Brazilian journal of otorhinolaryngology
Apr 28, 2026
OBJECTIVES: Diagnosis of cochlear malformation on temporal bone CT images is often difficult because the imaging findings are frequently subtle. Our aim was to assess the utility of deep learning analysis in diagnosing cochlear malformation on tempor... read more
The global escalation of antibiotic resistance has renewed interest in antimicrobial peptides (AMPs) as promising alternatives to conventional antibiotics. Although extensive experimental evidence supports their effectiveness against drug-resistant p... read more
Intensive human activities have fundamentally altered the spatial configuration of terrestrial ecosystems. These changes disrupt carbon cycles and diminish terrestrial carbon sinks, thereby exacerbating climate change and challenging China's dual car... read more
The environmental effect of foreign direct investment is a much-discussed topic. Nevertheless, how foreign direct investment's country of origin can affect is a topic of salience for international business managers, policymakers, and researchers. Thu... read more
The growing threats of natural disasters influence human migration at various spatio-temporal scales. This study examines how the four major disaster types (i.e., floods, hurricanes, wildfires, and tornadoes) relate to human migration in the contiguo... read more
To construct and validate an intelligent evaluation model for online English writing that integrates language proficiency, cognitive strategies, and technology interaction. A three-level indicator system was developed using the Delphi method. Analyti... read more
OBJECTIVE: To found out how employees interpret their roles and adjust their work in artificial intelligence (AI)-enabled contexts, this research examines the relationships between AI usage, employee self-perceptions, and job crafting, as well as the... read more
RATIONALE AND OBJECTIVES: This study aimed to quantitatively characterize the heterogeneity of Transrectal ultrasound (TRUS)-visible lesions using subregional imaging analysis, and to develop and validate an intratumoral heterogeneity (ITH) model for... read more
BACKGROUND: Artificial intelligence (AI) is increasingly applied in endourology to enhance surgical planning, risk stratification, and outcome prediction. This systematic review evaluates AI-labelled prediction models predicting treatment-related out... read more
BACKGROUND: Postoperative delirium (POD) is a common and serious complication in older surgical patients, associated with increased morbidity, prolonged hospitalisation and increased healthcare costs. Existing predictive models have limited clinical ... read more
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