Deploying artificial intelligence in the detection of adult appendicular and pelvic fractures in the Singapore emergency department after hours: efficacy, cost savings and non-monetary benefits.

INTRODUCTION: Radiology plays an integral role in fracture detection in the emergency department (ED). After hours, when there are fewer reporting radiologists, most radiographs are interpreted by ED physicians. A minority of these interpretations may miss diagnoses, which later require the callback of patients for further management. Artificial intelligence (AI) has been viewed as a potential solution to augment the shortage of radiologists after hours. We explored the efficacy of an AI solution in the detection of appendicular and pelvic fractures for adult radiographs performed after hours at a general hospital ED in Singapore, and estimated the potential monetary and non-monetary benefits. METHODS: One hundred and fifty anonymised abnormal radiographs were retrospectively collected and fed through an AI fracture detection solution. The radiographs were re-read by two radiologist reviewers and their consensus was established as the reference standard. Cases were stratified based on the concordance between the AI solution and the reviewers' findings. Discordant cases were further analysed based on the nature of the discrepancy into overcall and undercall subgroups. Statistical analysis was performed to evaluate the accuracy, sensitivity and inter-rater reliability of the AI solution. RESULTS: Ninety-two examinations were included in the final study radiograph set. The AI solution had a sensitivity of 98.9%, an accuracy of 85.9% and an almost perfect agreement with the reference standard. CONCLUSION: An AI fracture detection solution has similar sensitivity to human radiologists in the detection of fractures on ED appendicular and pelvic radiographs. Its implementation offers significant potential measurable cost, manpower and time savings.

A Rare Case of Acute Urinary Bladder Diverticulitis Mimicking Acute Appendicitis.

BACKGROUND Urinary bladder diverticula are common. They are typically asymptomatic and usually discovered incidentally. Urinary bladder diverticulitis, in contrast to colonic diverticulitis, is an extremely rare occurrence. CASE REPORT We describe a case of a 52-year-old man who presented with isolated urinary bladder diverticulitis mimicking acute appendicitis. Focal inflammation of a urinary bladder diverticulum along the right lateral urinary bladder wall caused right iliac fossa pain. Predominant findings of red blood cells in the urine were not dissimilar to per rectal bleeding seen with colonic diverticulitis. Cystoscopy and uroflow dynamic study revealed features of chronic urinary bladder outlet obstruction despite a computed tomography scan showing a minimally enlarged prostate gland and the patient reporting no lower urinary tract symptoms. CONCLUSIONS Urinary bladder diverticulitis is a very rare condition with poorly understood underlying etiology. Hematuria is possibly an important presentation correlating with the per rectal bleeding seen with colonic diverticulitis. Depending on its position relative to the urinary bladder wall, it can mimic other more common presentations. Follow-up investigations using cystoscopy and uroflow studies are useful to evaluate for findings associated with chronic urinary bladder outlet obstruction.