| Artificial Intelligence in Telemedicine: Expanding Access to Healthcare |
| Paper ID : 1122-IGA |
| Authors |
|
Ahmad Shafizadeh * Faculty of Medicine, Tehran Medical Sciences Islamic Azad University, Tehran, Iran |
| Abstract |
| Background and Aim: During and after Covid-19 pandemic, telemedicine evolved as a critical component of modern healthcare to offer medical services remotely. Additionally, by emerging the integration of artificial intelligence (AI) and contribution of AI to telemedicine, access to healthcare, especially in underserved and remote areas, has been significantly expanded. This study aims to investigate the role of AI in enhancing telemedicine. Methods: A comprehensive literature review was conducted using key terms including “AI,” “telemedicine,” “remote healthcare,” “diagnostic tools,” and “healthcare accessibility.” Google Scholar, PubMed, Clarivate, ScienceDirect, and Scopus databases were used to review the peer-reviewed articles, case studies, and systematic reviews published over the past 15 years. Results: AI-driven telemedicine could enhance and improve the diagnostic accuracy, patient triage, and personalized treatment plans. Applications of different aspects of AI in telemedicine have increased effectiveness in remote monitoring, virtual consultations, and automated health assessments. Recent studies in developing communities also highlight how AI can address challenges such as the shortage of healthcare professionals and the need for timely medical interventions, particularly in rural and low-resource settings. Conclusion: AI contribution to telemedicine can significantly improve the quality of care and expanding access to healthcare services. By enabling more accurate and efficient remote diagnostics and patient management, AI-driven telemedicine can bridge gaps in healthcare delivery, particularly for populations with limited access to traditional healthcare services. However, challenges such as data privacy, algorithm bias, and the need for regulatory frameworks must be addressed to fully realize the potential of AI in telemedicine. |
| Keywords |
| Artificial intelligence, Telemedicine, Remote healthcare, Healthcare accessibility |
| Status: Accepted |
