Latest AI and machine learning research in refractive surgery for healthcare professionals.
BACKGROUND: The assessment of clinical outcome quality, particularly in surgery, is crucial for heal...
Fear- and trauma-related conditions, such as post-traumatic stress disorder (PTSD) and social phobi...
OBJECTIVE: This study was designed to investigate if artificial intelligence (AI) detection software...
Reporting of diagnostic nuclear images in clinical cancer management is generally qualitative. Thera...
PURPOSE: To create a machine-learning model for estimating the likelihood of post-retrograde intrare...
The Fontan procedure is the definitive palliation for pediatric patients born with single ventricles...
PURPOSE: To determine the association of machine learning-derived CT body composition and 90-day mor...
BACKGROUND: Early and reliable prognostication in post-cardiac arrest patients remains challenging, ...
Multimodal cancer therapies are often required for progressive cancers due to the high persistence a...
Recurrent landslide events triggered by typhoons and tropical storms over Vietnam pose a longstandin...
A crucial issue in forensics is determining the post-mortem interval (PMI), the time between death a...
In this study, we assessed the physical burden on professional caregivers when using a transfer supp...
The advent of artificial intelligence (AI) has catalyzed a profound transformation in the pharmaceut...
RATIONALE AND OBJECTIVES: The aim of this study was to evaluate the capability of an ultrasound (US)...
PURPOSE: To describe choroidal thickness measurements using a sequential deep learning segmentation ...
This study aims at improving the lower-limb muscle segmentation accuracy of deep learning approaches...
A real-time and reliable automatic detection system for epileptic seizures holds significant value i...
BACKGROUND: Patients undergo regular clinical follow-up after laminoplasty for cervical myelopathy. ...
BACKGROUND: The long-term survival of liver transplant (LT) recipients is essential for optimizing o...
This study aimed to predict arginine vasopressin deficiency (AVP-D) following transsphenoidal pituit...
BACKGROUND AND OBJECTIVES: Post-traumatic stress disorder is a debilitating psychological condition ...