Cancer and Artificial Intelligence

21.03.2024

CANCER TREATMENT PROCESSES AND ARTIFICIAL INTELLIGENCE

Artificial intelligence is the ability of machines, especially computer systems, to imitate some functions of human intelligence. Artificial intelligence includes functions such as learning, problem solving, perception, language understanding and decision making.

It can be examined in two main categories:

Narrow AI: They are artificial intelligence systems that can imitate human intelligence in certain tasks, but otherwise have limited capabilities. This type of artificial intelligence is usually trained in a specific field and can carry out operations in that field. For example, a chess program may perform at a high level in the game of chess, but cannot be used in any other field.

General Artificial Intelligence: They are artificial intelligence systems that can imitate all aspects of human intelligence and learn, understand and make decisions like humans. This type of artificial intelligence is a goal that has not yet been fully realized.

One of the core areas of artificial intelligence is machine learning, where systems have the ability to learn and improve through data analysis. Deep learning is a sub branch of machine learning and involves the ability to process complex patterns and data through artificial neural networks. Artificial intelligence is used in a wide variety of fields, from healthcare to finance, education to transportation, and is becoming increasingly influential in more industries and many aspects of daily life. It plays an important role, especially with applications such as data analysis, automatic decision-making processes and smart assistants.

Image 1: Artificial intelligence is divided into two groups: narrow artificial intelligence and general artificial intelligence.

CANCER TREATMENT PROCESSES

Artificial intelligence can streamline the cancer treatment process in many ways. Artificial Intelligence technology can primarily improve early detection and diagnosis; By improving screening methods, it analyzes radiological images in depth and can detect signs of early stage cancer more quickly and accurately. This increases the chances of early intervention and significantly increases treatment success. Additionally, AI can develop personalized treatment plans by processing genetic and clinical data at scale. It allows determining treatment approaches specific to each patient and thus making the treatment more effective. Artificial intelligence also plays a critical role in monitoring the treatment process, constantly evaluating patients' responses to treatment and enabling rapid adjustments to treatment plans when necessary. In the drug development process, artificial intelligence can accelerate the discovery and development of more effective cancer drugs by analyzing potential drug components. Finally, artificial intelligence can be a significant aid in planning radiation and chemotherapy treatments, optimizing dosages and delivery methods. In short, artificial intelligence can both improve the quality of life of patients and increase treatment success rates by making the cancer treatment process more effective, faster and personalized.

Image 2: In the future, artificial intelligence will play a greater role not only in the cancer diagnosis process but also in the cancer treatment process.

Artificial intelligence can provide a number of important benefits in cancer treatment:

Early Detection and Diagnosis: Artificial intelligence can help early diagnosis by improving cancer screening processes. In particular, image recognition technologies can be used to detect signs of cancerous tissue in radiology images (MRI, mammography, CT scans, etc.). By analyzing such images, AI can detect even small details that human experts might miss.

Personalized Treatment Plans: Artificial intelligence can create personalized treatment plans for patients by processing large data sets such as genetic data analysis and patient medical history. It allows the development of more effective treatment approaches according to the individual needs of the patient and the characteristics of the cancer type.

Monitoring Treatment Responses: Artificial intelligence can monitor the progress of the treatment process and evaluate how patients are responding to treatment. This helps optimize the treatment process and make adjustments when necessary.

Drug Discovery and Development: Artificial intelligence can play an important role in the discovery and development of new cancer drugs. By analyzing potential drug compounds, we can accelerate the drug development process and contribute to the discovery of more effective treatment options.

Image 3: Today, artificial intelligence is actively used in cancer diagnosis and decision-making processes.

Radiation and Chemotherapy Planning: By optimizing the dosage and delivery of radiation and chemotherapy, AI can increase the effectiveness of these treatments and reduce their side effects.

Clinical Decision Support Systems: Artificial intelligence can support doctors' decision-making processes. It provides comprehensive information about treatment options, possible side effects and success rates, helping to make more informed decisions.

Artificial intelligence has the potential to revolutionize these and many other areas of cancer treatment. The effectiveness and use of Artificial Intelligence requires continuous research and development. To fully realize the potential of this technology, attention also needs to be paid to ethical and security issues.