Assessment of final-year medical students’ performance in diagnosing critical findings on chest X-ray

[1] Hardy M(2013)The impact of immediate reporting on interpretive discrepancies and patient referral pathways within the emergency department: a randomised controlled trial Br J Radiol. 86 20120112-278

[2] Snaith B(2020)Deep-learning framework to detect lung abnormality – a study with chest X-ray and lung CT scan images Pattern Recognit Lett. 129 271-370

[3] Scally A(2019)Key challenges for delivering clinical impact with artificial intelligence BMC Med. 17 195-6

[4] Bhandary A(2020)Covid-19: medical students to be employed by NHS as part of epidemic response BMJ. 368 m1156-1505

[5] Prabhu GA(2020)Covid-19: medical students should not work outside their competency, says BMA BMJ. 368 m1197-162

[6] Rajinikanth V(2018)Radiology residents’ skill level in chest x-ray reading Diagn Interv Imaging. 99 361-465

[7] Thanaraj KP(2017)Survey of practitioners’ competency for diagnosis of acute diseases manifest on chest X-ray BMC Med Imaging. 17 1-220

[8] Satapathy SC(2019)Interpretation of basic clinical images: how are surgical residents performing compared to other trainees? J Surg Educ. 76 1500-352

[9] Robbins DE(2008)Training and assessment of CXR/basic radiology interpretation skills: results from the 2005 CDIM Survey Teach Learn Med. 20 157-271

[10] Shasky C(2006)Hegde A, Schneider RF. Competency in chest radiography. A comparison of medical students, residents, and fellows J Gen Intern Med. 21 460-1343

[1] Hardy M(2013)The impact of immediate reporting on interpretive discrepancies and patient referral pathways within the emergency department: a randomised controlled trial Br J Radiol. 86 20120112-278

[2] Snaith B(2020)Deep-learning framework to detect lung abnormality – a study with chest X-ray and lung CT scan images Pattern Recognit Lett. 129 271-370

[3] Scally A(2019)Key challenges for delivering clinical impact with artificial intelligence BMC Med. 17 195-6

[4] Bhandary A(2020)Covid-19: medical students to be employed by NHS as part of epidemic response BMJ. 368 m1156-1505

[5] Prabhu GA(2020)Covid-19: medical students should not work outside their competency, says BMA BMJ. 368 m1197-162

[6] Rajinikanth V(2018)Radiology residents’ skill level in chest x-ray reading Diagn Interv Imaging. 99 361-465

[7] Thanaraj KP(2017)Survey of practitioners’ competency for diagnosis of acute diseases manifest on chest X-ray BMC Med Imaging. 17 1-220

[8] Satapathy SC(2019)Interpretation of basic clinical images: how are surgical residents performing compared to other trainees? J Surg Educ. 76 1500-352

[9] Robbins DE(2008)Training and assessment of CXR/basic radiology interpretation skills: results from the 2005 CDIM Survey Teach Learn Med. 20 157-271

[10] Shasky C(2006)Hegde A, Schneider RF. Competency in chest radiography. A comparison of medical students, residents, and fellows J Gen Intern Med. 21 460-1343