Arjun K.

Indian Journal of Nuclear Medicine (2025)

Cancer is a prime cause of death globally and accounted for about 10 million deaths in 2020. The early-stage diagnosis of cancer before it has progressed or metastasized is crucial for the immediate treatment conceptualization and plan and improves the prognosis for long-term survival of the patient. Teleradiology is an important tool in the field of oncology, providing rapid and accurate interpretation of imaging findings, essential for appropriate treatment planning. The aim of the present study was to assess the role of teleradiology in the oncological interpretation of positron emission tomography–computed tomography (PET-CT) scans. To get through the details, please click the below link….

Journal of Clinical Interventional Radiology ISVIR(2025)

Aortic dissection is an acute emergency affecting the aorta with a mortality of 50% in the first 48 hours of onset. The clinical outcome is determined by the type and extent of dissection, and its associated complications. Thus, knowledge of computed tomography (CT) angiography imaging features of aortic dissection and its complications, coupled with a process for immediate interpretation such as teleradiology, is essential for early diagnosis and treatment.To read more, click on below link…

European Society of Medicine(2025)

Teleradiology services provides access to healthcare services by allowing radiologists to interpret medical images remotely particularly in rural or underserved regions, while enabling faster diagnostics and treatment. In the last twenty years, the increased internet penetration and digital infrastructure, technological advancements such as Radiology Information System, Picture Archiving and Communication Systems and application of deep learning algorithms in imaging technology has resulted in the significant growth in this field but has also engendered a significant cybersecurity concern.

Academia Medicine(2025)

Artificial intelligence (AI) is transforming the field of radiology. Among various radiologic subspecialties, thoracic imaging has seen a significant rise in demand due to the global increase in heart, vascular, lung, and thoracic diseases such as lung cancer, pneumonia, pulmonary embolism, and cardiovascular diseases. AI promises to revolutionize radiologic diagnostics by enhancing detection, improving accuracy, and reducing the time required to interpret images.

National Library of Medicine(2025)

Teleradiology is an essential part of modern radiology practice. It enhances efficiencies in image interpretation by improving availability and accessibility of radiologists. Being at the crossroads of technology, diagnostic radiology, and complex workflows, teleradiology provides abundant opportunities for academic engagement and innovative workflows, and allows for research and publication encompassing these multiple facets.

International Journal of Health Technology and Innovation (2024)

A nationwide online survey was conducted to examine teleradiology utilization patterns in India and its impact on healthcare. The article explores the perceptions and attitudes of Indian radiologists toward this practice model. A total of 309 radiology professionals participated in the survey, with the vast majority reporting experience in utilizing or practicing teleradiology. Many respondents indicated the use of a dedicated teleradiology workflow. While teleradiology is widely adopted and viewed positively overall, certain concerns persist that require attention. To know details of survey results, read through the article. Click on the below link…

Medical Research Archives (2024)

Teleradiology has played an important role over the past two decades, but given the mismatch between the dramatically increased utilization of radiologic imaging and the relatively constant number of trained radiologists entering practice, additional solutions are necessary. Teleradiology and Artificial Intelligence have exceptional synergies from the perspective of both being technology enabled healthcare delivery mechanisms that address the same fundamental issue of radiologist shortages. These synergies lead to a multiplier effect in terms of Teleradiology enabling Artificial Intelligence algorithms to be deployed at scale globally over a short time frame to rapidly achieve greater impact than either solution can individually. This article will review the opportunities whereby Artificial Intelligence can further enhance Teleradiology practice, as well as explore the challenges that exist at this time that may potentially delay this process of integration. To read more, click on below link…