Barański Jan
Collegium Medicum, Uniwersytet Jana Kochanowskiego w Kielcach.
Przegl Epidemiol. 2024 Dec 10;78(3):303-317. doi: 10.32394/pe/195240. Epub 2024 Oct 25.
AI is revolutionizing medical diagnostics around the world, innovating in a variety of contexts, from leading US hospitals to facilities in developing countries. Below we present examples of AI implementations in medical diagnostics from different regions, taking into account the effectiveness and results of these solutions and forecasts for the development of this technology. Regarding the future of artificial intelligence in medical diagnostics, the article considered potential innovations such as the development of deep learning algorithms and integration with 5G technologies and the Internet. Attention is paid to the possibilities of further personalization of healthcare and to the challenges related to the need to adapt legal regulations and data management. It also indicates the directions of future research that may contribute to the further development of AI in medical diagnostics and the improvement of the quality of healthcare not only in Poland, but around the world.
人工智能正在全球范围内彻底改变医疗诊断，在从美国顶尖医院到发展中国家医疗机构等各种环境中进行创新。下面我们展示不同地区人工智能在医疗诊断中的应用实例，同时考虑这些解决方案的有效性、成果以及该技术的发展预测。关于人工智能在医疗诊断领域的未来，本文探讨了深度学习算法的发展、与5G技术及互联网的整合等潜在创新。还关注了医疗保健进一步个性化的可能性以及与法律法规调整和数据管理需求相关的挑战。文章还指出了未来研究方向，这些研究可能有助于人工智能在医疗诊断领域的进一步发展，不仅提升波兰，而且提升全球的医疗保健质量。
