This week, you will write a mini-scientific literature review. It is mini because you will only be reviewing two sources. For this literature review assignment, we are going to give you a choice of three topics to choose from. Choose one for this assignment. For this review, be sure to: Your literature review should be 2–3 pages in length. Remember, you will need to use APA formatting in your literature review and include a title page and a reference page.

Title: An Analysis of the Role of Artificial Intelligence in Healthcare


Over the past decade, the healthcare industry has undergone significant transformations propelled by technological advancements, particularly in the field of artificial intelligence (AI). AI applications have demonstrated the potential to revolutionize healthcare by improving diagnosis, treatment, and overall patient outcomes. This mini-scientific literature review aims to analyze the role of AI in healthcare by examining two primary sources focused on different aspects of this field.


Source 1: “Artificial Intelligence in Medicine: Applications, Implications, and Ethical Considerations” by Zhang et al. (2020)

The study conducted by Zhang et al. (2020) explores the wide range of applications for AI in medicine, while also addressing the ethical considerations associated with its implementation. The authors highlight the potential of AI in disease diagnosis, treatment planning, and precision medicine. By utilizing AI algorithms, healthcare professionals can obtain accurate and timely diagnoses, leading to improved patient outcomes and reduced healthcare costs.

Furthermore, the authors discuss the ethical implications of using AI in healthcare. Specifically, they address concerns related to patient privacy, data security, and the potential biases embedded in AI algorithms. It is essential to ensure that AI systems are transparent, explainable, and accountable, enabling healthcare professionals to trust and validate AI-generated findings.

Source 2: “Artificial Intelligence–Based Approaches for Supporting Drug Repurposing and Discovery” by Alshahrani et al. (2019)

Alshahrani et al. (2019) investigate the role of AI in drug repurposing and discovery, highlighting its potential to accelerate the identification of novel therapeutic applications for existing drugs. By employing AI algorithms, researchers can examine vast amounts of biomedical data, including genomics, proteomics, and clinical literature, to elucidate new opportunities for drug repurposing. This approach offers potential cost and time savings, as repurposing existing drugs may bypass the lengthy and expensive drug development process.

The authors emphasize the importance of integrating different AI techniques, such as machine learning and natural language processing, to effectively analyze diverse datasets and identify potential candidates for drug repurposing. By leveraging AI in this context, researchers can identify new uses for approved drugs, addressing unmet medical needs and potentially accelerating the availability of treatments for patients.


The review of these two sources reveals the significant potential of AI in healthcare. As highlighted by Zhang et al. (2020), AI has the capability to improve disease diagnosis and treatment planning. By leveraging AI algorithms, healthcare professionals can access accurate and timely information, leading to enhanced patient care and optimized resource utilization. However, the ethical implications associated with AI implementation cannot be ignored. Privacy concerns, data security, and the potential biases embedded in AI algorithms require careful consideration to ensure patient trust and the responsible use of AI technologies.

Similarly, the research by Alshahrani et al. (2019) accentuates the role of AI in drug repurposing and discovery, offering potential breakthroughs in finding new therapeutic uses for existing drugs. By leveraging AI techniques across diverse datasets, researchers can identify opportunities for repurposing approved drugs, thereby accelerating the availability of treatments and potentially reducing healthcare costs.


In conclusion, this mini-scientific literature review highlights the growing importance of AI in healthcare. The utilization of AI algorithms has demonstrated significant potential for enhancing disease diagnosis, treatment planning, drug repurposing, and discovery. To fully harness the benefits of AI in healthcare, careful attention must be given to ethical considerations, including privacy, data security, and algorithmic biases. Collaborative efforts among healthcare professionals, researchers, and policymakers are necessary to ensure the responsible and equitable integration of AI technologies in healthcare practice.