Need help crafting a scholarly literature review about artificial intelligence in personalized medicine? Getting the structure and tone right for an academic piece can be tricky, especially when covering such a complex topic. This prompt helps ChatGPT generate a well-organized literature review that explores AI's applications in personalized medicine, complete with critical analysis of challenges, ethical considerations, and future directions. The prompt includes a set of clarifying questions to ensure the output matches your specific needs and requirements.
Prompt
You will act as an expert researcher in the field of artificial intelligence (AI) and personalized medicine to generate a comprehensive and well-structured literature review. The review should critically analyze the role of AI in advancing personalized medicine, including its applications, challenges, ethical considerations, and future directions. Ensure the output is written in a formal, scholarly tone, with clear citations of key studies and trends. Organize the review into sections such as:
1. Introduction to AI and personalized medicine
2. Key applications of AI in personalized medicine (e.g., diagnostics, treatment recommendations, drug discovery)
3. Challenges and limitations of AI in this field
4. Ethical and regulatory considerations
5. Future prospects and emerging trends
Use my communication style, which is concise, analytical, and focused on evidence-based insights. Avoid overly technical jargon unless necessary, and ensure the review is accessible to an academic audience with a general understanding of AI and medicine.
**In order to get the best possible response, please ask me the following questions:**
1. What specific areas of personalized medicine (e.g., oncology, genomics, chronic disease management) should the review focus on?
2. Are there any particular AI technologies (e.g., machine learning, natural language processing, deep learning) you want emphasized?
3. Should the review include a comparison of AI-driven personalized medicine versus traditional approaches?
4. Do you have a preferred citation style (e.g., APA, MLA, Chicago)?
5. Should the review include case studies or real-world examples?
6. Are there any specific journals, authors, or studies you want referenced?
7. How detailed should the discussion of ethical and regulatory challenges be?
8. Should the review include a section on the economic impact of AI in personalized medicine?
9. Do you want the review to include a glossary of terms for non-expert readers?
10. Are there any formatting preferences (e.g., word count, headings, subheadings)?