{"id":1812,"date":"2026-08-28T17:44:23","date_gmt":"2026-08-28T17:44:23","guid":{"rendered":"https:\/\/facultyhub.elsevier.com\/en\/?page_id=1812"},"modified":"2026-10-07T20:18:15","modified_gmt":"2026-10-07T20:18:15","slug":"ai-in-health-white-paper-anz","status":"publish","type":"page","link":"https:\/\/facultyhub.elsevier.com\/en\/ai-in-health-white-paper-anz","title":{"rendered":"AI in Health white paper – ANZ"},"content":{"rendered":"\n
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New from Elsevier: Insights from 49 Medical students on AI Tools<\/p>\n\n\n\n

AI for Medical Students White Paper<\/h1>\n\n\n\n

How medical students are using AI, and why general tools aren\u2019t enough. A baseline survey on the perceptions and use of AI tools for medical students across Australia and New Zealand.<\/p>\n\n\n\n

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ABOUT THIS WHITE PAPER:<\/strong> The reality<\/em> of AI tools in ANZ medical education<\/h2>\n\n\n\n
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AI has become a staple study tool for medical students, but our baseline survey of 49 medical students across Australia and New Zealand finds a real gap between what these tools promise and what they actually deliver in medical education.<\/p>\n\n\n\n

We surveyed students across four institutions in Australia and New Zealand about how they actually use general AI tools like ChatGPT day to day, how much they trust the responses, and where those tools fall down against the demands of a medical curriculum.<\/p>\n\n\n\n

The findings explore where AI is already earning its place in students\u2019 study routines, and where it isn\u2019t: the trust gap behind a 4.6-out-of-10 confidence score, the \u201cprompt tax\u201d of constant reprompting and fact-checking, and the curriculum-alignment problem that leaves almost half of students unable to find information that they need.<\/p>\n\n\n\n

For educators and program leads, it\u2019s a read on what students are doing with AI right now, what\u2019s working, what isn\u2019t, and what it will take to bring trustworthy, curriculum-aligned AI tools into medical study.<\/p>\n\n\n\n

WHAT\u2019S INSIDE<\/strong>
Study overview & demographics<\/strong>\u00a0\u2014 page 4<\/em>
Who took part, and how the ANZ pilot study was designed.<\/p>\n\n\n\n

AI as a core study tool<\/strong>\u00a0\u2014 page 7<\/em>
How often students turn to AI, which tools they reach for, and what they use them for.<\/p>\n\n\n\n

The \u201cprompt tax\u201d<\/strong>\u00a0\u2014 page 8<\/em>
Why using general AI tools comes at a hidden cost, and what that cost looks like day to day.<\/p>\n\n\n\n

Usability gaps & curriculum alignment<\/strong>\u00a0\u2014 page 10<\/em>
Where general AI tools hold up against the demands of a medical curriculum, and where they don\u2019t.<\/p>\n\n\n\n

The path forward<\/strong> \u2014 page 14<\/em><\/p>\n\n\n\n

What a purpose-built, curriculum-aligned AI tool needs to deliver for medical students.<\/p>\n<\/section>\n<\/div>\n\n\n\n

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Get your copy of the white paper<\/h3>\n\n\n\n

Fill out the form below to get instant access to the white paper today.<\/p>\n\n\n\n

We\u2019ll also keep you in the loop about future white papers from Elsevier.<\/p>\n\n\n