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Impact of AI in Healthcare and Its Effects by 2030
Subject area: Science,Engineering and Technology · Area of research: Artificial Intelligence
Abstract
Artificial Intelligence (AI) is rapidly transforming various sectors, with healthcare being one of the most promising areas of application. AI-driven technologies have demonstrated the potential to revolutionize healthcare by improving diagnostic accuracy, optimizing treatment plans, accelerating medical research, and enhancing overall healthcare efficiency. This paper explores the role of AI in healthcare, examining its impact on disease detection, predictive analytics, and drug development. By analysing advancements in machine learning, deep learning, natural language processing, and robotics, the study highlights how AI contributes to personalized medicine and faster, more effective patient care. Despite its significant benefits, AI implementation in healthcare faces challenges, including data availability, algorithmic bias, and ethical concerns. To fully harness AI?s potential, increased investment in research, interdisciplinary collaboration, and regulatory frameworks are required. As AI continues to evolve, its integration into healthcare will become increasingly crucial in addressing global medical challenges and improving patient outcomes by 2030.
Keywords
Artificial Intelligence, Healthcare, Machine Learning, Drug Discovery, Driven Diagnosis, Clinical Decision Making.
How to cite this paper
@article{1707774,
author = {Ebele Precious Okemba, Onwuegbuchulam C. O},
title = {Impact of AI in Healthcare and Its Effects by 2030},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {8},
number = {10},
pages = {136-141},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1707774.pdf},
abstract = {Artificial Intelligence (AI) is rapidly transforming various sectors, with healthcare being one of the most promising areas of application. AI-driven technologies have demonstrated the potential to revolutionize healthcare by improving diagnostic accuracy, optimizing treatment plans, accelerating medical research, and enhancing overall healthcare efficiency. This paper explores the role of AI in healthcare, examining its impact on disease detection, predictive analytics, and drug development. By analysing advancements in machine learning, deep learning, natural language processing, and robotics, the study highlights how AI contributes to personalized medicine and faster, more effective patient care. Despite its significant benefits, AI implementation in healthcare faces challenges, including data availability, algorithmic bias, and ethical concerns. To fully harness AI?s potential, increased investment in research, interdisciplinary collaboration, and regulatory frameworks are required. As AI continues to evolve, its integration into healthcare will become increasingly crucial in addressing global medical challenges and improving patient outcomes by 2030.},
keywords = {Artificial Intelligence, Healthcare, Machine Learning, Drug Discovery, Driven Diagnosis, Clinical Decision Making.},
month = {April},
}