REVOLUTIONIZING HEALTH CARE: AI-ENABLED DISEASE DIAGNOSIS, OUTCOME PREDICTION& OPERATIONAL EFFICIENCY

Main Article Content

Rithvik Vanaparthi, S. Venkata Achuta Rao

Abstract

Artificial intelligence (AI) is ushering in a new era in healthcare, with profound implications for disease diagnosis, outcome prediction, and the optimization of healthcare operations. The integration of AI into the healthcare sector is transformative, promising unparalleled precision and efficiency. This research paper provides a comprehensive exploration of the current state of AI in healthcare. AI's role in this context is twofold: it empowers healthcare practitioners with powerful tools for more accurate disease diagnosis and patient outcome forecasting, and it streamlines healthcare operations, leading to resource optimization and cost reduction. The methodologies employed in this research encompass data collection, medical image analysis, and the implementation of AI algorithms designed to enhance disease diagnosis and prognosis. We delve into the results, emphasizing the exceptional diagnostic accuracy achieved with AI, its capability to predict patient outcomes with remarkable precision, and the profound impact it has on healthcare operations. The implications of these developments for patient care are profound; more accurate diagnosis can lead to earlier interventions and improved treatment outcomes. Healthcare optimization enhances resource allocation, thereby ensuring that healthcare facilities can serve a greater number of patients with the same resources. However, the paper also takes an objective view, addressing the challenges and limitations of AI in healthcare. Ethical concerns, data privacy, and the need for stringent regulatory oversight are subjects that require ongoing attention. While the potential of AI in revolutionizing healthcare is undeniable, it is imperative that we address these challenges to harness its full potential. In conclusion, this paper underscores the transformative potential of AI in healthcare. It emphasizes that continued research and development in this field are essential, not only to unlock the full potential of AI but also to address ethical and regulatory considerations. The age of AI-driven healthcare is upon us, and we stand at the precipice of a new era in healthcare delivery

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Article Details

How to Cite
Rithvik Vanaparthi, S. Venkata Achuta Rao. (2023). REVOLUTIONIZING HEALTH CARE: AI-ENABLED DISEASE DIAGNOSIS, OUTCOME PREDICTION& OPERATIONAL EFFICIENCY. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 14(03), 993–1001. https://doi.org/10.17762/turcomat.v14i03.14198
Section
Articles