AI Applications in Healthcare a Comprehensive Review of Advancements and Challenges
Abstract
Full Text:
PDFReferences
Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115-118.
Gulshan, V., Peng, L., Coram, M., Stumpe, M. C., Wu, D., Narayanaswamy, A., ... & Webster, D. R. (2016). Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. JAMA, 316(22), 2402-2410.
Rajkomar, A., Oren, E., Chen, K., Dai, A. M., Hajaj, N., Hardt, M., ... & Liu, P. J. (2018). Scalable and accurate deep learning with electronic health records. NPJ Digital Medicine, 1(1), 18.
Choi, E., Schuetz, A., Stewart, W. F., & Sun, J. (2016). Using recurrent neural network models for early detection of heart failure onset. Journal of the American Medical Informatics Association, 24(2), 361-370.
Obermeyer, Z., Powers, B., Vogeli, C., & Mullainathan, S. (2019). Dissecting racial bias in an algorithm used to manage the health of populations. Science, 366(6464), 447-453.
Challen, R., Denny, J., Pitt, M., Gompels, L., Edwards, T., Tsaneva-Atanasova, K., & Peek, N. (2019). Artificial intelligence, bias and clinical safety. BMJ Quality & Safety, 28(3), 231-237.
Ienca, M., Vayena, E., & Blasimme, A. (2018). Big data and dementia: charting the route ahead for research, ethics, and policy. Frontiers in Medicine, 5, 13.
Davenport, T. H., & Kalakota, R. (2019). The potential for artificial intelligence in healthcare. Future Healthcare Journal, 6(2), 94-98.
Bates, D. W., Saria, S., Ohno-Machado, L., Shah, A., & Escobar, G. (2014). Big data in health care: using analytics to identify and manage high-risk and high-cost patients. Health Affairs, 33(7), 1123-1131.
Holmes, D. (2018). AI in healthcare: Is the revolution ever going to happen? The Lancet, 392(10162), 821-822.
Suryadevara, Chaitanya Krishna, Feline vs. Canine: A Deep Dive into Image Classification of Cats and Dogs (March 09, 2021). International Research Journal of Mathematics, Engineering and IT, Available at SSRN: https://ssrn.com/abstract=4622112
Suryadevara, Chaitanya Krishna, Sparkling Insights: Automated Diamond Price Prediction Using Machine Learning (November 3, 2016). A Journal of Advances in Management IT & Social Sciences, Available at SSRN: https://ssrn.com/abstract=4622110
Suryadevara, Chaitanya Krishna, Twitter Sentiment Analysis: Exploring Public Sentiments on Social Media (August 15, 2021). International Journal of Research in Engineering and Applied Sciences, Available at SSRN: https://ssrn.com/abstract=4622111
Suryadevara, Chaitanya Krishna, Forensic Foresight: A Comparative Study of Operating System Forensics Tools (July 3, 2022). International Journal of Engineering, Science and Mathematics , Available at SSRN: https://ssrn.com/abstract=4622109
Chaitanya krishna Suryadevara. (2023). NOVEL DEVICE TO DETECT FOOD CALORIES USING MACHINE LEARNING. Open Access Repository, 10(9), 52–61. Retrieved from https://oarepo.org/index.php/oa/article/view/3546
Chaitanya Krishna Suryadevara, "Exploring the Foundations and Real-World Impact of Artificial Intelligence: Principles, Applications, and Future Directions", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.2, Issue 4, pp.22-29, November 2014, Available at :http://www.ijcrt.org/papers/IJCRT1135300.pdf
Chaitanya Krishna Suryadevara. (2022). UNVEILING COLORS: A K-MEANS APPROACH TO IMAGE-BASED COLOR CLASSIFICATION. International Journal of Innovations in Engineering Research and Technology, 9(9), 47–54. Retrieved from https://repo.ijiert.org/index.php/ijiert/article/view/3577
Chaitanya Krishna Suryadevara. (2019). EMOJIFY: CRAFTING PERSONALIZED EMOJIS USING DEEP LEARNING. International Journal of Innovations in Engineering Research and Technology, 6(12), 49–56. Retrieved from https://repo.ijiert.org/index.php/ijiert/article/view/2704
Chaitanya Krishna Suryadevara, "Unleashing the Power of Big Data by Transformative Implications and Global Significance of Data-Driven Innovations in the Modern World", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 3, pp.548-554, July 2018, Available at :http://www.ijcrt.org/papers/IJCRT1135233.pdf
Chaitanya Krishna Suryadevara, "Transforming Business Operations: Harnessing Artificial Intelligence and Machine Learning in the Enterprise", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.5, Issue 2, pp.931-938, June 2017, Available at :http://www.ijcrt.org/papers/IJCRT1135288.pdf
Refbacks
- There are currently no refbacks.