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References from Conversational AI in Hereditary Cancer Care: Sociotechnical Study of Responsible Design Requirements. Local targets link to admitted publications; unresolved targets remain external evidence.
Risks of breast, ovarian, and contralateral breast cancer for BRCA1 and BRCA2 mutation carriers
10.1001/jama.2017.7112 · External reference
Quality of life after risk-reducing salpingo-oophorectomy in women with a pathogenic BRCA variant
10.1093/jsxmed/qdad143 · External reference
Knowledge, perceptions, attitudes, and barriers pertaining to genetic literacy among surgeons: a scoping review
10.1503/cjs.001523 · External reference
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Patients are turning to TikTok for health information—here’s what clinicians need to know
10.1001/jama.2024.1280 · External reference
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Transforming healthcare with chatbots: Uses and applications-a scoping review
10.1177/20552076251319174 · External reference
Transforming health care through chatbots for medical history-taking and future directions: comprehensive systematic review
10.2196/56628 · External reference
10.4324/9780203108543
10.4324/9780203108543 · External reference
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Requirements: the key to sustainability
10.1109/ms.2015.158 · External reference
Quality of life after bilateral and contralateral prophylactic mastectomy with implant reconstruction
10.1159/000505449 · External reference
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Real-world multi-country study of mutation testing among adult women with HER2-negative advanced breast cancer
10.2217/fon-2021-1387 · External reference
Current treatment practices and prognostic factors in early-stage ovarian cancer-an analysis of the NOGGO/JAGO
10.3390/cancers15072038 · External reference
The psychosocial impact of the decision to undergo risk-reducing salpingo-oophorectomy surgery in BRCA mutation carriers and the role of physician-patient communication
10.3390/curroncol30020185 · External reference
TikTok and attention-deficit/hyperactivity disorder: a cross-sectional study of social media content quality
10.1177/07067437221082854 · External reference
Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA
10.1038/s41562-021-01056-1 · External reference
Overview of TikTok’s most viewed dermatologic content and assessment of its reliability
10.1016/j.jaad.2020.12.028 · External reference
ELIZA—a computer program for the study of natural language communication between man and machine
10.1145/365153.365168 · External reference
Turing-like indistinguishability tests for the validation of a computer simulation of paranoid processes
10.1016/0004-3702(72)90049-5 · External reference
A systematic review of AI-based chatbot usages in healthcare services
10.1108/jhom-12-2023-0376 · External reference
The use of chatbots in oncological care: a narrative review
10.2147/ijgm.s408208 · External reference
Chatbot for health care and oncology applications using artificial intelligence and machine learning: systematic review
10.2196/27850 · External reference
Chatbots for breast cancer education: a systematic review and meta-analysis
10.1007/s00520-024-09096-9 · External reference
AI chatbots versus human healthcare professionals: a systematic review and meta-analysis of empathy in patient care
10.1093/bmb/ldaf017 · External reference
Comparing physician and artificial intelligence chatbot responses to patient questions posted to a public social media forum
10.1001/jamainternmed.2023.1838 · External reference
User and provider experiences with health education chatbots: qualitative systematic review
10.2196/60205 · External reference
A systematic review of chatbots in inclusive healthcare: insights from the last 5 years
10.1007/s10209-024-01118-x · External reference
Systematic review: the use of large language models as medical chatbots in digestive diseases
10.1111/apt.18058 · External reference
Medical accuracy of artificial intelligence chatbots in oncology: a scoping review
10.1093/oncolo/oyaf038 · External reference
Large language models for chatbot health advice studies: a systematic review
10.1001/jamanetworkopen.2024.57879 · External reference
Large language models in medical chatbots: opportunities, challenges, and the need to address AI risks
10.3390/info16070549 · External reference
10.1093/oso/9780198733249.001.0001
10.1093/oso/9780198733249.001.0001 · External reference
10.3139/9783446468030.fm
10.3139/9783446468030.fm · External reference
10.2139/ssrn.5104429
10.2139/ssrn.5104429 · External reference
Navigating the path to ethical and responsible AI integration in health and life sciences with human and machine collaboration
10.47912/jscdm.412 · External reference
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Beyond bias and discrimination: redefining the AI ethics principle of fairness in healthcare machine-learning algorithms
10.1007/s00146-022-01455-6 · External reference
Explanation in artificial intelligence: insights from the social sciences
10.1016/j.artint.2018.07.007 · External reference
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AI4People—an ethical framework for a good AI society: opportunities, risks, principles, and recommendations
10.1007/s11023-018-9482-5 · External reference
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10.7551/mitpress/7585.001.0001
10.7551/mitpress/7585.001.0001 · External reference
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10.5771/9783748936879
10.5771/9783748936879 · External reference
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AI robotics in healthcare between the EU medical device regulation and the Artificial Intelligence Act: gaps and inconsistencies in the protection of patients and care recipients
10.18261/olr.11.1.2 · External reference
Doctor chatbot: the EUʼs regulatory prescription for generative medical AI
10.18261/olr.10.1.1 · External reference
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The EU medical device regulation: Implications for artificial intelligence-based medical device software in medical physics
10.1016/j.ejmp.2021.02.011 · External reference
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Die (unzureichende) private Rechtsdurchsetzung unter der KI-Verordnung
10.1628/jz-2026-0051 · External reference