Latest AI and machine learning research in pediatrics for healthcare professionals.
Despite the growing research on users' perceptions of health AI, adolescents' perspectives remain underexplored. This study explores adolescents' perceived benefits and risks of health AI technologies in clinical and personal health settings. Employing Design Fiction, we conducted interviews with 16 adolescents (aged 13-17) using four fictional design scenarios that represent current and future ...
Clinical trials are crucial for assessing new treatments; however, recruitment challenges - such as limited awareness, complex eligibility criteria, and referral barriers - hinder their success. With the growth of online platforms, patients increasingly turn to social media and health communities for support, research, and advocacy, expanding recruitment pools and established enrollment pathways...
Methods to detect the emergence of infectious diseases, and approach to the "critical transition" RE = 1, have to potential to avert substantial dis...
Magnetic Resonance Imaging (MRI) can be a stressful experience for pediatric patients due to the loud acoustic environment, enclosed scanner bore, a...
Overdiagnosis in cancer care remains a significant concern, often resulting in unnecessary physical, emotional, and financial burdens on patients. Art...
LLM jailbreaks are a widespread safety challenge. Given this problem has not yet been tractable, we suggest targeting a key failure mechanism: the f...
The dead-in-bed syndrome describes the sudden and unexplained death of young individuals with Type 1 Diabetes (T1D) without prior long-term complica...
The rapid growth of social media has led to the widespread dissemination of fake news across multiple content forms, including text, images, audio, ...
The rapid growth of social media has led to the widespread dissemination of fake news across multiple content forms, including text, images, audio, ...
Reliable artificial intelligence (AI) models for medical image analysis often depend on large and diverse labeled datasets. Federated learning (FL) ...
Opioid use disorder (OUD) is a leading health problem that affects individual well-being as well as general public health. Due to a variety of reaso...
This study developed an accurate artificial intelligence model for predicting future height in children and adolescents using anthropometric and bod...
In genome-scale constraint-based metabolic models, gene deletion strategies are crucial for achieving growth-coupled production, where cell growth a...
Human pose estimation is a critical tool across a variety of healthcare applications. Despite significant progress in pose estimation algorithms tar...
BACKGROUND AND AIM: Intestinal ultrasound (IUS) potentially spares patients from repeated endoscopies under sedation and eliminates the need for alter...
The growing threat posed by deepfake videos, capable of manipulating realities and disseminating misinformation, drives the urgent need for effectiv...
Developing computer vision-based rice phenotyping techniques is crucial for precision field management and accelerating breeding, thereby continuous...
Early and accurate assessment of brain microstructure using diffusion Magnetic Resonance Imaging (dMRI) is crucial for identifying neurodevelopmenta...
Traditional causal connectivity methods in task-based and resting-state functional magnetic resonance imaging (fMRI) face challenges in accurately c...
Epigenetics encompasses mechanisms that can alter the expression of genes without changing the underlying genetic sequence. The epigenetic regulatio...