{"id":22138,"date":"2025-11-26T13:06:13","date_gmt":"2025-11-26T11:06:13","guid":{"rendered":"https:\/\/www.kapa3.gr\/?p=22138"},"modified":"2025-11-26T13:06:13","modified_gmt":"2025-11-26T11:06:13","slug":"artificial-intelligence-ai-is-transforming-the-fight-against-cancer-the-european-cancer-organisation-s-harnessing-ai-for-cancer-care-in-europe-report","status":"publish","type":"post","link":"https:\/\/www.kapa3.gr\/en\/artificial-intelligence-ai-is-transforming-the-fight-against-cancer-the-european-cancer-organisation-s-harnessing-ai-for-cancer-care-in-europe-report\/","title":{"rendered":"Artificial Intelligence (AI) is transforming the fight against cancer.The European Cancer Organisation\u2019s \u201cHarnessing AI for Cancer Care in Europe\u201d report"},"content":{"rendered":"

Artificial Intelligence (AI) is transforming the fight against cancer, enabling machines to learn, reason, and assist humans in detecting, diagnosing and treating the disease more accurately and efficiently. It works by analysing vast amounts of data, learning patterns, and making predictions or recommendations to support human decision-making.<\/strong><\/p>\n

Cancer care is rapidly transforming with the use of AI, which serves as a powerful tool in prevention, detection, treatment and research of the disease.<\/strong> The European Cancer Organisation\u2019s \u201cHarnessing AI for Cancer Care in Europe\u201d report states that AI has the potential to transform every stage of the cancer pathway. Simultaneously, the report emphasises the need for AI to be used responsibly, by protecting patients, upholding ethical standards, and aligning with European values, to ensure its benefits are delivered fairly and effectively across healthcare systems.<\/p>\n

The Promise of AI in Cancer Care<\/strong><\/p>\n

The report highlights several ways AI can improve cancer outcomes across the care pathway. In primary prevention, AI can analyse genetic, environmental, and lifestyle data to identify high-risk patients and guide preventive strategies before symptoms appear. For early detection, AI can dramatically speed up screening, reducing test interpretation from days to hours, improving accuracy, and lowering missed diagnoses. In diagnostics, deep-learning models trained on large datasets can detect even the smallest lesions, prioritise urgent cases, and support more precise diagnoses. AI also enables personalised treatment by integrating tumour genomics, imaging data, and real-world outcomes to help clinicians select the most effective therapies for individual patients. Finally, in drug development, AI can identify promising compounds and targets, shortening traditional development cycles and discovering new uses for existing medicines.<\/p>\n

Challenges That Cannot Be Ignored<\/strong><\/p>\n

However, the report also highlights significant risks associated with AI in cancer care. Key concerns include regulatory gaps as AI tools advance faster than current rules, making it challenging to ensure they remain safe, accurate, and accountable. Many promising AI systems require further validation in real-world clinical settings, as untested tools could lead to misdiagnoses or unsafe decisions. Bias and inequity are also risks, since AI trained on unrepresentative data may produce less accurate recommendations for specific patient groups. Implementation barriers, such as limited infrastructure, funding, and trained staff, can hinder the integration of AI into everyday healthcare. Finally, trust issues may arise, as both patients and clinicians need to understand and have confidence in AI systems for them to be effectively adopted.<\/p>\n

Policy Recommendations: A Roadmap for Safe and Effective Use<\/strong><\/p>\n

To tackle these challenges, the report puts forward four key recommendations. First, it calls for national standards and validation frameworks, including speciality-specific rules and post-market monitoring of AI tools. Second, it emphasises the importance of training and literacy, proposing pan-European AI education to ensure that at least 50% of oncology professionals are confident in using AI by 2030. Third, the report urges robust regulatory guidance and oversight, including EU-wide support for data protection under GDPR, implementation of the AI Act, and strong patient engagement to ensure clinical accountability. Finally, it highlights the need for investment in data infrastructure, leveraging the European Health Data Space to harmonise systems, modernise cancer registries, and build representative datasets that support safe and effective AI deployment.<\/p>\n

Why This Matters for Kapa3 <\/strong><\/p>\n

Building on these advancements, K3 is preparing to launch its digital assistant, \u201cMyrto\u201d, in 2026. Designed to harness the power of AI, \u201cMyrto\u201d will support patients and healthcare professionals across the cancer care pathway. By integrating cutting-edge AI capabilities with user-friendly guidance, \u201cMyrto\u201d exemplifies K3\u2019s commitment to improving outcomes, streamlining workflows, and empowering both patients and clinicians in Europe\u2019s rapidly evolving healthcare landscape.<\/p>\n

To see the full article, please click here.\"\"<\/p>\n

https:\/\/www.europeancancer.org\/resources\/publications\/harnessing-ai-for-cancer-care-in-europe.html<\/p>\n","protected":false},"excerpt":{"rendered":"

Artificial Intelligence (AI) is transforming the fight against cancer, enabling machines to learn, reason, and assist humans in detecting, diagnosing and treating the disease more accurately and efficiently. 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