Article artificial intelligence in service of medicine

Reference no: EM133707023

Assignment:

The source for the annotated bibliography is:

Hassoun, E., Maruscakova .L.. Valaskova, Z... &Bucova, M. (2019). Artificial intelligence in service of medicine. Bratisl Med J, 120(3), 118-122.

Summary/Critique:

The article "Artificial intelligence in service of medicine" explores the application of artificial intelligence (AI) in the field of medicine. The authors discuss how AI, specifically basic machine learning and deep learning, is being used to address the challenges faced by healthcare systems in handling information overload and translational pressure. AI is seen as a solution to the problem of managing the volume of information in science and medicine.

The article highlights various areas in medicine where AI is making progress. These include predictive analysis in gastroscopy imaging, skin cancer classification, radiation oncology, diabetic retinopathy, histologic classification of biopsies, mammograms, CT and MRI images, and colposcopy of colorectal lesions. The authors emphasize the potential benefits of AI in these areas and its ability to improve medical practice.

Additionally, the article raises the question of the true need for AI in medicine, particularly in light of the growing pressure on healthcare systems towards defensive medicine. The authors aim to provide a comprehensive view of the concept and achievements of AI in medicine, offering realistic expectations for its application.

Overall, this article provides valuable insights into the use of AI in medicine and its potential benefits for society. It offers a balanced perspective on the role of AI in healthcare and highlights the areas where AI has shown promising results.

Explanation:

Approach to solving the question:

To approach the question of selecting a topic for your Critical Annotated Bibliography on artificial intelligence in medicine and its benefits for society, you can follow these steps:

Step 1. Brainstorm: Begin by brainstorming ideas related to the intersection of artificial intelligence and medicine. Consider the various applications of AI in healthcare, such as diagnostic tools, personalized medicine, drug discovery, patient monitoring, and healthcare management.

Step 2. Narrow down the focus: Once you have a list of potential topics, narrow it down to a specific aspect that interests you the most. For example, you could focus on the impact of AI on diagnostic accuracy, the ethical considerations of using AI in healthcare, or the potential cost savings and efficiency improvements brought about by AI technologies.

Step 3. Preliminary research: Conduct preliminary research to ensure that there is enough scholarly literature available on your chosen topic. Look for peer-reviewed articles, research studies, and academic papers that discuss the benefits of AI in medicine. This will help you determine if your topic is well-researched and if you can find enough credible sources to support your annotated bibliography.

Step 4. Select scholarly articles: Using the tips mentioned in the tutorial, search for scholarly articles that align with your chosen topic. Look for articles that provide in-depth analysis, empirical evidence, and critical evaluations of the benefits of AI in medicine. Ensure that the articles are recent and published in reputable journals.

Step 5. Write summaries and critiques: Once you have selected your articles, read them thoroughly and take notes. Write a summary of each article, highlighting the main findings, methodologies used, and key arguments. Additionally, provide a critique of each article, evaluating its strengths, weaknesses, and relevance to your chosen topic.

By following these steps, you will be able to select a focused and well-supported topic for your Critical Annotated Bibliography on artificial intelligence in medicine and effectively analyze and evaluate the scholarly articles you choose to include.

Key references:

Reference provided by the student

Hassoun, E., Maruscakova .L.. Valaskova, Z... &Bucova, M. (2019). Artificial intelligence in service of medicine. Bratisl Med J, 120(3), 118-122.

Reference no: EM133707023

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