I'm researching 'Artificial intelligence in medicine' and want to find a highly cited review article. Search for 'Artificial intelligence in medicine review'. Identify the review article with the highest number of citations among the initial results. Provide its title, authors, publication year, and total citation count. Additionally, describe how a user would typically access the full text of this article based on the links provided, without actually clicking any PDF or full-view links.
Navigate to scholar.google.com.co. Search for 'Artificial intelligence in medicine review'. Scan the initial search results to identify articles explicitly labeled as 'Review articles' or those that appear to be comprehensive reviews. Among the identified review articles, locate the one with the highest 'Cited by' count. Extract the title, authors, and publication year of this highly cited review article. Extract the total number of citations for this article. Examine the links associated with this article (e.g., [PDF] links, [HTML] links, 'Full View' links) to describe how a user would access its full text. Synthesize all collected information into a concise answer.
The agent successfully navigates to scholar.google.com.co and performs the search 'Artificial intelligence in medicine review'. The agent correctly identifies 'Artificial intelligence in medicine: today and tomorrow' by G Briganti and O Le Moine as a relevant review article. The agent correctly states the title as 'Artificial intelligence in medicine: today and tomorrow'. The agent correctly states the authors as 'G Briganti, O Le Moine'. The agent correctly states the publication year as '2020'. The agent correctly states the total citation count as '784'. The agent accurately describes that the full text can be accessed via a '[HTML] frontiersin.org' link associated with the article, indicating it's available as an HTML page on the Frontiers in Medicine website.