{"id":13185,"date":"2026-09-04T14:15:26","date_gmt":"2026-09-04T14:15:26","guid":{"rendered":"https:\/\/studenthub.elsevier.com\/en\/?p=13185"},"modified":"2026-09-04T14:15:26","modified_gmt":"2026-09-04T14:15:26","slug":"learning-in-the-age-of-ai","status":"publish","type":"post","link":"https:\/\/studenthub.elsevier.com\/en\/blog\/learning-in-the-age-of-ai\/","title":{"rendered":"The guide every health science student should read before using AI again"},"content":{"rendered":"\n

If you study medicine, nursing, or any health profession, you already use artificial intelligence. The question is no longer whether<\/em> you use it, but how<\/em> . And that’s precisely where “Learning in the Age of AI: A Practical Guide for Health Sciences Students<\/strong> ,” by Dr. Javier Flores Cohaila, comes in, now available completely free<\/strong> for download on our HUB.<\/p>\n\n\n\n

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Download now<\/a><\/div>\n<\/div>\n\n\n\n

This is not a theoretical manual on language models. It is a guide built on evidence, real-world cases, and a step-by-step method to ensure that artificial intelligence becomes an extension of your learning, not a crutch that weakens you as a future professional.<\/p>\n\n\n\n

The dilemma every student is experiencing (even if they don’t say it out loud)<\/strong><\/h3>\n\n\n\n

The numbers confirm it: according to an Elsevier survey of more than 3,200 researchers in 113 countries, the use of AI in academic work jumped from 37% to 58% in just one year. Among health sciences students, the picture is equally striking but much more uneven: in Puerto Rico, 73% of medical students already use generative AI; in China, only 34%; in the United States, half actively use it for their studies.<\/p>\n\n\n\n

That doesn’t mean AI is the problem. It means no one taught you how to use it properly<\/strong> . And that’s exactly the conversation this guide resolves.<\/p>\n\n\n\n

The most revealing statistic, however, is another: when health sciences students use AI, almost 40% of those interactions are for creating<\/em> and 30% for analyzing<\/em> \u2014precisely the higher-order cognitive skills that are most difficult to develop. In other words, many are delegating to AI precisely what they should be practicing most.<\/p>\n\n\n\n

What will you learn from this guide?<\/strong><\/h3>\n\n\n\n

The guide is organized around four questions that, sooner or later, every health student asks themselves:<\/p>\n\n\n\n