Is Artificial Intelligence (AI) Effective in Diagnosing Diseases?

Alizadeh, Saeed; Moghadas Hosseinzadeh, Fazel; Vakilzadeh, Ghazal

doi:10.30491/ijtmgh.2024.463459.1418

Is Artificial Intelligence (AI) Effective in Diagnosing Diseases?

Document Type : Mini Review

Authors

Saeed Alizadeh ¹

Fazel Moghadas hosseinzadeh ¹

Ghazal vakilzadeh ²

¹ Applied Virology Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.

² Department of Pathobiology, Faculty of Veterinary, Science and Research Branch, Islamic Azad University, Tehran, Iran.

10.30491/ijtmgh.2024.463459.1418

Abstract

Artificial Intelligence (AI) has transformed the realm of disease diagnosis, providing unparalleled accuracy and efficiency. By utilizing sophisticated algorithms and extensive data sets, AI systems can uncover patterns that are imperceptible to the human eye. These systems enhance diagnostic precision, minimize human errors, and enable early identification of ailments, which is crucial for favorable treatment results. AI's capabilities span diverse medical imaging modalities like MRI, CT scans, and X-rays, aiding in the detection of abnormalities such as tumors or fractures. Furthermore, AI assists pathologists by scrutinizing tissue samples for disease indicators at a cellular level. The incorporation of AI into diagnostic procedures not only expedites decision-making but also individualizes patient care by predicting specific disease risks and proposing customized treatment strategies. As AI technology progresses, its potential to revolutionize healthcare and enhance patient outcomes becomes increasingly apparent. This article succinctly examines the role of artificial intelligence in disease diagnosis.

Keywords

Artificial Intelligence

Diagnostic

Diseases