Open Access Open Access  Restricted Access Subscription Access

Revolutionizing Healthcare with Deep Learning

B Thulasi Thanmai, K. Vani, I. Dwaraka Srihith, I. Venkat Sai, I Shasikala

Abstract


Deep learning technology is becoming increasingly prevalent in the healthcare industry, which has the potential to revolutionise medical diagnosis, treatment, and patient care. Deep learning algorithms are capable of analysing immense quantities of healthcare data, such as patient records, medical images, and genomic information, to identify patterns and make highly accurate predictions. This technology is currently being used, among other things, to enhance diagnostic accuracy, personalise treatment plans, and predict patient outcomes.


Full Text:

PDF

References


B., Kuleshov, V., DePristo, M., Chou, K., .& Dean, J. (2019). A guide to deep learning in healthcare. Nature medicine, 25(1), 24-29.

Wang, D., Khosla, A., Gargeya, R., Irshad, H., & Beck, A. H. (2016). Deep learning for identifying metastatic breast cancer. arXiv 1606.05718.

Miotto, R., Wang, F., Wang, S., Jiang, X., & Dudley, J. T. (2018). Deep learning for healthcare: review, opportunities and challenges. Briefings in bioinformatics, 19(6), 1236-1246.

Shin, H. C., Roth, H. R., Gao, M., Lu, L., Xu, Z., Nogues, I., Summers, R. M. (2016). Deep convolutional neural networks for computer-aided detection: CNN architectures, dataset characteristics and transfer learning. IEEE transactions on medical imaging, 35(5), 1285-1298.

Litjens, G., Kooi, T., Bejnordi, B. E., Setio, A. A. A., Ciompi, F., Ghafoorian, M., & Sánchez, C. I. (2017). A survey on deep learning in medical image analysis. Medical image analysis, 42, 60-88.

Zhou, X., Qian, C., & Wang, L. (2018). Deep learning in healthcare informatics: A review. IEEE journal of biomedical and health informatics, 22(5), 1589-1604.

Liu, X., Faes, L., Kale, A. U., Wagner, S. K., Fu, D. J., Bruynseels, A., ... & Keane, P. A. (2019). A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis. The Lancet Digital Health, 1(6), e271-e297.

Srinivas, T. "Aditya Sai et MANIVANNAN, SS Prevention of hello flood attack in IoT using combination of deep learning with improved rider optimization algorithm." Computer Communications (2020).

Greenspan, H., Van Ginneken, B., & Summers, R. M. (2016). Deep learning in medical imaging: overview and future promise of an exciting new technique. IEEE transactions on medical imaging, 35(5):1153-1159.

Rajkomar, A., Oren, E., Chen, K., Dai, A. M., Hajaj, N., Hardt, M., & Zhang, K. (2018). Scalable and accurate deep learning with electronic health records. NPJ Digital Medicine, 1(1), 1-10.


Refbacks

  • There are currently no refbacks.