Practice Management

Staffing & Scheduling

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

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Showing 1912-1932 of 2,458 articles
Case-Control Matching Erodes Feature Discriminability for AI-driven Sepsis Prediction in ICUs: A Retrospective Cohort Study

Sepsis remains a leading cause of intensive care unit (ICU) mortality worldwide, and early detection...

A 60-Second Interpretable Voice Model for Early Dementia Screening

Early detection of cognitive impairment in assisted living is hindered by time-intensive tools like ...

The impacts of artificial intelligence on the workload of diagnostic radiology services: A rapid review and stakeholder contextualisation

Advancements in imaging technology, alongside increasing longevity and co-morbidities, have led to h...

Comparison of Foundation and Supervised Learning-Based Models for Detection of Referable Glaucoma from Fundus Photographs

To compare the performance of a foundation model and a supervised learning-based model for detecting...

Real-Time Biometric Monitoring for Cognitive Workload Detection: A Narrative Review of Applications in High-Demand Professions

This narrative review examines the theoretical foundations of mental workload, evaluates biometric m...

Diagnostic Codes in AI prediction models and Label Leakage of Same-admission Clinical Outcomes

Artificial intelligence (AI) and statistical models designed to predict same-admission outcomes for ...

Approaches in Analyzing Predictors of Trial Failure: A Scoping Review and Meta-epidemiological study

Although there are numerous studies exploring predictors of clinical trial failure, there is a lack ...

Early Subtypes and Progressions of Progressive Supranuclear Palsy: A Data-Driven Brain Bank Study

Progressive supranuclear palsy (PSP) is typically characterized by vertical supranuclear gaze palsy ...

Independent contributions of language activations in left and right temporal cortex to aphasia outcomes after stroke

Recovery from aphasia after stroke is thought to depend on functional reorganization of language pro...

The Effect of Image Resolution on the Performance of Deep Learning Algorithms in Detecting Calcaneus Fractures on X-Ray

To evaluate convolutional neural network (CNN) model training strategies that optimize the performan...

Privacy-Enhancing Sequential Learning under Heterogeneous Selection Bias in Multi-Site EHR Data

To develop privacy-enhancing statistical methods for estimation of binary disease risk model associa...

A Scoping Review of Algorithmic Equity, Data Diversity, and Inclusive Design in the Transformer Era of Clinical NLP

The rapid digitization of healthcare has positioned transformer-based natural language processing (N...

Synthetic Anatomy: Deep Learning Models for Virtual Population Generation–A Review

In-silico trials (ISTs) represent a transformative approach in medical research, leveraging computer...

Predicting future cognitive impairment in preclinical Alzheimer’s disease using multimodal imaging: a multisite machine learning study

Predicting the likelihood of developing Alzheimer’s disease (AD) dementia in at-risk individuals is ...

The Cognitive Safety Net: Comparing Human and AI Diagnostic Reasoning during Complex Clinical Situations

Diagnostic error in high-stakes clinical environments remains a significant cause of preventable har...

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