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AI in Health Science: A Perspective.
Raghav Mishra1, Kajal Chaudhary1, Isha Mishra1
1GLA University, Mathura, 281406, Uttar Pradesh, India.
Current Pharmaceutical Biotechnology
|September 30, 2022
Summary
Artificial Intelligence (AI) is transforming healthcare by aiding data interpretation and driving innovation in medical fields like imaging and surgery. This article explores AI applications and strategic implementation for digital health transitions.
Area of Science:
- Medical Informatics
- Computer Science
- Healthcare Technology
Background:
- Artificial Intelligence (AI) significantly impacts medical practice by enhancing data comprehension for practitioners.
- AI involves computers mimicking intelligent behavior, with applications growing rapidly in healthcare, especially in imaging and surgery.
- While AI excels cognitively, it lacks human traits like awareness and adaptability.
Purpose of the Study:
- To explain Artificial Intelligence (AI) and its components.
- To detail the utilization of AI in healthcare settings.
- To provide strategic recommendations for AI adoption in the digital healthcare transition.
Main Methods:
- Review and explanation of AI principles and functionalities.
- Discussion of current and potential AI applications in medicine.
- Formulation of practical strategies for healthcare AI implementation.
Main Results:
- AI enhances the understanding of complex medical data.
- AI adoption is accelerating in healthcare, with numerous applications developed.
- AI offers potential for improved diagnostics, surgical assistance, and operational efficiency.
Conclusions:
- AI is a powerful tool revolutionizing healthcare delivery and medical practice.
- Strategic planning is crucial for successful AI integration into digital health ecosystems.
- Understanding AI's capabilities and limitations is key for effective implementation.
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