Introduction
Medicine and care are two of the most critical work areas, and human abilities are limited despite many years of development. However, artificial intelligence (AI) has the potential to revolutionize the industry by providing efficient and accurate diagnostics on which doctor-prescribed treatment and prevention can be based. The main elements of AI are genetic algorithms, neural networks, and expert systems, which can assist in solving medical problems.
Expert Systems and Their Role in Medical Diagnostics
Expert systems are programs that can simulate human actions based on the knowledge inherent in their profession. An example of such a system that fulfills these responsibilities is MYCIN, which was developed to diagnose bacterial infections (Saiful & Nur, 2020). Another medical case in which AI is used is neural networks such as IBM Watson for Oncology, which uses data from an electronic medical record to choose the optimal cancer treatment (Baltzan & Philips, 2022). One example of genetic algorithms is GeneFAS, which calculates the optimal dose of chemotherapy drugs (Suo et al., 2021). They can be used to optimize patient treatment by identifying positive and negative aspects of treatment.
Neural Networks and Their Application in Medical Imaging
AI systems are actively used in the field of medicine in modern times. One such tool is IBM Watson for Oncology, which uses evidence-based information to provide effective treatment plans and suitable medications for cancer patients (Baltzan & Philips, 2022). The system analyzes the medical history, current symptoms, existing medical recommendations, and the environment to make optimal decisions. This tool is currently being used in several hospitals worldwide to improve the quality of care. The learning from this course can make me more productive by using AI and its algorithms to analyze information. This will save a lot of time, resulting in more patients served.
Conclusion
In conclusion, AI methods in the medical sector are an essential complementary tool that can facilitate the work of doctors. They can work effectively to make sound, evidence-based decisions that save significant time and allow faster action on the disease. Moreover, AI can search for the necessary information in large amounts of information that can be time-consuming for a person. Thus, the positive impact of this tool on medicine is due to the help provided by AI algorithms.
References
Baltzan, P. & Philips, A. (2022). Business Driven Technology, 8th ed. McGraw-Hill.
Saiful, M., & Nur, A. M. (2020). Application of Expert System with Web-Based Forward Chaining Method in Diagnosing Corn Plant Disease. In Journal of Physics: Conference Series (Vol. 1539, No. 1, p. 012019). IOP Publishing. Web.
Suo, C., Chen, H., Binczyk, F., Zhao, R., Fan, J., Yang, X., Yuan, Z., Kreil, D., Labaj, P., Zhang, T., Lu, M., Jin, L., Polanska, J., Chen, X. & Ye, W. (2021). Tumor infiltrating lymphocyte signature is associated with single nucleotide polymorphisms and predicts survival in esophageal squamous cell carcinoma patients. Aging (Albany NY), 13(7), 10369. Web.