Artificial Intelligence in Biomedical Engineering and Its Influence on Healthcare Structure: Current and Future Prospects
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| הוצא לאור ב: | Bioengineering vol. 12, no. 2 (2025), p. 163 |
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| מחבר ראשי: | |
| מחברים אחרים: | , , , |
| יצא לאור: |
MDPI AG
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| נושאים: | |
| גישה מקוונת: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 024 | 7 | |a 10.3390/bioengineering12020163 |2 doi | |
| 035 | |a 3170945819 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 100 | 1 | |a Tripathi, Divya |u School of Health Sciences, University of Petroleum and Energy Studies, Dehradun 248007, Uttarakhand, India; <email>divya.tripathi@ddn.upes.ac.in</email> (D.T.); | |
| 245 | 1 | |a Artificial Intelligence in Biomedical Engineering and Its Influence on Healthcare Structure: Current and Future Prospects | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Artificial intelligence (AI) is a growing area of computer science that combines technologies with data science to develop intelligent, highly computation-able systems. Its ability to automatically analyze and query huge sets of data has rendered it essential to many fields such as healthcare. This article introduces you to artificial intelligence, how it works, and what its central role in biomedical engineering is. It brings to light new developments in medical science, why it is being applied in biomedicine, key problems in computer vision and AI, medical applications, diagnostics, and live health monitoring. This paper starts with an introduction to artificial intelligence and its major subfields before moving into how AI is revolutionizing healthcare technology. There is a lot of emphasis on how it will transform biomedical engineering through the use of AI-based devices like biosensors. Not only can these machines detect abnormalities in a patient’s physiology, but they also allow for chronic health tracking. Further, this review also provides an overview of the trends of AI-enabled healthcare technologies and concludes that the adoption of artificial intelligence in healthcare will be very high. The most promising are in diagnostics, with highly accurate, non-invasive diagnostics such as advanced imaging and vocal biomarker analyzers leading medicine into the future. | |
| 653 | |a Language | ||
| 653 | |a Medical electronics | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Deep learning | ||
| 653 | |a Disease | ||
| 653 | |a Mammography | ||
| 653 | |a Life sciences | ||
| 653 | |a Logic programming | ||
| 653 | |a Robots | ||
| 653 | |a Biosensors | ||
| 653 | |a Biomedical engineering | ||
| 653 | |a Computer vision | ||
| 653 | |a Cognitive ability | ||
| 653 | |a Medical imaging | ||
| 653 | |a Chatbots | ||
| 653 | |a Cognition & reasoning | ||
| 653 | |a Clinical outcomes | ||
| 653 | |a Health care | ||
| 653 | |a Abnormalities | ||
| 653 | |a Machine learning | ||
| 653 | |a Electronic health records | ||
| 653 | |a Medical science | ||
| 653 | |a Data science | ||
| 653 | |a Neural networks | ||
| 653 | |a Decision making | ||
| 653 | |a Support vector machines | ||
| 653 | |a Biomarkers | ||
| 653 | |a Engineering | ||
| 653 | |a Natural language processing | ||
| 653 | |a Algorithms | ||
| 653 | |a Interdisciplinary subjects | ||
| 653 | |a Analyzers | ||
| 700 | 1 | |a Hajra, Kasturee |u School of Public Health, SRM Medical College, Chennai 603203, Tamil Nadu, India | |
| 700 | 1 | |a Mulukutla, Aditya |u School of Health Sciences, University of Petroleum and Energy Studies, Dehradun 248007, Uttarakhand, India; <email>divya.tripathi@ddn.upes.ac.in</email> (D.T.); | |
| 700 | 1 | |a Shreshtha, Romi |u School of Health Sciences, University of Petroleum and Energy Studies, Dehradun 248007, Uttarakhand, India; <email>divya.tripathi@ddn.upes.ac.in</email> (D.T.); | |
| 700 | 1 | |a Maity, Dipak |u Integrated Nanosystems Development Institute, Indiana University Indianapolis, Indianapolis, IN 46202, USA; Department of Chemistry and Chemical Biology, Indiana University Indianapolis, Indianapolis, IN 46202, USA | |
| 773 | 0 | |t Bioengineering |g vol. 12, no. 2 (2025), p. 163 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3170945819/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3170945819/fulltextwithgraphics/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3170945819/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |