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Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
Loading articles data…
Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
6 articles
Newest firstTeledermatology expands access to dermatologic expertise in rural settings, yet diagnostic uncertainty persists in low-resource primary care. This retrospective study evaluated MedGemma-4B-IT, a compact multimodal vision-language model, as adjunctive clinical decision support for challenging diagnostic cases. We analyzed 77 zero-concordance cases (360 clinical photographs) from a Dermatology Extension for Communit…
Open article record in new tab ↗Background Obstructive jaundice is a common clinical condition requiring accurate imaging for prompt diagnosis and management. Ultrasonography (USG) is often the first-line modality, whereas magnetic resonance cholangiopancreatography (MRCP) offers non-invasive high-resolution visualization of the biliary and pancreatic ducts. This study aimed to compare the diagnostic accuracy of USG and MRCP in obstructive jaund…
BackgroundGlobally we face a projected shortage of 11 million healthcare practitioners by 2030, and administrative burden consumes 50% of clinical time. Artificial intelligence (AI) has the potential to help alleviate these problems. However, no end-to-end autonomous large language model (LLM)-based AI system has been rigorously evaluated in real-world clinical practice. In this study, we evaluated whether a multi…
Open article record in new tab ↗BackgroundGenerative Pre-trained Transformer 4 (GPT-4) has demonstrated strong performance in standardized medical examinations but has limitations in real-world clinical settings. The newly released multimodal GPT-4o model, which integrates text and image inputs to enhance diagnostic capabilities, and the multimodal o1 model, which incorporates advanced reasoning, may address these limitations. ObjectiveThis stud…
Open article record in new tab ↗BackgroundAdvanced HIV disease (AHD), defined as a CD4 count below 200 cells/mm3 or the presence of WHO Stage 3 or 4 clinical conditions, poses significant diagnostic challenges in resource-limited settings such as Zambia. Early identification of AHD is essential for improving outcomes for recipients of care (ROCs). The VISITECT(R) CD4 test, a point-of-care tool, offers potential for addressing these challenges; h…
BackgroundPneumonia is a leading cause of death among children under 5 years in low- and-middle-income-countries (LMICs), causing an estimated 700,000 deaths annually. This burden is compounded by limited diagnostic imaging expertise. Artificial intelligence (AI) has potential to improve pneumonia diagnosis from chest radiographs (CXRs) through enhanced accuracy and faster diagnostic time. However, most AI models…