Write AI Literature Review, the topic is AI AND ML in CABG surgery
Budget: ₹600 – ₹1,500 INR
A comprehensive literature review on recent developments in artificial intelligence is required for a science-focused research paper. The goal is to synthesise peer-reviewed work published roughly between 2020 – 2024, highlight prevailing trends, identify research gaps, and propose future directions. No experimental data collection or purely theoretical exposition is needed—this piece is strictly a literature review.
I will supply a preliminary outline and a small set of key papers. You will expand the search using scholarly databases (Google Scholar, IEEE Xplore, ACM Digital Library, Scopus) and apply clear inclusion/exclusion criteria. Please organise the discussion around major AI sub-fields—such as deep learning architectures, reinforcement learning, ethical AI, and explainable AI—while weaving in contrasting perspectives where relevant.
Deliverables
• 6,000–8,000-word manuscript, double-spaced, in either APA 7th or IEEE format (let me know which you prefer at the outset).
• Structured sections: Abstract, Introduction, Methodology of literature search, Thematic Discussion, Gaps & Future Work, Conclusion, and full reference list.
• Annotated bibliography (one-sentence summary for each source) as an appendix.
• Plagiarism report (<5 % similarity acceptable).
Acceptance criteria
1. Minimum 40 primary sources, 80 % from 2020 onward.
2. Logical flow with clear sub-headings and critical analysis, not merely summarisation.
3. Consistent in-text citation and reference styling per the chosen format.
Kindly outline your proposed search strategy, citation manager of choice (e.g., Zotero, Mendeley, EndNote), and your estimated timeline in your first message so we can align expectations quickly.
I will supply a preliminary outline and a small set of key papers. You will expand the search using scholarly databases (Google Scholar, IEEE Xplore, ACM Digital Library, Scopus) and apply clear inclusion/exclusion criteria. Please organise the discussion around major AI sub-fields—such as deep learning architectures, reinforcement learning, ethical AI, and explainable AI—while weaving in contrasting perspectives where relevant.
Deliverables
• 6,000–8,000-word manuscript, double-spaced, in either APA 7th or IEEE format (let me know which you prefer at the outset).
• Structured sections: Abstract, Introduction, Methodology of literature search, Thematic Discussion, Gaps & Future Work, Conclusion, and full reference list.
• Annotated bibliography (one-sentence summary for each source) as an appendix.
• Plagiarism report (<5 % similarity acceptable).
Acceptance criteria
1. Minimum 40 primary sources, 80 % from 2020 onward.
2. Logical flow with clear sub-headings and critical analysis, not merely summarisation.
3. Consistent in-text citation and reference styling per the chosen format.
Kindly outline your proposed search strategy, citation manager of choice (e.g., Zotero, Mendeley, EndNote), and your estimated timeline in your first message so we can align expectations quickly.