Artificial intelligence (AI) is revolutionizing the landscape of skin and wound care by improving diagnostic accuracy, treatment effectiveness, and patient outcomes. Artificial intelligence–driven tools, including machine learning models and large language models (LLMs), enhance the precision of wound assessments, facilitate early infection detection, and streamline clinical workflows. In addition, these tools may aid in patient symptom reporting, bridging the communication gap between patients and health care providers. Current AI applications include image recognition for wound classification, patient-facing symptom-checking chatbots, and personalized treatment recommendations. The integration of AI technologies not only supports better clinical decision-making but also empowers patients through improved access, engagement, and education. These tools are currently aimed at supporting clinical decision-making, not replacing clinicians. Moving forward, the expansion of AI capabilities in skin and wound care holds great promise, driving cost-effective, scalable, and equitable health care solutions.
BT - Advances in Skin & Wound Care DO - 10.1097/asw.0000000000000353 IS - 9 LA - ENG M3 - Article N2 -Artificial intelligence (AI) is revolutionizing the landscape of skin and wound care by improving diagnostic accuracy, treatment effectiveness, and patient outcomes. Artificial intelligence–driven tools, including machine learning models and large language models (LLMs), enhance the precision of wound assessments, facilitate early infection detection, and streamline clinical workflows. In addition, these tools may aid in patient symptom reporting, bridging the communication gap between patients and health care providers. Current AI applications include image recognition for wound classification, patient-facing symptom-checking chatbots, and personalized treatment recommendations. The integration of AI technologies not only supports better clinical decision-making but also empowers patients through improved access, engagement, and education. These tools are currently aimed at supporting clinical decision-making, not replacing clinicians. Moving forward, the expansion of AI capabilities in skin and wound care holds great promise, driving cost-effective, scalable, and equitable health care solutions.
PB - Ovid Technologies (Wolters Kluwer Health) PY - 2025 SP - 457 EP - 461 T2 - Advances in Skin & Wound Care TI - Artificial Intelligence in Skin and Wound Care: Enhancing Diagnosis and Treatment With Large Language Models UR - https://journals.lww.com/aswcjournal/_layouts/15/oaks.journals/downloadpdf.aspx?trckng_src_pg=ArticleViewer&an=00129334-202510000-00003 VL - 38 SN - 1527-7941, 1538-8654 ER -