Artificial Intelligence, Health and Education
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Abstract
Abstract
The field of Artificial Intelligence (AI) has gained significant interest recently due to increased public awareness of its potential as a pivotal instrument across a wide range of disciplines, including industry, telecommunications, engineering, health, and education. AI algorithms require careful consideration of the training process, which necessitates an amount of data that has been evaluated and, in some cases, curated by the developers themselves to generate accurate and efficient models. The influence of AI on various sectors, including healthcare and education, has been substantial.
In the domain of healthcare, algorithms have been developed that possess the capacity to detect and diagnose various medical anomalies. A notable illustration of this is its utilization in the early diagnosis of chronic diseases, such as cancer. In this context, the employment of machine learning models has been shown to exhibit a high degree of accuracy in the analysis of medical images, clinical histories, and physiological patterns. This, in turn, has the potential to enhance the quality of medical care and reduce response times.
Conversely, within the domain of education, AI has facilitated the development of customized teaching and evaluation systems that can adapt to the pace and learning style of each student. These technologies not only facilitate teaching in virtual environments, but also promote autonomous learning, strengthen student motivation, and provide immediate feedback, making the educational process more efficient.
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