Latest AI and machine learning research in pneumonia for healthcare professionals.
Viral diseases pose a serious threat to global public health, agriculture, and biosecurity. Conventional antiviral strategies are often limited by an incomplete understanding of disease mechanisms, poor targeting precision, and slow response times. Emerging technologies are now reshaping the landscape of antiviral research. This review examines the roles of four key frontiers, including organoid m...
Foundation models are widely used for compressing complex data into vector embeddings (vembs), offering reduced storage and computational efficiency, and significant improvements in diagnostic accuracy, automation, and efficiency in medical imaging. However, concerns remain that these vembs may encode demographic features, which could provide a pathway for bias in AI models in medical imaging. Thi...
BACKGROUND: Herpes zoster vaccination is recommended for U.S. adults aged 50 years and older, yet many remain unvaccinated. Prior National Health Inte...
Excessive reliance on validation performance during model selection can lead to validation overfitting (VO), where models appear effective during deve...
Medical phrase grounding (MPG) maps textual descriptions of radiological findings to corresponding image regions. These grounded reports are easier to...
Microbial communities serve as metabolic engines that determine the flavor and bioactivity of traditional fermented foods. Nonetheless, the stochastic...
BACKGROUND: The global rise of K-pop has shaped youth culture and online communities, particularly through BTS, a South Korean boy band with an intern...
BACKGROUND: Early management decisions after intubation, such as humidification strategy or initiation of prevention bundles for ventilator-associated...
BACKGROUND AND AIMS: N-terminal pro-B-type natriuretic peptide (NT-proBNP) is recommended to guide echocardiography referral in community-based patien...
Microphysiological immune-on-chip systems have emerged as transformative biomedical microdevices capable of recreating the structural, biochemical, an...
BACKGROUND: Ghana's imaging services face rising demand, uneven digital infrastructure, and limited access to advanced modalities. Artificial intellig...
Childhood visual impairment and blindness remain major public health concerns in low- and middle-income countries (LMICs), despite a substantial propo...
Electronic waste (E-waste), the fastest-growing solid waste stream, is projected to reach 82 million metric tons globally by 2030. E-waste plastics ar...
The global emergence of monkeypox virus (MPXV) has created an urgent need for effective vaccines that induce robust immune responses. Here, we report ...
Vaccination remains among the most effective public health interventions, but its impact increasingly depends on public trust and a reliable informati...
BACKGROUND: Traditional morbidity and mortality (M&M) conferences incompletely capture postoperative complications, potentially limiting quality impro...
Defined microbial communities (DMCs; also known as SynComs) offer a promising strategy to enhance plant growth and stress tolerance by harnessing bene...
Cancer vaccines are emerging as a promising approach in immuno-oncology, with the potential to generate tumour-specific and long-lasting immune respon...
Globally, 340 million people have blindness or moderate-to-severe visual impairment (BVI), which limits independent outdoor navigation and negatively ...
BACKGROUND: Plastic, Reconstructive, and Aesthetic Surgery (PRAS) faces domain erosion from adjacent specialties and jurisdictional competition. To ma...