Latest AI and machine learning research in pediatrics for healthcare professionals.
Medical image segmentation has greatly aided medical diagnosis, with U-Net based architectures and nnU-Net providing state-of-the-art performance. There have been numerous general promptable models and medical variations introduced in recent years, but there is currently a lack of evaluation and comparison of these models across a variety of prompt qualities on a common medical dataset. This res...
Surgical training remains a crucial milestone in modern medicine, with procedures such as laminectomy exemplifying the high risks involved. Laminectomy drilling requires precise manual control to mill bony tissue while preserving spinal segment integrity and avoiding breaches in the dura: the protective membrane surrounding the spinal cord. Despite unintended tears occurring in up to 11.3% of ca...
Neural Cellular Automata (NCAs) are a promising new approach to model self-organizing processes, with potential applications in life science. Howeve...
The rapid growth of web content has led to increasingly large webpages, posing significant challenges for Internet affordability, especially in deve...
In this work, we reflect on the data-driven modeling paradigm that is gaining ground in AI-driven automation of patient care. We argue that the repu...
BACKGROUND: In the context of escalating global mental health challenges, adolescent suicide has become a critical public health concern. In current c...
Digital health interventions offer promise for scalable and accessible health care, but access is still limited by some participatory challenges, espe...
BACKGROUND: Clubfoot is a congenital foot deformity treated primarily by the Ponseti method. Despite its effectiveness, challenges such as delayed tre...
Non-suicidal self-injury (NSSI) in adolescent girls is a critical predictor of subsequent depression and suicide risk, yet current tools lack both acc...
Self-supervised learning (SSL) has achieved major advances in natural images and video understanding, but challenges remain in domains like echocard...
BACKGROUND: The exponential growth of digital technologies and the ubiquity of social media platforms have led to unprecedented mental health challeng...
Following the successful paradigm shift of large language models, leveraging pre-training on a massive corpus of data and fine-tuning on different d...
Magnetic resonance imaging of fetal and neonatal brains reveals rapid neurodevelopment marked by substantial anatomical changes unfolding within day...
Humanoid teleoperation plays a vital role in demonstrating and collecting data for complex humanoid-scene interactions. However, current teleoperati...
Abdominal aortic aneurysms (AAAs) are progressive focal dilatations of the abdominal aorta. AAAs may rupture, with a survival rate of only 20\%. Cur...
Accurate segmentation of anatomical structures in the apical four-chamber (A4C) view of fetal echocardiography is essential for early diagnosis and ...
Diagnosing bovine brucellosis is a major challenge due to its significant economic impact, causing losses in meat and dairy production and its potenti...
Automated driving (AD) has substantially improved vehicle safety and driving comfort, but their impact on passenger well-being, particularly infant ...
The rising prevalence of chronic wounds, especially in aging populations, presents a significant healthcare challenge due to prolonged hospitalizati...
Medical image segmentation is a critical task in computer vision, with UNet serving as a milestone architecture. The typical component of UNet famil...