Latest AI and machine learning research in psychiatry for healthcare professionals.
Psychiatrists and psychotherapists specialising in the fields of addiction, personality disorders, A...
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...
IMPORTANCE: Diagnoses and treatment of mental disorders are hampered by the current lack of objectiv...
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-...
OBJECTIVE: The aim of this study was to qualitatively examine Turkish tweets about schizophrenia in ...
BACKGROUND: Suicidal Behaviors and Thoughts are a relevant public health issue that includes suicida...
BACKGROUND: The aim of the present study is to evaluate the possible advantages of the Robo-Lap (par...
BACKGROUND: Social robotics is a research field aimed at providing robots with skills related to soc...
BACKGROUND: Artificial intelligence (AI) can be a valuable addition to psychiatry by helping to make...
Psychological First Aid (PFA) is practiced worldwide. This practice in English is guided through a ...
Social robot pets promote engagement and psychosocial well-being among older adults, yet little is k...
Background The tonsillectomy is the most common Ear, Nose, and Throat (ENT) surgical procedure. Diff...
We developed an artificial intelligence (AI) technique to identify epileptic discharges (spikes) in ...
In mental state decoding, researchers aim to identify the set of mental states (e.g., experiencing h...
PURPOSE: In patients with ophthalmic disorders, psychosocial risk factors play an important role in ...
While machine learning techniques have been used to model categorization/decision making tasks that ...