چکیده:
Artificial Intelligence (AI), as a transformative technology, plays a key role in the transformation of the field of diagnosis and treatment of diseases. By using advanced machine learning algorithms and processing medical data, artificial intelligence is able to significantly increase diagnostic accuracy, reduce human errors, and enable early identification of complex diseases such as cancer, Alzheimer's, and eye disorders. Successful examples, such as diagnosing breast cancer with higher accuracy than radiologists and predicting the progression of neurological diseases through MRI images, are evidence of this capability. This review article considers the areas where artificial intelligence has been employed for the diagnosis and treatment of diseases. This article shows how artificial intelligence can increase diagnostic accuracy, personalize treatments, and reduce human errors; however, challenges such as ethical issues, algorithmic transparency, data bias, and the need for acceptance by the medical community still exist. In addition, artificial intelligence has been effective in personalizing treatments, long-term monitoring of patients, and improving clinical decision-making processes. In the future, artificial intelligence will act not as a replacement for physicians, but as an intelligent assistant alongside them. To fully exploit this technology, collaboration between specialists in various fields, development of regulatory standards, and focus on model interpretability are essential.
خلاصه ماشینی:
Artificial Intelligence and Radiology The advanced diagnostic accuracy of AI systems, especially in radiology, has demonstrated superior performance in pattern recognition and often identifies early signs of disease that might be overlooked by the human eye.
Of course, we all know that artificial intelligence systems will not replace human physicians on a large scale in the field of diagnosis and treatment of diseases, but rather they will collaborate with them in diagnosing and treating diseases.
Therefore, it is unlikely that anyone in the future will oppose the use of artificial intelligence as a medical assistant in the diagnosis and treatment of diseases (Karimpirhayati, 2021:10).
Artificial intelligence can be used for diagnosing diseases, developing personalized treatment plans, and assisting physicians in decision-making.
Application of Artificial Intelligence in the Diagnosis and Treatment of Diseases Sophia Armon1, Elnaz Hamedi*2, Neda Abedinejad3, Arefeh Rafiee Jozam4, Mahsa Nornia5 1- Undergraduate student of Microbiology Department, Sirjan Branch, Islamic Azad University, Sirjan, Iran sophiaarmn@gmail.
By using advanced machine learning algorithms and medical data processing, artificial intelligence is able to significantly increase diagnostic accuracy, reduce human errors, and enable early identification of complex diseases such as cancer, Alzheimer's, and eye disorders.
This article shows how artificial intelligence can increase diagnostic accuracy, personalize treatments, and reduce human errors; however, challenges such as ethical issues, algorithmic transparency, data bias, and the need for acceptance by the medical community still exist.
Artificial intelligence offers significant advancements in this field, increasing diagnostic accuracy, reducing human error, and enabling early disease detection by analyzing vast amounts of complex data (Akhtar, 2025:2).
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