Sign In
Not register? Register Now!
Essay Available:
Pages:
2 pages/β‰ˆ550 words
Sources:
2 Sources
Style:
APA
Subject:
Health, Medicine, Nursing
Type:
Research Paper
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
$ 10.37
Topic:

Peer-Reviewed Studies on the Use of AI in Healthcare

Research Paper Instructions:

compose a written report based on research from published, peer-reviewed papers. You are free to choose any topic that relates to your field. You will choose two articles on the topic and review the findings and statistical analyses found in the papers. Read each paper in its entirety, but your focus for this paper should be on the statistical analyses done in each study.
Your paper should be a minimum of 500 words in length and follow APA writing guidelines.
Structure your report as follows:
Introduce the topic and problem.
Summarize the studies and findings for each of the papers you reviewed.
Identify and explain the statistical tests done in each study. (Refer to course content -- videos, readings, and textbook chapters -- to help you identify statistical approaches).
Compare and contrast the statistical analysis done in each study. Identify similarities and differences. Explain why you think the approaches varied.
Requirements:
Include at least two high-quality, peer-reviewed studies.
Your paper should be between 500 and 750 words.
Follow APA guidelines

Research Paper Sample Content Preview:

Dialysis Patients
Student’s Name
Institution
Course Details
Instructor
Date Of Submission
Dialysis Patients
Introduction
The use of artificial intelligence (AI) is growing rapidly across various industries, including healthcare. In healthcare, AI is being used to improve diagnosis accuracy, optimize treatment plans, and predict disease outcomes. However, as with any new technology, there are challenges to overcome, particularly in terms of data quality and privacy. In this report, we will review two peer-reviewed studies on the use of AI in healthcare and analyze the statistical tests done in each study.
Summary of Studies and Findings
The first study, conducted by Xiong et al. (2021), aimed to evaluate the effectiveness of an AI-based system in diagnosing conducting CT radiomics. The study used a dataset of 190 CT radiomics cases and 190 controls, with the AI system trained on 80% of the data and tested on the remaining 20%. The results showed that the AI system achieved an accuracy of 91% in diagnosing CT radiomics, outperforming the accuracy of human experts. The second study, conducted by Johnson et al. (2019), aimed to predict the progression of Alzheimer's disease using an AI-based system. The study used a dataset of 1,000 patients with Alzheimer's disease and 1,000 controls, with the AI system trained on 70% of the data and tested on the remaining 30%. The results showed that the AI system was able to accurately predict the progression of Alzheimer's disease in patients with an accuracy of 86%.
Statistical Tests Done in Each Study
In the study by Xiong et al. (2021), the statistical analysis included the use of a logistic regression model to assess the performance of the AI system in conducting CT radiomics. The researchers also used a receiver operating characteristic (ROC) curve analysis to evaluate the accuracy of the AI system. In addition, they conducted a sensitivity analysis to examine the impact of missing data on the performance of the AI system. In the study by Johnson et al. (2020), the statistical analysi...
Updated on
Get the Whole Paper!
Not exactly what you need?
Do you need a custom essay? Order right now:
Order

πŸ‘€ Other Visitors are Viewing These APA Research Paper Samples:

HIRE A WRITER FROM $11.95 / PAGE
ORDER WITH 15% DISCOUNT!
Order Now