{"id":88653,"date":"2025-08-13T11:54:40","date_gmt":"2025-08-13T11:54:40","guid":{"rendered":"https:\/\/fervent-dubinsky.82-165-171-139.plesk.page\/?p=88653"},"modified":"2025-08-13T12:05:54","modified_gmt":"2025-08-13T12:05:54","slug":"between-algorithms-and-empathy-the-new-face-of-aesthetic-medicine","status":"publish","type":"post","link":"https:\/\/fervent-dubinsky.82-165-171-139.plesk.page\/?p=88653&lang=en","title":{"rendered":"Between algorithms and empathy: The new face of aesthetic medicine"},"content":{"rendered":"<p><strong>Artificial intelligence (AI) is revolutionising aesthetic medicine, transforming how clinics diagnose, plan, and execute treatments. However, experts are warning: precision alone is not enough. True success in aesthetic outcomes still depends on a vital element: human connection.<\/strong><\/p>\n<h3>A technological leap forward<\/h3>\n<p>Advanced systems like VISIA Skin Analysis now allow professionals to assess skin issues invisible to the naked eye, compare metrics with age-matched norms, and simulate results through 3D imaging and augmented reality. AI can process millions of data points in seconds, forecasting treatment outcomes with impressive accuracy; in some cases within <strong>2mm of error for 80% of patients<\/strong>.<\/p>\n<p>Moreover, <strong>AI is enabling hyper-personalised treatment plans<\/strong> by incorporating biometric, medical, and lifestyle data. Clinics benefit from reduced documentation time, improved workflow efficiency and fewer human errors; all contributing to safer and more effective treatments.<\/p>\n<h3>But is technology alone enough?<\/h3>\n<p data-start=\"120\" data-end=\"550\">Despite these advances, A<strong>I has its limits<\/strong>. Consider the following scenario: a patient named Mar\u00eda visits a clinic seeking facial rejuvenation after going through a difficult emotional period. The AI analyses her data and recommends a technically optimal protocol. However, it fails to detect what truly matters: Mar\u00eda\u2019s real goal <strong>isn\u2019t just to restore facial symmetry, but to regain her self-esteem and emotional well-being.<\/strong><\/p>\n<p data-start=\"552\" data-end=\"864\">Another example is Carlos, a patient concerned about his tired appearance. The AI identifies dark circles as the issue and suggests an immediate cosmetic solution. Yet during the medical consultation, it becomes clear that <strong>his fatigue isn\u2019t aesthetic in origin; it stems from chronic stress and lack of sleep.<\/strong><\/p>\n<p data-start=\"866\" data-end=\"1230\">These examples illustrate how <strong>AI can interpret the <em data-start=\"917\" data-end=\"923\">what<\/em>, but not the <em data-start=\"937\" data-end=\"942\">why<\/em><\/strong>. As recent research points out, artificial intelligence systems often fail to capture subjective aspects such as personal perception, emotional vulnerability, or deeper psychological nuances. And in aesthetic medicine, understanding the <em data-start=\"1180\" data-end=\"1185\">why<\/em> is just as important as treating the <em data-start=\"1223\" data-end=\"1229\">what<\/em>.<\/p>\n<h3>A hybrid model: data meets dialogue<\/h3>\n<p>Leading practices are embracing a <strong>hybrid consultation model that integrates AI and empathy<\/strong>. The process begins digitally; AI analyses intake forms, photos, and medical history to generate an initial report. Then, during the in-person consultation, the physician interprets this data in light of the patient\u2019s story, emotions and real-life context.<\/p>\n<p>Thanks to visual simulation tools, patients can co-design their treatment, preview expected outcomes, and voice their preferences. This participatory model helps <strong>align expectations and reduces post-treatment dissatisfaction<\/strong>.<\/p>\n<p>Post-procedure, AI assists with progress tracking via apps and automated check-ins, while the doctor remains responsible for clinical judgment and emotional support.<\/p>\n<h3>The value of human connection<\/h3>\n<p data-start=\"117\" data-end=\"447\">According to recent studies,<strong> 85% of patients prefer a doctor who listens and demonstrates empathy<\/strong> over one who is purely technical. Additionally, <strong>96% want their opinions to be considered<\/strong> when clinical decisions are made. While patients value AI, only a minority would trust it without the oversight of a qualified professional.<\/p>\n<p>In aesthetic medicine; where trust, reassurance and confidence play a central role; <strong>human presence remains irreplaceable.<\/strong><\/p>\n<h3>At IT Pharma, technology enhances the human touch<\/h3>\n<p data-start=\"106\" data-end=\"347\">At IT Pharma, we firmly believe that <strong>innovation should elevate, not replace, the human component of medicine<\/strong>. That is why we support tools that empower professionals, encourage dialogue, and bring doctors and patients closer together.<\/p>\n<p data-start=\"349\" data-end=\"435\">Because in the age of algorithms, empathy remains the most advanced technology of all.