategies. Advanced fusion methods enable healthcare providers to obtain a holistic view of a patient's health, allowing advancements in precision medicine and customized treatment plans. 2026 Elsevier Inc. All rights reserved.
Source
Multimodal Learning Using Heterogeneous Data;pp.139-155
Date
01-01-2025
Publisher
Elsevier
Subject
attention mechanism; Clinical data fusion; deep learning; disease classification; healthcare; healthcare systems; image-to-clinical data alignment; personalized medicine; personalized treatment; precision medicine
Coverage
Jacob L., Department of Statistics and Data Science, Christ University, Karnataka, Bengaluru, India; Thomas K.T., Department of Computer Science, Christ Unversity, Karnataka, Bengaluru, India; Samuel L.C., Department of Computer Science, Christ Unversity, Karnataka, Bengaluru, India; Thomas S.S., Department of Computer Science, Christ Unversity, Karnataka, Bengaluru, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 978-044327528-9; 978-044327529-6;
Format
online
Language
English
Type
Book chapter

Citation

Jacob, Lija; Thomas, K.T.; Samuel, Libin Chacko; Thomas, Sharon Susan, “Fusion Techniques for medical imaging and clinical data towards precision diagnostics and personalized care,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/24203.

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