Multi-Modal Artificial Intelligence Framework for Chest Disease Diagnosis  Using Clinical and Imaging Data

ARUN KUMAR SAVALLA ,DR. PRIYA VIJ

Multi-Modal Artificial Intelligence Framework for Chest Disease Diagnosis Using Clinical and Imaging Data

Authors

ARUN KUMAR SAVALLA ,DR. PRIYA VIJ

Keywords:

Multi-Modal Artificial Intelligence, Chest Disease Diagnosis, Deep Learning, Clinical Data, Medical Imaging, Machine Learning.

Abstract

Chest diseases continue to be one of the major public health problems, responsiblefor high disease burden and mortality both within and outside industrialized countries. While the treatment of fluctuating emotions requires an early and accurate diagnosis, the traditionalway of accurately diagnosing it include the manual interpretation

References

1. Candemir, S., Jaeger, S., Palaniappan, K., Musco, J. P., Singh, R. K., Xue, Z., Karargyris, A., Antani, S., Thoma, G., & McDonald, C. J. (2013). Lung Segmentation in Chest Radiographs Using Anatomical Atlases with Non-Rigid Registration. IEEE Transactions on Medical Imaging, 33(2), 577–590.

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Published

2024-10-15

How to Cite

ARUN KUMAR SAVALLA ,DR. PRIYA VIJ. (2024). Multi-Modal Artificial Intelligence Framework for Chest Disease Diagnosis Using Clinical and Imaging Data. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 9512–9523. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5777