Post-kidney transplant rejection is a critical factor influencing transplant success rates and the survival of transplanted organs. With the rapid advancement of artificial intelligence technologies, machine learning (ML) has emerged as a powerful da... read more
Artificial intelligence (AI) is increasingly recognized as a transformative force in the field of solid organ transplantation. From enhancing donor-recipient matching to predicting clinical risks and tailoring immunosuppressive therapy, AI has the po... read more
Liver transplantation (LT) remains the optimal life-saving intervention for patients with end-stage liver disease. Despite the recent advances in LT several barriers, including organ allocation, donor-recipient matching, and patient education, persis... read more
BACKGROUND: The tumour-stroma ratio (TSR) is a potential prognostic indicator, yet hindered by quantification challenges and conflicting reports. OBJECTIVE: To determine whether TSR follows a non-linear prognostic pattern and to develop an artificial... read more
Children today, in 2026, are growing up in a world that feels busy, fast and sometimes overwhelming. This raises questions: is the world too chaotic, are children and young people not resilient enough or could it be that our support systems have not ... read more
OBJECTIVES: The overwhelmed situation under the COVID-19 pandemic has worsened the quality of emergency medical care and the mortality rate due to out-of-hospital cardiac arrest (OHCA). However, there has been no research conducted for the validation... read more
BACKGROUND: Otitis media (OM) is a common pediatric infection worldwide. Conventionally, accurate diagnosis depends on in-person pneumatic otoscopy, which is not always accessible, contributing to delayed care and inappropriate prescribing, especiall... read more
This piece defends that the Zhuangzian philosophy can help mitigate paternalism and bias in medical artificial intelligence. Zhuangzian philosophy, by claiming that our knowledge is limited, requiring that we incorporate different views to enrich our... read more
OBJECTIVE: Show that a basic unsupervised machine learning (ML) algorithm can give information on the direction of child and infant reactions to sound using non-identifiable video-recorded facial features. DESIGN: Infants and toddlers were presented ... read more
Journal of voice : official journal of the Voice Foundation
Mar 18, 2026
A powerful tool for communication, emotion, and artistic expression, the human voice plays a vital role in human interaction. However, approximately 25% of individuals globally experience voice disorders, often due to occupational strain, leading to ... read more
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