Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Deep learning models are often characterized as black boxes because their layers of various mathemat...
This paper reflects on the development and performance of an advanced artificial intelligence (AI) a...
Pavlovian avoidance enables rapid defensive responding but can undermine goal-directed behaviour whe...
The cerebellum, long regarded as a motor structure, is increasingly recognized for its role in highe...
Memory is essential for the neural processing of natural sounds. It has been proposed that cortical ...
The CACNA1C gene encodes the CaV1.2 L-type voltage-gated calcium channel, which plays a crucial role...
Accurate NMR chemical shift assignments are essential for atomic-resolution characterization of prot...
Skilled athletes need powerful movement strategies to solve tasks effectively. Typically, athletes l...
Deep-learning models for prostate cancer detection often require large datasets, which can be challe...
Rapid developments are occurring in artificial intelligence (AI) and machine learning (ML) applied t...
Hyperspectral imaging (HSI) collects detailed spectral information across hundreds of narrow bands, ...
Rift Valley fever (RVF) is a zoonotic disease that causes sporadic, multi-country epidemics. However...
Technology is an important social determinant of health that has so far been poorly understood. Neve...
Anemia, or low blood hemoglobin (Hb), affects one third of the world population, and is particularly...
Coronary angiography (CAG) reports contain many details about coronary anatomy, lesion characteristi...
Infectious disease modelling (IDM) is increasingly being used to understand disease transmission and...
Integrated digital diagnostics can support complex surgeries in many anatomic sites, and brain tumou...
Gadolinium-based Contrast Agents (GBCAs) are used in brain MRI exams to improve the visualization of...
Primary care presents an ideal opportunity for early detection of cognitive impairment, yet primary ...
The integration of intelligent technologies in operating room nursing represents a rapidly evolving ...
This study addresses the critical implementation science challenge of operationalizing social determ...