<\/p>\n<p>&nbsp;<\/p>\n<p><em>Article written by: \u00c1lvaro L\u00f3pez Marco<\/em><br data-start=\"484\" data-end=\"487\" \/><em>Read the full article: <a href=\"https:\/\/www.linkedin.com\/pulse\/between-algorithms-empathy-new-face-aesthetic-alvaro-lopez-marco-gnirf\/?trackingId=8UVq0HZFQRuKIe6EINh9WA%3D%3D\">Between Algorithms and Empathy: The New Face of Aesthetic Medicine<\/a><\/em><\/p>\n<p>&nbsp;<\/p>\n<h3>Bibliographic References<\/h3>\n<ul>\n<li>Knoops PG, et al. (2019). Improving the Prediction of Facial Surgery Outcomes with Artificial Intelligence<\/li>\n<li>Al\u2010Dhubaibi, M. S., Mohammed, G. F., Atef, L. M., Bahaj, S. S., Al\u2010Dhubaibi, A. M., &amp; Bukhari, A. M. (2025). Artificial Intelligence in Aesthetic Medicine: Applications, Challenges, and Future Directions. <em>Journal Of Cosmetic Dermatology<\/em>, <em>24<\/em>(6). <a href=\"https:\/\/doi.org\/10.1111\/jocd.70241\">https:\/\/doi.org\/10.1111\/jocd.70241<\/a><\/li>\n<li>Mamcarz, I., Podle\u015bna, M., Bis, E., Bia\u0142ek, A., Curzytek, K., Guz, A., Wilhelm, K., Majewski, M., Torres, K., &amp; Surowiecka, A. (2025b). AI-Based Facial Analysis vs Self-Report: A Pilot Study Using Insights From Pre-Procedural Psychological Tests. <em>Medical Science Monitor<\/em>, <em>31<\/em>. <a href=\"https:\/\/doi.org\/10.12659\/msm.947227\">https:\/\/doi.org\/10.12659\/msm.947227<\/a><\/li>\n<li>Faad, R. S. M. (2024, 27 febrero). AI &amp; AR in Aesthetic Consultations: Revolutionizing Patient Experience. <em>MedEsthetics<\/em>. <a href=\"https:\/\/www.medestheticsmag.com\/research\/devices\/article\/22882665\/canfield-imaging-systems-ai-ar-in-aesthetic-consultations-revolutionizing-patient-experience\">https:\/\/www.medestheticsmag.com\/research\/devices\/article\/22882665\/canfield-imaging-systems-ai-ar-in-aesthetic-consultations-revolutionizing-patient-experience<\/a><\/li>\n<li>Moyer, K. (s.\u00a0f.). <em>What patients want most from their doctors | Rendia<\/em>. <a href=\"https:\/\/rendia.com\/resources\/insights\/what-patients-want-most-from-their-doctors\/#:~:text=What%20do%20patients%20want%20from,one%20who%20is%20less%20expensive\">https:\/\/rendia.com\/resources\/insights\/what-patients-want-most-from-their-doctors\/#:~:text=What%20do%20patients%20want%20from,one%20who%20is%20less%20expensive<\/a><\/li>\n<li>Levinson, W., Kao, A., Kuby, A., &amp; Thisted, R. A. (2005). Not all patients want to participate in decision making. <em>Journal Of General Internal Medicine<\/em>, <em>20<\/em>(6), 531-535. <a href=\"https:\/\/doi.org\/10.1111\/j.1525-1497.2005.04101.x\">https:\/\/doi.org\/10.1111\/j.1525-1497.2005.04101.x<\/a><\/li>\n<li>Albert T Young, Dominic Amara, Abhishek Bhattacharya, Maria L Wei (2021). Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review. <em>The Lancet Digital Health<\/em>, 3, 599-611. <a href=\"https:\/\/doi.org\/10.1016\/S2589-7500(21)00132-1\">https:\/\/doi.org\/10.1016\/S2589-7500(21)00132-1<\/a>.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence (AI) is revolutionising aesthetic medicine, transforming how clinics diagnose, plan, and execute treatments. However, experts are warning: precision alone is not enough. True success in aesthetic outcomes still depends on a vital element: human connection. A technological leap forward Advanced systems like VISIA Skin Analysis now allow professionals to assess skin issues invisible [&hellip;]<\/p>\n","protected":false},"author":94,"featured_media":88645,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_seopress_robots_primary_cat":"none","_seopress_titles_title":"","_seopress_titles_desc":"","_seopress_robots_index":"","footnotes":""},"categories":[877],"tags":[],"class_list":{"0":"post-88653","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-sin-categoria-en"},"_links":{"self":[{"href":"https:\/\/fervent-dubinsky.82-165-171-139.plesk.page\/index.php?rest_route=\/wp\/v2\/posts\/88653","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fervent-dubinsky.82-165-171-139.plesk.page\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fervent-dubinsky.82-165-171-139.plesk.page\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fervent-dubinsky.82-165-171-139.plesk.page\/index.php?rest_route=\/wp\/v2\/users\/94"}],"replies":[{"embeddable":true,"href":"https:\/\/fervent-dubinsky.82-165-171-139.plesk.page\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=88653"}],"version-history":[{"count":4,"href":"https:\/\/fervent-dubinsky.82-165-171-139.plesk.page\/index.php?rest_route=\/wp\/v2\/posts\/88653\/revisions"}],"predecessor-version":[{"id":88660,"href":"https:\/\/fervent-dubinsky.82-165-171-139.plesk.page\/index.php?rest_route=\/wp\/v2\/posts\/88653\/revisions\/88660"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/fervent-dubinsky.82-165-171-139.plesk.page\/index.php?rest_route=\/wp\/v2\/media\/88645"}],"wp:attachment":[{"href":"https:\/\/fervent-dubinsky.82-165-171-139.plesk.page\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=88653"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fervent-dubinsky.82-165-171-139.plesk.page\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=88653"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fervent-dubinsky.82-165-171-139.plesk.page\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=88653"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}