‘Challenges and opportunities for imaging on a global scale’ special collection—introductory editorial

Challenges and opportunities for imaging on a global scale' special collection-introductory editorialGlobally, 4.5 billion people lack access to diagnostic imaging. 1 It is not uncommon that in low-and middle-income countries and, in fact, pockets in high-income countries, many rural clinics are equipped with machines but lack trained technologists as well as radiologists, cardiologists or other specialists to operate them.This is not merely a logistical shortcoming-it is a moral failure.The potential of medical imaging to alleviate suffering-through early detection, accurate diagnosis, and timely intervention-is useless if only confined to urban hubs or high-income countries.Global imaging inequality is further exacerbated by a tendency to over image in well-resourced centers, often for conditions that would be better addressed by preventative measures than costly imaging.Most imaging specialists working in a highincome setting would also acknowledge a significant proportion of their imaging workload is of doubtful clinical benefit to the patient, but performed for fear of litigation, questionable protocols, or as a means to expedite discharge from the emergency department. [2]3][4] Rebalancing radiology resources may confront some of us with the need to consider doing less imaging, not more. [5]][7][8] Encouragingly, some solutions are already within reach:

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Publication Details

Journal
BJR|Open
Published
2025-09-25
DOI
https://doi.org/10.1093/bjro/tzaf023
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

‘Challenges and opportunities for imaging on a global scale’ special collection—introductory editorial

Erasmo de la Peña-Almaguer, Sarah Sheard, Ntobeko Ntusi, Michael R. Jackson et al.
BJR|Open
Radiomics and Machine Learning in Medical Imaging
article

‘Challenges and opportunities for imaging on a global scale’ special collection—introductory editorial

Erasmo de la Peña-Almaguer, Sarah Sheard, Ntobeko Ntusi, Michael R. Jackson, Sonal Krishan
article en

Abstract

Challenges and opportunities for imaging on a global scale' special collection-introductory editorialGlobally, 4.5 billion people lack access to diagnostic imaging. 1 It is not uncommon that in low-and middle-income countries and, in fact, pockets in high-income countries, many rural clinics are equipped with machines but lack trained technologists as well as radiologists, cardiologists or other specialists to operate them.This is not merely a logistical shortcoming-it is a moral failure.The potential of medical imaging to alleviate suffering-through early detection, accurate diagnosis, and timely intervention-is useless if only confined to urban hubs or high-income countries.Global imaging inequality is further exacerbated by a tendency to over image in well-resourced centers, often for conditions that would be better addressed by preventative measures than costly imaging.Most imaging specialists working in a highincome setting would also acknowledge a significant proportion of their imaging workload is of doubtful clinical benefit to the patient, but performed for fear of litigation, questionable protocols, or as a means to expedite discharge from the emergency department. [2]3][4] Rebalancing radiology resources may confront some of us with the need to consider doing less imaging, not more. [5]][7][8] Encouragingly, some solutions are already within reach:

BJR|OpenVol. 8(1)
South African Medical Research Council (ZA), Medanta The Medicity (IN), Imperial College Healthcare NHS Trust (GB), Royal Hospital for Children (GB), Royal Edinburgh Hospital (GB), Hospital Zambrano Hellion (MX), Medanta The Medicity (IN), Tecnológico de Monterrey (MX)
Openalex Percentile: Top 61%
Radiomics and Machine Learning in Medical Imaging
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