https://annekathrinkleine.netlify.app/categories/science-communication/ Recent content in science communication on Anne-Kathrin Kleine Hugo -- gohugo.io en Mon, 31 Aug 2026 00:00:00 +0000 https://annekathrinkleine.netlify.app/blog/2026-08-in-mind-doctor-meet-ai/ Mon, 31 Aug 2026 00:00:00 +0000 https://annekathrinkleine.netlify.app/blog/2026-08-in-mind-doctor-meet-ai/ <p>How does AI change the way doctors and therapists make decisions – and how do patients feel about it? Together with Julia Cecil, Selina Angerer, Eesha Kokje, Susanne Gaube, and Eva Lermer, I wrote an article for a broad audience in the <strong>special issue on artificial intelligence of <a href="https://www.in-mind.org/" target="_blank" rel="noopener">In-Mind Magazine</a></strong> (Issue 08/2026).</p> <h4 id="what-the-article-covers">What the article covers <a href="#what-the-article-covers"></a> </h4> <ul> <li><strong>Where AI is already used:</strong> Radiology was an early adopter, with hundreds of AI tools on the European market. Mental healthcare lags behind – in our <a href="https://annekathrinkleine.netlify.app/blog/2024-12-ai-cdss-mental-healthcare-product-review/">product review</a>, only seven AI applications had regulatory clearance, even though the number of <a href="https://annekathrinkleine.netlify.app/blog/2023-02-advancing-mental-health-care-with-ai-enabled-precision-psychiatry-tools-a-patent-review/">patents</a> is rising.</li> <li><strong>What drives acceptance:</strong> trust, the expected usefulness and ease of use of AI, social influence, and the fit with clinical workflows ( <a href="https://annekathrinkleine.netlify.app/blog/2024-08-predictors-of-health-care-practitioners-intention-to-use-ai-enabled-clinical-decision-support-systems-meta-analysis-based-on-the-unified-theory-of-acceptance-and-use-of-technology/">meta-analysis</a>); practitioners&rsquo; learning intentions and ethical knowledge ( <a href="https://annekathrinkleine.netlify.app/blog/2025-04-mental-health-practitioners-ai-adoption/">survey study</a>); and, for patients, costs, expertise, and privacy ( <a href="https://annekathrinkleine.netlify.app/blog/2024-04-skin-cancer-screening-ai-app-vs-dermatologist/">conjoint study</a>).</li> <li><strong>How AI shapes decisions:</strong> People sometimes appreciate algorithms and sometimes avoid them – often after seeing an AI make a mistake – and they forgive human errors more readily than machine errors.</li> <li><strong>What can go wrong:</strong> automation bias, biased training data, and models whose performance degrades when the data they encounter changes.</li> </ul> <h4 id="our-take-home-message">Our take-home message <a href="#our-take-home-message"></a> </h4> <p>Two principles should guide the use of AI in healthcare: <strong>calibrated trust</strong> – relying on AI as much as its actual performance warrants (the article compares this to using a GPS) – and <strong>human oversight</strong>, treating AI like a promising new intern rather than a replacement. Humans should stay in the driver&rsquo;s seat, with patient care at the center.</p> <h4 id="read-the-article">Read the article <a href="#read-the-article"></a> </h4> <p>Cecil, J., Angerer, S., Kokje, E., Gaube, S., <strong>Kleine, A.-K.</strong>, &amp; Lermer, E. (2026). Doctor, meet AI: How AI systems influence human decision-making in healthcare. <em>In-Mind Magazine</em>, Issue 08/2026. <a href="https://www.in-mind.org/article/doctor-meet-ai-how-ai-systems-influence-human-decision-making-in-healthcare" target="_blank" rel="noopener">Read on in-mind.org</a></p>