If approved, upadacitinib is expected to be the first systemic medication for patients with non-segmental vitiligo, addressing important treatment needs ...
Experts have offered more evidence backing their 2019 claim that Simonetta Vespucci, the model in Boticelli's 'Birth of Venus ...
Tuberculosis (TB) in children remains a significant yet often under-recognized public health challenge. Despite global ...
Introduction People diagnosed with tuberculosis (TB) after death (postmortem) experience the ultimate diagnostic delay. We ...
For centuries, Simonetta's sudden death at 23 was blamed on tuberculosis. Now researchers using AI facial analysis and ...
Last year, a colleague forwarded me an AI-generated patient summary. The chief complaint was fever, fatigue, and night sweats. The AI's differential diagnosis led with lymphoma and tuberculosis — both ...
Abstract: We demonstrate that Domain Invariant Feature Learning (DIFL) can improve the out-of-domain generalizability of a deep learning Tuberculosis (TB) screening algorithm. It is well known that ...
Health and social services minister Esperance Luvindao says the government is missing an estimated 34% of tuberculosis (TB) cases in Namibia, leaving many infected people undiagnosed and outside the ...
Artificial Intelligence in healthcare should be judged by its impact on people’s lives and its ability to reduce inequities, not merely by technological sophistication, Union Minister of State for ...
Introduction In 2022, the WHO conditionally recommended the use of treatment decision algorithms (TDAs) for treatment decision-making in children <10 years with presumptive tuberculosis (TB), aiming ...
Introduction The substantial case detection gap in the field of child tuberculosis (TB) disease is largely driven by inadequate diagnostic tools and approaches. Chest radiographs (CXRs) remain a key ...
Abstract: The lesions of tuberculosis (TB) in X-ray images are highly complex, exhibiting a variety of sizes, shapes, and structural variations. Single-scale features are insufficient to fully ...
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