Practice Management

Staffing & Scheduling

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

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Showing 3550-3570 of 6,213 articles
Advancements of AI in healthcare: a comprehensive review of ChatGPT's applications and challenges.

The rapid integration of artificial intelligence into healthcare has introduced transformative possi...

Challenges and opportunities for validation of AI-based new approach methods.

The integration of artificial intelligence (AI) into new approach methods (NAMs) for toxicology rep-...

Current Use And Evaluation Of Artificial Intelligence And Predictive Models In US Hospitals.

Effective evaluation and governance of predictive models used in health care, particularly those dri...

Machine Learning Techniques to Infer Protein Structure and Function from Sequences: A Comprehensive Review.

The elucidation of protein structure and function plays a pivotal role in understanding biological p...

Diagnostic Performance of Deep Learning Applications in Hepatocellular Carcinoma Detection Using Computed Tomography Imaging.

Hepatocellular carcinoma (HCC) is a prevalent cancer that significantly contributes to mortality glo...

JTIS: enhancing biomedical document-level relation extraction through joint training with intermediate steps.

Biomedical Relation Extraction (RE) is central to Biomedical Natural Language Processing and is cruc...

Deciphering the Role of SLFN12: A Novel Biomarker for Predicting Immunotherapy Outcomes in Glioma Patients Through Artificial Intelligence.

Gliomas are the most prevalent form of primary brain tumours. Recently, targeting the PD-1 pathway w...

Multimodal deep learning approaches for precision oncology: a comprehensive review.

The burgeoning accumulation of large-scale biomedical data in oncology, alongside significant stride...

Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 1: review of current advancements.

The development, application, and benchmarking of artificial intelligence (AI) tools to improve diag...

Artificial intelligence for optimizing recruitment and retention in clinical trials: a scoping review.

OBJECTIVE: The objective of our research is to conduct a comprehensive review that aims to systemati...

Automated detection of maxillary sinus opacifications compatible with sinusitis from CT images.

BACKGROUND: Sinusitis is a commonly encountered clinical condition that imposes a considerable burde...

Review on article of preoperative prediction in chronic hepatitis B virus patients using spectral computed tomography and machine learning.

This letter comments on the article that developed and tested a machine learning model that predicts...

Deep learning model for protein multi-label subcellular localization and function prediction based on multi-task collaborative training.

The functional study of proteins is a critical task in modern biology, playing a pivotal role in und...

Learning meaningful representation of single-neuron morphology via large-scale pre-training.

SUMMARY: Single-neuron morphology, the study of the structure, form, and shape of a group of special...

Impact of high-quality, mixed-domain data on the performance of medical language models.

OBJECTIVE: To optimize the training strategy of large language models for medical applications, focu...

Development of a Data Model to Predict Nursing Workload Using Routine Clinical Data.

The effective management of human resources in nursing is fundamental to ensuring high-quality care....

Towards Autonomous Living Meta-Analyses: A Framework for Automation of Systematic Review and Meta-Analyses.

Systematic review and meta-analysis constitute a staple of evidence-based medicine, an obligatory st...

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