An open access journal
Advancing Healthcare with Intelligent Medical Solutions
Abstract
This paper explores the advancement of healthcare through intelligent medical solutions enabled by AI-driven engineering. Through case studies and research insights, it investigates how artificial intelligence is revolutionizing traditional healthcare practices, including disease diagnosis, treatment planning, and patient care. The study highlights the application of AI techniques such as machine learning, natural language processing, and medical imaging analysis in improving diagnostic accuracy, treatment effectiveness, and patient outcomes. Additionally, it discusses the integration of AI with electronic health records, wearable devices, and telemedicine platforms to enable personalized medicine, remote monitoring, and virtual healthcare delivery. The paper also addresses challenges such as data privacy, regulatory compliance, and ethical considerations in the adoption of AI-driven engineering solutions in healthcare. It emphasizes the importance of interdisciplinary collaboration, patient-centered care, and evidence-based practice in leveraging AI's potential to advance healthcare innovation and improve population health.
Share and Cite
Article Metrics
References
- 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., ... & Kim, R. (2016). Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. JAMA, 316(22), 2402-2410.
- Hinton, G. E., Deng, L., Yu, D., Dahl, G. E., Mohamed, A. R., Jaitly, N., ... & Kingsbury, B. (2012). Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups. IEEE Signal Processing Magazine, 29(6), 82-97.
- Krittanawong, C., Zhang, H., Wang, Z., Aydar, M., & Kitai, T. (2017). Artificial intelligence in precision cardiovascular medicine. Journal of the American College of Cardiology, 69(21), 2657-2664.
- Rajkomar, A., Oren, E., Chen, K., Dai, A. M., Hajaj, N., Hardt, M., ... & Ng, A. Y. (2018). Scalable and accurate deep learning with electronic health records. NPJ Digital Medicine, 1(1), 18.
- Topol, E. J. (2019). High-performance medicine: The convergence of human and artificial intelligence. Nature Medicine, 25(1), 44-56.
- Yu, K. H., Beam, A. L., & Kohane, I. S. (2018). Artificial intelligence in healthcare. Nature Biomedical Engineering, 2(10), 719-731.