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http://dx.doi.org/10.1002/ijgo.16088 | DOI Listing |
Am J Case Rep
December 2024
Department of Pediatric Otolaryngology, Head and Neck Surgery, Chair of Pediatric Surgery, Medical University of Silesia (SUM), Katowice, Poland.
BACKGROUND Ranulas are typical causes of sublingual cysts in children. However, our case was histopathologically confirmed to be a dermoid cyst. Epidermoid and dermoid cysts of the floor of the mouth account for <0.
View Article and Find Full Text PDFNon-tuberculous Mycobacterial Pulmonary Disease (NTM-PD) is a chronic disease characterised by progressive inflammatory lung damage due to infection by non-tuberculous mycobacteria (NTM). Global prevalence of NTM-PD is generally low but is rising, likely due to a combination of increased surveillance, increasing multimorbidity and improved diagnostic techniques. Most disease is caused by Mycobacterium avium complex species.
View Article and Find Full Text PDFJ Med Case Rep
December 2024
Department of Surgery, Aga Khan University, Karachi, Pakistan.
Background: Kaposiform hemangioendothelioma is a rare vascular tumor primarily occurring in infants and children. The most common sites for kaposiform hemangioendothelioma are extremities, with very few cases of abdominal kaposiform hemangioendothelioma reported in neonates. Making a diagnosis of Kaposiform hemangioendothelioma can be challenging when the patient presents with generalized symptoms such as bilious vomiting and constipation that can be attributed to other more common causes of intestinal obstruction.
View Article and Find Full Text PDFPediatr Rheumatol Online J
December 2024
Kawasaki Disease Center, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.
Background: This study aims to develop Z-Score models to normalize measurements of three coronary arteries and enhance the diagnosis of Kawasaki disease (KD) in children from newborns to 10 years old. Developing a reliable Z-Score model is challenging, as some existing models fail the normality test. Overcoming these challenges is crucial for improving KD diagnosis.
View Article and Find Full Text PDFCommun Med (Lond)
December 2024
Shanghai Jiao Tong University, Shanghai, China.
Background: Medical Visual Question Answering (MedVQA) enhances diagnostic accuracy and healthcare delivery by leveraging artificial intelligence to interpret medical images. This study aims to redefine MedVQA as a generation task that mirrors human-machine interaction and to develop a model capable of integrating complex visual and textual information.
Methods: We constructed a large-scale medical visual-question answering dataset, PMC-VQA, containing 227,000 VQA pairs across 149,000 images that span various modalities and diseases.
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