Practice Management

Staffing & Scheduling

Latest AI and machine learning research in staffing & scheduling for healthcare professionals.

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Robust techno-economic optimization of energy hubs under uncertainty using active learning with artificial neural networks.

Energy hubs (EHs) are considered a promising solution for multi-energy resources, providing advanced...

Surface Hopping Nested Instances Training Set for Excited-state Learning.

Theoretical studies of molecular photochemistry and photophysics are essential for understanding fun...

Machine Learning-Driven Prediction of Electrochemical Promotion in the Reverse Water Gas Shift Reaction.

Electrochemical promotion of catalysis (EPOC) provides an effective and versatile strategy to enhanc...

Enhancing Graph Reconstruction: Uniting Dual-Level Graph Structure With Graph Reinforcement Learning.

A combinatorial optimization problem is typically regarded as a 1-D sorting problem in most existing...

AI-assisted script concordance tests: Enhancing feasibility with customized ChatGPT.

WHAT WAS THE EDUCATIONAL CHALLENGE?: The Script Concordance Test (SCT) assesses clinical reasoning b...

Virtual patients, real conversations: ChatGPT advanced voice mode for pain communication training.

Across many healthcare disciplines, clinicians report feeling unprepared to treat and communicate e...

Recognizing Nurse Care Activity: An Artificial Intelligence Approach With Bidirectional Interactive Cross-Attention.

Nursing care activities are essential to healthcare delivery, directly impacting patient safety, rec...

Progressive Training for Learning From Label Proportions.

Learning from label proportions (LLPs), which aims to learn an instance-level classifier using propo...

Bioengineering approaches to trained immunity: Physiologic targets and therapeutic strategies.

Trained immunity presents a unique target for modulating the immune response against infectious and ...

Optimizing Exciton and Charge-Carrier Behavior in Thick-Film Organic Photovoltaics: A Comprehensive Review.

Organic photovoltaics (OPVs) have achieved remarkable progress, with laboratory-scale single-junctio...

Enhancement of sulfide-based absorber and charge transport layer solar cell performance using machine learning and the SCAPS-1D simulator.

Lead(II) sulfide (PbS)-integrated solar devices are attracting attention from scientists because of ...

DeepSecMS Advances DIA-Based Selenoproteome Profiling Through Cys-to-Sec Proxy Training.

Selenoproteins, defined as proteins containing the 21st amino acid, selenocysteine (Sec, U), are fun...

Dynamic Training Enhances Machine Learning Potentials for Long-Lasting Molecular Dynamics.

Molecular dynamics (MD) simulations are vital for exploring complex systems in computational physics...

Endodontic diagnostics training in undergraduate dental education: An observational pilot study on AI-driven virtual patient e-learning.

AIM: To develop and evaluate an e-learning tool utilizing a generative pre-trained transformer (GPT)...

The topology of molecular representations and its influence on machine learning performance.

Advancements in cheminformatics have led to numerous methods for encoding molecules numerically. The...

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