Artificial intelligence revolution in healthcare (Record no. 23341)
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| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250816122925.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250816b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AIKTC-KRRC |
| Transcribing agency | AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 27087 |
| Author | Pol, Mrunali |
| 245 ## - TITLE STATEMENT | |
| Title | Artificial intelligence revolution in healthcare |
| 250 ## - EDITION STATEMENT | |
| Volume, Issue number | Vol.3(3), Sep-Dec |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Ghaziabad |
| Name of publisher, distributor, etc. | MAT Journals |
| Year | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pagination | 13-19p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This paper explores the transformative role of Artificial Intelligence (AI) in healthcare. It investigates current AI technologies, their applications, and their potential to reshape the landscape of healthcare. The paper also addresses the ethical considerations, challenges, and future directions of AI in the sector. Artificial Intelligence (AI) integration in healthcare has sparked a transformative revolution, offering unprecedented advancements in diagnosis, treatment, operational efficiency, and patient care. The AI categories of application involve treatment recommendations. This paper explores the current state of AI technologies, such as machine learning, natural language processing, and computer vision. It highlights their application in various healthcare domains, from precision medicine to administrative workflows. The study also delves into AI's benefits in enhancing accuracy, reducing cost, and enabling personalized care. As the healthcare sector continues to embrace AI, the need for ethical frameworks and responsible innovation becomes paramount. This paper concludes by examining prospects, suggesting that AI's full potential lies in its ability to reshape preventive care, telemedicine, and genomics, paving the way for a more efficient and patient-centric healthcare system. This paper also explores the ethical considerations and challenges of AI implementation in healthcare, emphasizing the need for responsible and ethical AI deployment. Issues like the necessity for transparency and accountability in AI-driven healthcare decisions are thoroughly discussed. The findings highlight AI's crucial role in shaping the future of healthcare, demonstrating its potential to enhance resilience and improve patient outcomes amid global health challenges. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 22401 |
| Topical term or geographic name entry element | Artificial Intelligence & Machine Learning |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 27088 |
| Co-Author | Pol, Mrudula |
| 773 0# - HOST ITEM ENTRY | |
| Title | Research & review : Machine learning and cloud computing |
| Place, publisher, and date of publication | Ghaziabad MAT Journals |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| URL | https://matjournals.net/engineering/index.php/RRMLCC/article/view/1056 |
| Link text | Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Articles Abstract Database |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | School of Engineering & Technology | School of Engineering & Technology | Archieval Section | 16/08/2025 | 2025-1327 | 16/08/2025 | 16/08/2025 | Articles Abstract Database |