Sexual dysfunction is common in primary care and can significantly impair patients' quality of life. However, many general practitioners report difficulties in addressing this topic due to discomfort or a lack of knowledge. This article proposes a management algorithm to guide clinical practice in identifying the most frequent causes and initiating evidence-based treatments without systematically requiring specialist referral.
Primary care medicine is under increasing strain, which limits access to both quality of care and medical information. The confIAnce project, developed by the Division of Primary Care Medicine (SMPR) at Geneva University Hospitals, offers a chatbot providing general information on common chronic diseases. Based on the SMPR strategies (documents), the chatbot delivers medical information to patients and is accessible 24/7. It includes rigorous control systems (matching, groundedness, harmfulness, automated testing, semantic routing) to ensure safety. Tested since February 2025, the chatbot has already answered over 11,000 questions. confIAnce supports both patients and physicians by improving access to information and consultation quality, without replacing the doctor-patient relationship.
Whether generative, specialized, agentic, or all the later, artificial intelligence (AI) is gradually taking root in the daily lives of part of the French-speaking Swiss population. In healthcare, some applications are already in clinical use and shaping patient care. But what do we truly know about these learning systems? What blind spots remain in our understanding? To what extent can debates on transparency help maximize benefits while limiting unnecessary risks? Central or not, the issue is divisive. Without being exhaustive, this article highlights the value and challenges of AI transparency, as well as current debates on its usefulness and feasibility.
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