The success of deep-learning algorithms in analyzing complex structured and unstructured multidimensional data has caused an exponential increase in the amount of research devoted to the applications of artificial intelligence (AI) in medicine in the past decade. Public release of large language models like ChatGPT the past year has generated an unprecedented storm of excitement and rumors of machine intelligence finally reaching or even surpassing human capability in detecting meaningful signals in complex multivariate data. Such enthusiasm, however, is met with an equal degree of both skepticism and fear over the social, legal, and moral implications of such powerful technology with relatively little safeguards or regulations on its development.
View Article and Find Full Text PDFWe report the case of a patient who presented to the emergency department with a history suspicious for penile fracture without typical physical exam findings. A small penile fracture was present on MRI, but the diagnosis was missed, and surgery was withheld owing to this misinformation. Despite its technical accuracy, MRI may be impractical for the diagnosis of penile fracture in the emergency setting.
View Article and Find Full Text PDFIn this study, we describe the association between Duchenne muscular dystrophy (DMD) and symptomatic nephrolithiasis. The DMD patients were matched to non-ambulatory control patients with non-DMD neurological diagnoses via retrospective chart review. All patients with DMD and symptomatic nephrolithiasis were over 20 years old.
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