Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{175411,
author = {Ashwath K},
title = {Multimodal AI in Precision Health Integrative Patient Profiling for Holistic Care},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {11},
number = {11},
pages = {3395-3399},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=175411},
abstract = {Multimodal artificial intelligence (AI) is revolutionizing healthcare by integrating diverse data streams—such as medical imaging, genomics, electronic health records (EHRs), wearable devices, and social determinants of health (SDOH)—to create comprehensive patient profiles. This approach transcends traditional unimodal systems, enabling more accurate diagnostics, personalized treatments, and proactive care strategies. Multimodal AI has demonstrated significant advancements, including a 35% reduction in diagnostic errors for complex cases and improved precision in treatment planning through cross-modal insights. Emerging applications range from early disease detection to real-time monitoring using wearable and implantable sensors. However, the adoption of multimodal AI faces challenges such as algorithmic complexity, data heterogeneity, privacy concerns, and regulatory gaps. Federated learning and quantum computing are paving the way for scalable solutions, while frameworks like explainable AI (XAI) enhance clinician trust by improving model transparency. Ethical considerations surrounding data ownership and bias mitigation remain critical to ensuring equitable access to this transformative technology. As multimodal AI evolves, dynamic patient profiling—leveraging continuous real-time data streams—represents the next frontier in precision medicine. With interdisciplinary collaboration, regulatory modernization, and patient engagement, multimodal AI is poised to become a cornerstone of patient-centric healthcare, delivering improved outcomes while reducing systemic costs on a global scale.},
keywords = {Multimodal AI, Patient Profiling, Integration, Precision Health, Care},
month = {April},
}
Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.
Join NowNational Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024
Submit inquiry