The Role and Application of Artificial Intelligence in Improving Healthcare Service

Background: Artificial Intelligence (AI) refers to the simulation of human intelligence in machines and has witnessed significant advancements since the ۱۹۵۰s. In the healthcare sector, the primary goal of AI is to enhance physician decision-making and reduce human errors. Systems such as IBM Watson contribute to improving the quality of healthcare services by analyzing medical data and responding to clinical inquiries. Additionally, AI has numerous applications in the early diagnosis of diseases and medication management. This paper aims to explore the various applications of AI in health care, along with the challenges and opportunities that lie ahead in this domain. Our objective is to provide a comprehensive overview of the impacts of this technology on medical care and the enhancement of public health. Materials and Methods: This study was conducted as a systematic review based on the PRISMA protocol. A search for articles published between ۲۰۱۹ and ۲۰۲۴ was performed in databases such as PubMed, Scopus, and Web of Science. The keywords used included "Artificial Intelligence," "Diagnosis and Treatment," "Health," and "Medicine." Relevant articles were selected and analyzed to present the scientific evidence related to the application of AI in the healthcare sector. Results: Al in the healthcare sector can be categorized into two main types: physical and virtual. Virtual applications include deep learning techniques for analyzing electronic health records and processing medical images, which assist physicians in identifying hidden patterns in data and providing more accurate diagnoses. Conversely, physical applications encompass robotics in surgery and rehabilitation, enhancing the precision and efficiency of surgical procedures while accelerating patient recovery. One innovative approach to diagnosing chronic diseases involves the use of machine learning algorithms and image processing techniques, which have proven effective in predicting and treating conditions such as diabetes, hypertension, and kidney diseases. Furthermore, AI plays a crucial role in promoting the health of the elderly, improving the quality of medical imaging, predicting the effects of radiation therapy, and managing diseases related to the nervous system. These findings indicate that AI can significantly contribute to the improvement of medical care and the enhancement of patients' quality of life. Conclusion: Despite the remarkable benefits of AI in enhancing the quality of healthcare services, there are significant ethical and legal challenges that must be addressed. Issues such as data processing quality, patient privacy, and respect for individual autonomy are among these challenges. The implementation of AI in healthcare requires careful oversight and continuous evaluation to ensure that the technology is used responsibly and ethically. This approach not only aids in increasing the efficiency and accuracy of medical services but also minimizes ethical and legal concerns. Ultimately, achieving a balance between technological innovation and adherence to ethical principles is key to the successful application of AI in the healthcare sector.

Keywords:

Artificial Intelligence , Diagnosis and Treatment , Healthcare , Medicine