https://adrianarnaiz.me/tag/health-ai/health-aiWowchemy (https://wowchemy.com)en-usWed, 20 May 2026 09:00:00 +0000https://adrianarnaiz.me/media/avatar.jpghttps://adrianarnaiz.me/tag/health-ai/https://adrianarnaiz.me/talk/senpe-round-table-on-ai-for-science-and-ai4health-sp/Wed, 20 May 2026 09:00:00 +0000https://adrianarnaiz.me/talk/senpe-round-table-on-ai-for-science-and-ai4health-sp/<p>I participated in a <strong>round table on AI for Science and AI4Health</strong> at the <strong>SENPE Workshop</strong> in Pamplona, focused on the opportunities and risks of applying artificial intelligence to scientific and health-related domains.</p> <p>The discussion addressed:</p> <ul> <li>🧬 <strong>AI for scientific discovery</strong>: how machine learning and generative AI can support hypothesis generation, literature exploration, data analysis, and biomedical research.</li> <li>🏥 <strong>AI4Health applications</strong>: clinical decision support, patient stratification, risk prediction, and personalized interventions.</li> <li>🧪 <strong>Scientific reliability</strong>: reproducibility, validation, uncertainty, evaluation protocols, and the limits of benchmark-driven progress.</li> <li>⚖️ <strong>Responsible and trustworthy AI</strong>: bias, privacy, data governance, transparency, and human oversight in health-related AI systems.</li> <li>🤝 <strong>Interdisciplinary deployment</strong>: the need for collaboration between clinicians, researchers, data scientists, institutions, and regulators.</li> </ul> <p>The round table emphasized that AI can become a powerful tool for science and healthcare only when its deployment is grounded in rigorous validation, domain expertise, and responsible governance.</p> <p>👉 <a href="https://congreso-senpe.com/" target="_blank" rel="noopener">Visit the SENPE website</a></p>