Artificial intelligence in oncology

Artificial intelligence (AI) and machine learning techniques are making their way into medicine more and more. These changes include, inter alia, cancer research and oncology itself, where the potential applications are extremely extensive. Artificial intelligence is a technology that broadens the horizons of science - it allows the processing of huge amounts of data, and thus faster diagnosis and optimization of cancer treatment. These are just a few of the benefits of using innovative technologies in medicine.

Artificial intelligence - what is it?

Artificial intelligence is a technology that has already penetrated into our daily lives, and its use is also rapidly increasing in biomedical research and healthcare. This applies to all dimensions of cancer research - a place where the potential uses of AI are extremely broad. Within this issue, the following three areas can be distinguished:

• Artificial intelligence (AI), i.e., a computer that performs tasks commonly associated with human intelligence - reasoning and learning. To do this, an algorithm or code model is developed that tells the computer how to operate.
• Machine learning is a type of artificial intelligence that is not clearly programmed to perform a specific task. Instead, it can learn iteratively to make predictions or make decisions. The more data The model has more opportunities to process data, the better it will perform over time.
• Deep learning is a subcategory of machine learning that uses artificial neural networks modeled on the way the human brain processes information. They are designed to learn from huge data sets. A well-designed and well-trained model is capable of performing classification tasks and making predictions with high accuracy, sometimes exceeding expert human performance.

How does artificial intelligence work?

Artificial Intelligence is used to recognize patterns in large amounts of data, extract relationships between complex data characteristics, and identify data characteristics (including images) that the human brain cannot perceive. Its application has already yielded satisfactory results in radiology, where specialists use computers to quickly process images. This enables radiologists to focus on technical evaluation.

These include the detection and diagnosis of cancer, the classification of subtypes, the optimization of cancer treatment, and the identification of new therapeutic targets for drug discovery. The big data used to train machine learning models is already in the making. However, there are still some obstacles to overcome to harness the full spectrum of possibilities that AI offers in relation to cancer research.

What are the benefits of using artificial intelligence?

Artificial intelligence has permeated our lives and its use is growing rapidly in biomedical research and healthcare - including all dimensions of cancer research, where the potential applications of AI are enormous.

Institutions

Both medical facilities and research institutions can benefit greatly from the use of artificial intelligence. This applies not only to research projects, but also to everyday functioning. This technology allows for improved collaboration between doctors and increased efficiency (as a result of greater detectability in a shorter time). The changes relate primarily to the improvement of the quality of services through faster and more accurate diagnosis and improvement of patient outcomes thanks to the implementation of personalized therapies. Ultimately, the big advantage of using artificial intelligence in medical facilities is savings - the duration of the patient's stay is reduced and the use of resources necessary for treatment is minimized. Additionally, artificial intelligence can be helpful in reducing the risk of professional burnout. Technology relieves them of repetitive and monotonous activities.

Specialists

Supporting the work of specialists with artificial intelligence may result in their more efficient work, resulting from the possibility of diagnosing more patients in a shorter time. Description by means of systematized attributes, such as size, location and morphology, allows for more efficient distribution of data between systems. Data from examinations such as CT, MR, or PET can be properly sorted using qualitative and quantitative features. As a result, thanks to artificial intelligence, it is possible to exchange information and knowledge between specialists themselves. The obtained data can be properly processed, and the result of these actions is manifested in the improvement of the accuracy of diagnostics. Specialists who use artificial intelligence gain free time that can be used to carry out more complex tasks or simply to rest.

Patients

Artificial intelligence can also benefit patients. The data collected and processed by it can be a way to gain insight into statistics. The use of this technology by specialists and medical institutions allows patients to obtain test results and diagnosis faster. Moreover, the ability to quickly learn systems using this technology makes the result more precise with each subsequent analysis. Artificial intelligence allows the implementation of personalized therapies individually tailored to each therapy. This way the healing process becomes more effective. In addition, it allows you to create simulations that can be created on the basis of data from around the world. They allow for the creation of various scenarios and thus limiting the extent or complete elimination of surgical procedures.

Summary

The integration of artificial intelligence technologies in cancer care can improve the accuracy and speed of diagnosis, support clinical decision-making, and lead to better health outcomes. AI-driven clinical care can play an important role in reducing health gaps, especially in low-resource environments.