Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
BACKGROUND: The integration of AI chatbots into plastic surgery websites is now standard, providing asynchronous, real-time engagement for patients. Although promoted as scheduling and medical guidance tools, their contribution to clinical workflow improvement and patient satisfaction remains unclear. OBJECTIVES: The aim of this study was to evaluate the accuracy of AI chatbot performance in clini...
Conventional LiFePO4 (LFP) cathodes employing poly(vinylidene fluoride) (PVDF) as binder exhibit relatively stable cycling performance but suffer from poor ionic conductivity, limited rate capability, restricted cycling stability at high current densities, as well as environmental concerns about the high fluorine content of PVDF. Here, we introduce an anion-cluster-mediated Li+ hopping mechanism i...
Platinum (Pt) complexes are highly relevant for medicinal chemistry and homogeneous catalysis. In the development of novel Pt-based chemotherapeutic a...
Research communication is undergoing a paradigm shift. The traditional linear manuscript-foundational for centuries-increasingly reveals limitations i...
INTRODUCTION: Artificial intelligence (AI) tools, such as customized chatbots, present an opportunity to enhance active learning in physician assistan...
Physics-Informed Neural Networks (PINNs) represent a hybrid modeling paradigm that embeds governing physical laws, expressed as partial differential e...
Semi-empirical quantum-mechanical (QM) methods have become valuable tools for studying complex (bio)molecular systems due to their balance between com...
The continued scaling of flash memory technologies faces challenges such as limited operation speed, poor data retention, and interface defects inhere...
Long-Term Care (LTC) in Canada faces persistent challenges in quality, staffing, and accountability. InterRAI assessment instruments, used nationally ...
The partial reduction of layered double hydroxides (LDHs) is becoming a vital approach to harness their electrochemical capabilities for high-performa...
BACKGROUND: Endovascular aneurysm repair (EVAR) has become a standard treatment for abdominal aortic aneurysms. However, the evolution of EVAR researc...
In recent decades, cardiovascular disease, or heart disease, has been the number one cause of death worldwide, establishing an urgent need for timely ...
Learning under uncertainty has become increasingly critical in data-intensive artificial intelligence applications, requiring computing systems that u...
Research on graduate employment had traditionally emphasized talent cultivation while insufficiently addressing labor market dynamics, which generated...
Conventional tumor chemotherapy faces limitations including drug resistance, high toxicity, non-selectivity, and side effects. Nano-drug delivery syst...
Hydration thermodynamic quantities are essential for understanding protein function from a free-energy perspective. The grid inhomogeneous solvation t...
OBJECTIVES: Total hip and knee arthroplasty (THA and TKA, respectively) are effective procedures but are costly and resource intensive. As such, sched...
Pure shift NMR spectroscopy has found extensive applications in exploring the structure, function, and interactions of molecules in an ultrahigh-resol...
OBJECTIVE: Biomechanical loading is a known contributor to osteoarthritis (OA) pathogenesis, and one of the few modifiable risk factors. Thus, researc...
The perceived recovery of expected salary (RES) matters for work efficacy at a given amount of wage investment. A total of 31 industrial parks (IPs) w...