Arjun K.

Indian Journal of Critical Care Medicine. (2023)

Teleradiology services in ICU has a great potential to improve outcomes for critically ill patients by providing rapid, remote access to radiological expertise, enabling timely diagnoses and treatment decisions, crucial for critically ill patients. Setting up teleradiology service in ICUs also helps to ease the challenges of geographic and nocturnal coverage, to maintain adequate off-hour and specialist coverage to quickly provide round the clock, high-quality interpretations. To know more, do read the article….

The Lancet Regional Health – Southeast Asia (2023)

There is an inequitable distribution of radiology facilities in India. This scoping review aimed at mapping the available technology instruments to improve access to imaging at primary health care; to identify the facilitators and barriers, and the knowledge gaps for widespread adaptation of technology solutions. To learn more, click the below link.

International Journal of Health Technology and Innovation (2022)

Breast cancer is the most prevalent cancer in women, accounting for 13.5% of cancers in Indian women. Mammography is a diagnostic modality that allows early detection of breast cancer. In the setting of radiologist shortages, teleradiology is one method of ensuring that a large-scale mammography screening program is effectively supported by accurate radiologic diagnosis and made accessible to every woman whether in urban or rural locations in India. With the aim of promoting early diagnosis of breast cancer, Teleradiology Solutions, Bangalore, a teleradiology service provider collaborated with The Poornasudha Cancer Foundation, a registered non-profit organization. To learn more about the role of teleradiology in the early detection of breast cancer, read the article…

Academic Radiology(2020)

For a decade or more teleradiology has provided an eminently effective solution to the problem of radiologist shortages and burnout. However, the total number of radiologists, although well utilized, remains finite and relatively static or arithmetic in progression, yet the number of images being generated is more along the lines of geometric progression resulting in an overall mismatch, which in turn results in increased rates of radiologist fatigue and error. AI algorithms into a teleradiology workflow and practice allows for the effective leveraging of the true benefits of each in a manner that can simultaneously benefit large populations or public health initiatives.

Teleradiology and AI, going forward can be greatly synergistic in terms of their potential to achieve impact on healthcare delivery.
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