The world of medicine is undergoing a revolution thanks to the introduction of artificial intelligence (AI). Even today, AI plays a key role in the diagnosis of diseases, the analysis of medical data, and even in the development of new drugs.

One of the most striking examples of the use of AI is to help in the early diagnosis of complex diseases such as cancer. Machine learning algorithms trained on millions of medical images can analyze X-rays, CT scans and MRI scans with accuracy that sometimes exceeds the capabilities of experienced doctors. For example, AI-based systems such as IBM Watson Health are already being used to detect lung and breast cancers at an early stage, which significantly increases the chances of successful treatment.

AI is also actively used for personalized therapy selection. This approach is based on the analysis of the patient's genomic data, which allows the development of drugs and treatments targeting specific mutations or biomarkers. This leads to the creation of "custom medicines" that can be more effective and cause fewer side effects.

In addition, AI helps medical institutions optimize their work processes. AI-controlled robotic systems can automate routine tasks such as filling out medical records, making appointments, and even surgical operations, which reduces the workload on staff and minimizes human error.

Although AI cannot yet completely replace doctors, its role in medicine continues to grow. The future of healthcare promises to be more accurate, faster and more accessible thanks to technologies that turn machines into invaluable assistants to doctors.