Artificial Intelligence in Healthcare” and “From Spreading to Embedding Innovation” Essay Exclusively available on IvyPanda Article of Choice #1: “Artificial intelligence in healthcare”

The article “Artificial intelligence in healthcare” is a peer-reviewed review that was published by Nature Biomedical Engineering, an academic journal with an intended audience consisting of bench scientists, engineers, and clinicians. Nature Biomedical Engineering “provides fair and rigorous peer review” (Nature Biomedical Engineering). The article itself was published in October 2018. The authors who worked in the review are Kun-Hsing Yu, Andrew L. Beam and Isaac S. Kohane. All three are cited to be a part of the Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. Isaac S. Kohane is additionally cited to be a representative of Boston Children’s Hospital, Boston, MA, USA. The background of the authors contributes to their credibility based on the high standards of the institutions where they operate.

Evaluating the Source

According to Resurchify (2021), Nature Biomedical Engineering is a journal covering technologies, fields, and categories related to bioengineering. Multiple topics are being mentioned and explored throughout the articles, including biomedical engineering, biotechnology, computer science applications, and medicine (miscellaneous) (Q1). The source is published by Nature Publishing Group, a publisher centered around academic data related to different research fields, including the ones mentioned prior. Moreover, Nature Biomedical Engineering is cited by a total of 5173 articles during the last three years (Researchify, 2021). This is a significant number that illustrates that multiple researchers view the data and information published in the journal as reliable and unbiased.

Evaluating the Tone

The authors’ tone is balanced and objective. That is, the narration in the article is free of ill-founded value judgments, and the language corresponds to the article’s subject matter, which is artificial intelligence in healthcare. Moreover, all the arguments are well developed and well supported. This is exemplified through the fact that the bibliography includes more than 150 sources, and no claim in the article is stated without a reference. Such methodology implied the evidence-based content presented in the review. Furthermore, while attempting to evaluate the positive effect that the implementation of AI might have on the field of healthcare, the authors put forward counter-arguments. The authors chose to explore why some of these effects might be negative and how it might be extremely expensive and complicated to imbed AI into the hospitals.

Evaluating the Content

The abstract in Artificial intelligence in healthcare consists of a few relatively concise sentences where the authors focus on highlighting the study’s purpose. Since it is a review article, methods include the gathering of information and its systematization in order to have a proper outlook on the situation. The findings address the purpose, and the paper, in general, presents a coherent piece of writing. The introduction, on the other hand, goes more in-depth in regards to the paper’s purpose and speaks about the importance of study in the modern day and age. Moreover, it provides the necessary context by starting with an example of a recently invented AI system and its significance to set the scene before proceeding to speak about AI in medicine in general. The introduction also highlights a clear roadmap of the rest of the paper.

There is no literature review in the paper per se, but 151 sources are employed. References to various studies are constantly cited, alongside visual cues to help demonstrate different models and systems. All the reviewed articles are credible, relevant and current.

The methodology in this article has the form of turning to different sources and evaluating in one paper all the possible ways of AI applications to enhance clinical practice and branches of medicines where they could be introduced. Furthermore, the ethical issues have been properly addressed since healthcare deals with people in vulnerable positions and their personal data. Research outcomes refer to the introduction and address the problem, which is the necessity to work on the gradual implementation of AI applications into medical practice despite its various advantages. The reader may check all the results independently if one wishes to since there are references supporting every claim. The discussion illustrates that the research objectives have been clearly addressed and have been related to the sources used. Furthermore, the results of the study can be generalized and theoretical and practical implications have been clearly developed. The article is coherent since there is a correspondence between the questions, their overview and outcomes.