Latest AI and machine learning research in pediatrics for healthcare professionals.
Background: The urgent care departments in Europe face a structural paradox: accelerating digitalisa...
The rapid growth of generative AI has introduced new challenges in content moderation and digital fo...
Image-to-video (I2V) generation has the potential for societal harm because it enables the unauthori...
Brain development follows a precisely regulated biological timetable, with defined periods of vulner...
Background: Extrauterine growth restriction (EUGR) is a common and clinically significant complicati...
During the COVID-19 pandemic, reported incidence data played a central role in public health surveil...
Neonates requiring intensive care are at increased risk for long-term neuropsychiatric disorders. Ho...
Healthcare system performance evaluation is constrained by episodic performance indicators and proce...
Adolescent major depressive disorder (AMDD) is a prevalent and heterogeneous psychiatric condition t...
Deep learning (DL) models have achieved strong performance in an intelligence healthcare setting, ye...
Background: The advancement of single cell technologies has driven significant progress in construct...
Reliable machine-learning models in biomedical settings depend on accurate labels, yet annotating bi...
Background: Artificial intelligence (AI) has rapidly garnered interest in healthcare, with research ...
Pediatric bipolar disorder is challenging to diagnose accurately due to symptom heterogeneity. More ...
Background Narcolepsy is a rare, lifelong neurological disorder that often begins in childhood or ad...
Virtually every sector of society is experiencing a dramatic growth in the volume of unstructured te...
Single-cell omics has extended the biological interrogation of cell state from examining the express...
Importance: People living with rare diseases (PLWRD) often face significant challenges in receiving ...
Early detection of atypical cognitive-motor development is critical for timely intervention, yet tra...
Introduction: Timely, protocol-adherent clinical decisions are crucial for reducing neonatal mortali...
Systems powered by large language models are widely used for health information and advice, yet robu...