{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T13:50:27Z","timestamp":1782309027753,"version":"3.54.5"},"reference-count":8,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T00:00:00Z","timestamp":1782172800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Digit. Health"],"abstract":"<jats:p>This study examines clinician and patient experiences and concerns regarding the use of digital technology platforms, particularly artificial intelligence (AI) chatbots, for clinical care. We conducted focus groups with clinicians and patients across two disciplines \u2013 young adult mental health and prenatal care \u2013 to explore these themes. While clinicians and patients both recognized the benefits of AI chatbots, they also noted the potential for misuse and inability to consider the clinical context among other concerns. We call for AI chatbots to provide clear, culturally sensitive communication, transparent attribution of sources, disclaimers for follow-up with health care professionals, and a form of regulation to avoid bias and misuse.<\/jats:p>","DOI":"10.3389\/fdgth.2026.1851786","type":"journal-article","created":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T09:16:09Z","timestamp":1782292569000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Clinician and patient perspectives on digital technology platforms for healthcare delivery"],"prefix":"10.3389","volume":"8","author":[{"given":"Lillian C.","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine","place":["Baltimore, MD, United 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acceptability\u2014perceptions of ai chatbots for chronic health management and long COVID support: survey study","volume":"11","author":"Wu","year":"2024","journal-title":"JMIR Hum Factors"},{"key":"B8","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1007\/s11934-023-01184-3","article-title":"Potential of AI-driven chatbots in urology: revolutionizing patient care through artificial intelligence","volume":"25","author":"Talyshinskii","year":"2023","journal-title":"Curr Urol Rep"}],"container-title":["Frontiers in Digital 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