Neha Vaishnav,
Anjali Singh,
- Student Computer Science Engineering, Poornima College of Engineering, Jaipur Rajasthan India
- Assistant Professor Computer Science Engineering, Poornima College of Engineering, Jaipur Rajasthan India
Abstract
Artificial Intelligence (AI) stands as a transformative force within healthcare, offering multifaceted support to various processes and medical professionals. This comprehensive study investigates the extensive array of AI applications and its potential to reshape the healthcare landscape. Specifically, it examines the utilization of deep-learning methodologies in harnessing vast medical datasets to enhance healthcare provision. Expanding beyond theoretical discussions, this paper scrutinizes AI’s role in breast cancer, seizure, and tumor detection, alongside its contributions to drug discovery endeavors. Moreover, it addresses the challenges and constraints inherent in AI adoption, while also envisioning its future trajectory within the healthcare domain. The article traverses a wide spectrum of AI integration in healthcare, encompassing heightened diagnostic accuracy, personalized medical interventions, pharmaceutical breakthroughs, and operational efficiency enhancements. Furthermore, it confronts the ethical ramifications associated with AI integration, emphasizing the imperative of principled and equitable implementation practices. By synthesizing empirical findings and theoretical insights, this study contributes to a nuanced understanding of AI’s evolving role in healthcare delivery, paving the way for its responsible and impactful integration.
Keywords: CVNN, Generative Adversarial Networks, MRI, ML, Artificial Intelligence, Computer Vision, RPA.
[This article belongs to Journal of Artificial Intelligence Research & Advances(joaira)]
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Journal of Artificial Intelligence Research & Advances
| Volume | 11 |
| Issue | 02 |
| Received | April 6, 2024 |
| Accepted | April 17, 2024 |
| Published | June 20, 2024 |