Latest AI and machine learning research in bipolar disorder for healthcare professionals.
Video-based action recognition is becoming a vital tool in clinical research and neuroscientific stu...
Sleep plays an important role in neonatal brain and physical development, making its detection and c...
OBJECTIVE: To explore the effectiveness of using deep learning network combined Vision Transformer (...
OBJECTIVES: Surgical robot system has broken the limitation of traditional surgery and shown excelle...
Since April 2018, robot-assisted rectal resection has been approved as an insurance medical treatmen...
Current machine learning-based methods have achieved inspiring predictions in the scenarios of mono-...
Background The tonsillectomy is the most common Ear, Nose, and Throat (ENT) surgical procedure. Diff...
BACKGROUND: The aim of the present study is to evaluate the possible advantages of the Robo-Lap (par...
We developed an artificial intelligence (AI) technique to identify epileptic discharges (spikes) in ...
Pilots' mental health has received increased attention following Germanwings Flight 9525 in 2015, w...
Multimodal brain networks characterize complex connectivities among different brain regions from bot...
In this article, we introduce the 2-tuple linguistic bipolar fuzzy set (2TLBFS), a new strategy for ...
In the modern world, with so much inherent stress, mental health disorders (MHDs) are becoming more ...
Major depression disorder is one of the diseases with the highest rate of disability and morbidity a...
Artificial intelligence, such as deep generative methods, represents a promising solution to de novo...
Hand gesture recognition using high-density surface electromyography (HD-sEMG) has gained increasing...
IMPORTANCE: Major life stressors, such as loss and trauma, increase the risk of depression. It is kn...
Genetic Programming is a method to automatically create computer programs based on the principles of...
Semi-supervised learning has always been a hot topic in machine learning. It uses a large number of ...
IMPORTANCE: Diverse models have been developed to predict psychosis in patients with clinical high-r...
BACKGROUND: There is a lack of reliable biomarkers for major depressive disorder (MDD) in clinical p...