Transparent Peer Review By Scholar9
Artificial Intelligence and Internet of Things in Diagnostic, Therapeutic, Operations and Data Analysis
Abstract
Artificial Intelligence and Internet of Things re definitely running parallel to humankind and the edge of being faster from humans in work is coming with its own complexities. The researchers here try to lift the veil of all the impacts of AI and IoT in the medical and healthcare sector let that be an optimistic one or cynical. And it’s pretty evident that all great things have their kind of shadows but it’s for the best for us to focus on the bright aspect because no one lights a lamp to keep it behind the door, a lamp is lit to create more light. Humankind invented and introduced Technology into the lives of people to help us make this world a better place to live in. People are rescued from death through technical methodologies while few succumb to it in the process, which is also deliberated through the case studies. The entire system of health care if seen from a birds-eye view is driven by Artificial Intelligence and the Internet of things.
Murali Mohana Krishna Dandu Reviewer
30 Sep 2024 12:06 PM
Approved
Relevance and Originality:
The paper discusses a pertinent topic by examining the intersection of Artificial Intelligence (AI) and the Internet of Things (IoT) in the healthcare sector. Given the rapid advancements in these technologies and their potential to transform healthcare, the study is both timely and relevant. However, the originality could be improved by providing specific examples or case studies that illustrate the real-world applications and impacts of AI and IoT in healthcare, rather than relying on general statements.
Methodology:
The methodology is not clearly outlined in the text. It lacks details regarding how the researchers gathered data or conducted their analysis of AI and IoT's impacts on healthcare. A well-defined methodology section describing data sources, analytical techniques, and case study selection criteria would enhance the credibility and rigor of the research.
Validity & Reliability:
While the paper touches upon significant themes, it lacks empirical evidence to support the claims made about the impacts of AI and IoT. Including statistical data or specific case studies that demonstrate the effectiveness or challenges of these technologies in healthcare would bolster the validity of the study. Discussing any potential biases or limitations in the research approach would also improve reliability.
Clarity and Structure:
The writing style is somewhat abstract and poetic, which can obscure the main arguments. A clearer, more structured approach would enhance readability and comprehension. Organizing the paper into distinct sections—such as introduction, methodology, case studies, findings, and conclusion—would help convey the information more effectively.
Results and Analysis:
The paper lacks specific results and a detailed analysis of the impacts of AI and IoT in healthcare. Including quantitative or qualitative findings, along with a critical discussion of these results, would provide valuable insights. A thorough analysis of both positive and negative impacts, supported by data, would greatly enrich the study and offer a more balanced perspective on the implications of these technologies in the healthcare sector.
IJ Publication Publisher
Thank you
Murali Mohana Krishna Dandu Reviewer