Latest AI and machine learning research in risk management for healthcare professionals.
We recently developed an explosion-propeller hybrid driving underwater robot combined with an AI-bas...
In this paper, we present the implementation of an artificial intelligence health assistant designed...
OBJECTIVE: To evaluate radiation dose and image quality of a double-low CCTA protocol reconstructed ...
Radiologists' traditional role in the diagnostic process is to respond to specific clinical question...
BACKGROUND: Quality assessment of diagnostic accuracy studies (QUADAS), and more recently QUADAS-2, ...
The widespread use of Chat Generative Pre-trained Transformer (known as ChatGPT) and other emerging ...
Hematoxylin- and eosin-stained whole-slide images (WSIs) are the foundation of diagnosis of cancer. ...
Deep learning has revolutionized EEG decoding, showcasing its ability to outperform traditional mach...
INTRODUCTION: Undetected high-risk conditions in pregnancy are a leading cause of perinatal mortalit...
The recent surge in artificial intelligence (AI) has significantly transformed work dynamics, partic...
Melanoma of the skin is the 17th most common cancer worldwide. Early detection of suspicious skin le...
INTRODUCTION: Missed fractures are the most frequent diagnostic error attributed to clinicians in UK...
In this paper, we study facial expression recognition (FER) using three modalities obtained from a l...
User-friendly in-field sensing protocol is crucial for the effective tracing of intended analytes un...
INTRODUCTION: Development of asthma and allergies in childhood/adolescence commonly follows a sequen...
This paper outlines the protocol for the deployment of a cloud-based universal medical image reposit...
Ground reaction force (GRF) data is often collected for the biomechanical analysis of running, due t...
OBJECTIVES: The aim of this study was to evaluate the use of a multicontrast deep learning (DL)-reco...
The Symptom Checklist-90 (SCL-90), widely utilized for psychological assessments, faces challenges d...
Tissue hysteresivity is an important marker for determining the onset and progression of respiratory...
OBJECTIVE: Optimized deep brain stimulation (DBS) is fast becoming a therapy of choice for the treat...