Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
PURPOSE: Computed tomography (CT) is a technique of choice to image bone structure at different scal...
Membrane fouling is one of major obstacles in the application of membrane technologies. Accurately p...
Nowadays, artificial intelligence (AI) is becoming more important in medicine and in dentistry. It c...
Cellular profiling with multiplexed immunofluorescence (MxIF) images can contribute to a more accura...
Overground powered lower limb exoskeletons (EXOs) have proven to be valid devices in gait rehabilita...
We are in the middle of a digital revolution in medicine. This raises the question of whether subjec...
Training agents via deep reinforcement learning with sparse rewards for robotic control tasks in vas...
Creativity is a major source of innovation, growth, adaptability, and psychological resilience, maki...
OBJECTIVE: The Hybrid Assistive Limb (HAL; CYBERDYNE, Inc., Japan) is a wearable robot device that p...
The classification of patients as cancer and normal patients by applying the computational methods o...
Hemorrhagic shock remains the leading cause of mortality in civilian trauma and battlefield settings...
The aim of this systematic review is to assess the robot-assisted radical cystectomy (RARC) learnin...
Sex estimation standards are population specific however, we argue that machine learning techniques ...
Sports training strategies should be combined with science and technology to design the most suitabl...
This paper examines the problem of athletes' training in sports, exploring the methods and means by ...
Humans can identify objects following various spatial transformations such as scale and viewpoint. T...
Cancer is one of the most dangerous diseases to humans, and yet no permanent cure has been developed...
OBJECT: With the development of deep learning, the number of training samples for medical image-base...
OBJECTIVE: The Hybrid Assistive Limb (HAL) has recently been used to treat movement disorders. Altho...
Large datasets with high-quality labels required to train deep neural networks are challenging to ob...
This paper provides a comprehensive review of Appointment Scheduling (AS) in healthcare service whil...