The application of machine learning methods for predicting the progression of adolescent idiopathic scoliosis: a systematic review.

Predicting curve progression during the initial visit is pivotal in the disease management of patients with adolescent idiopathic scoliosis (AIS)-identifying patients at high risk of progression is essential for timely and proactive interventions. Both radiological and clinical factors have been investigated as predictors of curve progression. With the evolution of machine learning technologies, the integration of multidimensional information now enables precise predictions of curve progression.

Automated 3D Cobb Angle Measurement Using U-Net in CT Images of Preoperative Scoliosis Patients.

To propose a deep learning framework "SpineCurve-net" for automated measuring the 3D Cobb angles from computed tomography (CT) images of presurgical scoliosis patients. A total of 116 scoliosis patients were analyzed, divided into a training set of 89 patients (average age 32.4 ± 24.

The neural mechanisms of identifiable victim effect in prosocial decision-making.

The phenomenon known as the "identifiable victim effect" describes how individuals tend to offer more assistance to victims they can identify with than to those who are vague or abstract. The neural underpinnings of this effect, however, remain elusive. Our study utilized functional magnetic resonance imaging to delve into how the "identifiable victim effect" influences prosocial decision-making, considering different types of helping costs, across two distinct tasks.

Three stages of perceiving consecutively moral behaviors: Neurophysiological effect of agent and valence on the moral judgments.

The present study investigates how agents and the moral valence of the acts affect moral judgments when two consecutively behaviors are perceived, with each describing morally salient behaviors done by the same or different agent(s). Participants had to rate the likableness/pleasantness of the agents/behaviors. Behavioral results indicated that rating the likableness of the agent was mainly depended on the morally diagnostic character of the agent while rating the pleasantness of the behaviors was mainly depended on the moral valence of the behaviors per se.