Artificial Intelligence in Health and Applications

Introduction

One of the reasons why artificial intelligence and machine learning applications are becoming popular today is big data. In recent years, topics such as big data analysis, medical imaging, medical record, the pharmaceutical industry, robot applications, early diagnosis, and treatment, ensuring error-free application, and preventing unnecessary treatments come to the fore in artificial intelligence applications in health.

In the prediction, diagnosis, and treatment processes of diseases, artificial intelligence applications that will help healthcare professionals make decisions are greatly utilized. In addition, the excessive growth in digital health data has increased the need for artificial intelligence studies. The most important process that accelerated this need was experienced with the COVID-19 pandemic. Artificial intelligence is an important technology of the fourth industrial revolution to overcome the current global health crisis and be prepared for new pandemics (El-Sherif et al., 2020).

Despite the advantages of artificial intelligence applications, some factors hinder their development in the health sector. One of these factors is the barriers to the adoption of artificial intelligence applications. In a study conducted in German hospitals, it was determined that there is no awareness of these practices that are not used in routine work (Müller et al., 2021). There are uncertainties regarding the benefit it provides to patients. There is no clear understanding of why patients will need artificial intelligence or how Artificial intelligence can support patients with their health needs. In a study conducted in France, it was determined that public institutions and private sector managers agreed on the development of artificial intelligence applications in health services. In addition, it was emphasized that the opinions of the patients benefiting from these services should be taken about the practices (Laï et al., 2020).

In the future, artificial intelligence applications will have an important role in the health service delivery models that are renewed according to the health needs of the elderly population. In a study, it is stated that artificial intelligence applications developed cause age discrimination by excluding the elderly (Chu et al., 2022). As the role of medical technologies continues to grow, clinical medicine will be forced to grow. As in other industries, this challenge will create winners and losers in the healthcare industry. The determinant of the future of artificial intelligence in medicine will depend on how well the confidentiality and security of health data can be ensured.

The determinant of the future of artificial intelligence in medicine will depend on how well the privacy and security of health data can be ensured. The determinant of the future of artificial intelligence in medicine will depend on how well the confidentiality and security of health data can be ensured. Given the widespread problems of hacking and data breaches, there will be an increased need for algorithms that do not risk revealing details of a patient's medical history (Obermeyer & Emanuel, 2016). One of the factors affecting the development of artificial intelligence applications is ethical problems. This technology may cause ethical issues regarding patient safety and privacy. Defining the boundaries between the role of physicians and machines in ensuring patient safety and privacy is a question that needs to be answered (Rigby, 2019).