Abstract

Artificial intelligence can reduce the burden on doctors and improve their analytical skills. Collaboration between physicians and artificial intelligence has the greatest potential to improve clinical decision-making and patient health outcomes. Due to the complexity of the main symptoms of the diseases, it is difficult to develop early diagnostic tools. Therefore, effective and timely diagnosis of the disease remains a challenge in the medical field. Although the integration of artificial intelligence into medical practice is still in its early stages, its full use for medical diagnostics is possible, especially in the direction of cancer prevention. Artificial intelligence can have a significant impact on medical practice, in particular improving the accuracy of diagnosis, saving costs and time compared to traditional diagnostic methods. Also, artificial intelligence has the potential to make clinical laboratory testing more accurate, faster, and more efficient. It is worth noting that in the health sector, errors in the diagnostic process are the biggest problem. Artificial intelligence can minimize diagnostic errors and detect life-threatening diseases in patients at an early stage. In this regard, the decisive role of artificial intelligence in determining the dosage of medicines, as well as in predicting drug contraindications, which is important for improving the treatment results, is crucial. Artificial intelligence has the potential to analyze individual cases and compare them with patient databases, allowing for individualized treatment planning. This indicates the revolutionary potential of artificial intelligence in medicine. However, experts admit that artificial intelligence presents a challenge because the implementation of algorithms is not an independent process and takes place in a dynamic environment where human reaction and adaptation play a crucial role. Medical education about artificial intelligence is essential because future doctors will have to provide medical services to patients in completely different healthcare settings. To fully realize the potential of artificial intelligence, it is necessary to have properly qualified human resources, to collect quality medical data, to take into account the confidentiality and availability of patient data. Continuous evaluation of AI systems is essential to ensure their sustainable performance over time. Arguably, collaboration between computer scientists and healthcare providers is essential for the practical and successful implementation of artificial intelligence.

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