Latest AI and machine learning research in infectious disease for healthcare professionals.
The purpose was to examine how variations in AI output design affect radiologists' performance in interpreting chest X-rays. Eight readers interpreted 80 COVID-19 chest images under five AI conditions in this retrospective study: no feedback, one-word summary, graph, heatmap, and heatmap + graph. Reader accuracy and eye-tracking data were analyzed to assess diagnostic performance and efficiency. P...
BACKGROUND: Artificial intelligence-enabled patient decision aids (AI-PDAs) hold promise for supporting older adults with chronic diseases in accessing personalized health information, clarifying preferences, and engaging in shared decision-making. Achieving equity in their design requires attention to the complex health care and digital contexts in which these tools are used. While the Digital He...
BACKGROUND: Preexposure prophylaxis (PrEP) is a key biomedical HIV prevention strategy that relies heavily on adherence for optimal effectiveness. In ...
Antimicrobial peptides (AMPs), owing to their unique membrane-disrupting mechanism and low susceptibility to resistance, represent important candidate...
Antigenically diverse pathogens such as coronaviruses pose substantial global health threats, highlighting the need for broad-spectrum vaccines. Here,...
Frailty, a clinical syndrome of multisystem decline and homeostatic vulnerability, is a critical public health priority. While the gut microbiome regu...
Bacterial keratitis is a major cause of corneal blindness worldwide, with marked differences in clinical presentation and risk factors across regions....
BACKGROUND: Community-acquired pneumonia (CAP) is a leading cause of morbidity and mortality in children, particularly in low-income countries. Severe...
OBJECTIVES: This study aimed to systematically evaluate whether glycemic variability (GV) could provide independent incremental prognostic value for i...
BACKGROUND: The escalating threat of Plasmodium falciparum resistance to artemisinin-based therapies necessitates accelerated drug development. Drug r...
BACKGROUND: Prompt diagnosis of bloodstream infections (BSIs) is critical for antimicrobial stewardship but hindered by blood culture delays of 48Â h o...
COVID-19 is a highly contagious disease transmitted primarily through human contact. Therefore, understanding population mobility is essential for pre...
Gene therapy holds revolutionary potential for managing genetic disorders, cancers and infectious illnesses. However, one of the biggest challenges is...
Antifungal heteroresistance has emerged as a clinical challenge across diverse species. In Candida glabrata, however, it has rarely been reported. Her...
Antimicrobial resistance phenotype prediction (AMRPP) provides a computational alternative to conventional susceptibility testing. While most studies ...
Trypanosomatids, including the genera Trypanosoma and Leishmania, are protozoan parasites of significant medical and veterinary relevance. These organ...
OBJECTIVES: To propose an equity-by-design agenda for socially assistive robots (SARs) as embodied digital health informatics interventions. MATERIALS...
STUDY OBJECTIVES: Prenatal psychological distress is associated with adverse offspring outcomes, including infant sleep disturbances and altered gut m...
INTRODUCTION: Long COVID is a multisystem condition with challenging diagnosis. Nurse-navigation, a patient-centered intervention, can enhance educati...
Transarterial chemoembolization (TACE) is a cornerstone locoregional therapy for hepatocellular carcinoma (HCC), yet most candidates also have cirrhos...