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Pages:
1 page/≈275 words
Sources:
3 Sources
Level:
APA
Subject:
Literature & Language
Type:
Annotated Bibliography
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
$ 3.6
Topic:
AI in Healthcare (Annotated Bibliography Sample)
Instructions:
how artificial intelligence (AI) might improve care for patients both now and in a few years, with particular attention to operational efficiency, customized medication, and diagnostic accuracy in medical settings. They analyze a range of research that show the effectiveness and applicability of AI technology spanning a range of clinical diseases, using a methodical assessment technique. The many benefits of AI in enhancing medical results are crucially illustrated by this article. They add to an increasing quantity of material that supports the integration of AI in clinical practices, hence affecting subsequent medical policy, by providing a methodical review of the developing uses of AI.
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Content:
Annotated Bibliography on Artificial Intelligence in Healthcare
Ondiek S. Oluoch
Edusson
September 23, 2024
Annotated Bibliography on Artificial Intelligence in Healthcare
The preference of technological in Artificial Intelligence (AI) has made a crucial change in the medical department by providing unique solutions for patients care, increased functionality of equipment, and clinical analysis. The cooperation of AI with hospitals provides significant solutions advancing the diagnostics, and overall intensive care. Using AI in identifying images, introduces complexity and innovative in healthcare. In the research process, a magnified process was used which comprises Google Scholar, and PubMed which included Machine Learning (ML), and AI applications in medicine.
Annotated Bibliography
Panesar, A. (2019). Machine Learning and AI for Healthcare. Apress.
This book explains the advancement of this technique in medical practices, from screening to therapeutic scheme development. Panesar starts by giving a firm introduction in the aspect of AI and ML serving the audience at all levels. An important significant is the explanation of real world implementation of AI and ML as it consisted of data analysis, and rules recognition. Panesar also offers a reflective conversation on achieving equilibrium amongst sustainable distribution and creativity. The incorporation of case studies and examples further demonstrates the practical approach, which enhances the viewer's awareness of the issues being covered.
Sharma, A. (2024). Artificial intelligence in healthcare. In Revolutionizing the Healthcare Sector with AI (pp. 1-25). IGI Global.
This context analyses the effects of integrity, individual concerns, and biasness accompanied with AI technique’s in clinics. Sharma examines this procedure, participating in answering questionnaires in collecting relevant information concerning the challenges of AI. But he found that as AI has improved the health sector, ethnicity and privacy of individuals remains undressed. The technique gives results of perception of doctors at a broader area.
Shaikh, A. K., Alhashmi, S. M., Khalique, N.,...
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