Practice Management

Staffing & Scheduling

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

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Showing 316-336 of 6,118 articles
Machine Learning and Metaheuristics Approach for Individual Credit Risk Assessment: A Systematic Literature Review.

Credit risk assessment plays a critical role in financial risk management, focusing on predicting bo...

Machine learning based adaptive traffic prediction and control using edge impulse platform.

Traffic congestion and delays are two major challenges in modern vehicle traffic control systems. Th...

Escarcitys: A framework for enhancing medical image classification performance in scarcity of trainable samples scenarios.

In the field of healthcare, the acquisition and annotation of medical images present significant cha...

Upper-Body Strength and Range of Motion Are Associated With Sprint-Paddling Force and Performance in Competitive Female and Male Surfers.

Gosney, S, Parsonage, J, Worsey, M, Keogh, J, MacDonald, L, Denny, A, and Minahan, C. Upper-body str...

SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices.

The proliferation of end devices has led to a distributed computing paradigm, wherein on-device mach...

Transforming Chronic Pain Management: Integrating Neuromodulation with Advanced Technologies to Tackle Cognitive Dysfunction - A Narrative Review.

Chronic pain is a complex and multidimensional condition that disrupts both physical function and co...

Triaging Clients at Risk of Disengagement from HIV Care: Application of a Predictive Model to Clinical Trial Data in South Africa.

PURPOSE: To reach South Africa's targets for HIV treatment and viral suppression, retention on antir...

From error to prevention of wrong-level spine surgery: a review.

Wrong-level spine surgery remains a significant concern in spine surgery, leading to devastating con...

The analysis of entrepreneurship evaluation system for talent cultivation in artistic creativity and animation under artificial intelligence.

This work aims to explore the application of artistic creativity using deep learning (DL) and artifi...

Artificial Intelligence in Surgical Training and Applications to Otolaryngology: A Scoping Review.

OBJECTIVE: Traditional evaluations of surgical skills in otolaryngology rely heavily on subjective a...

Integrative plasmonics: optical multi-effects and acousto-electric-thermal fusion for biosensing, energy conversion, and photonic circuits.

Surface plasmons, a unique optical phenomenon arising at the interface between metals and dielectric...

Multi-response optimization and validation analysis in the detection of acetochlor and butachlor by HPLC based on D-optimal design methodology.

Acetochlor and butachlor, widely used herbicides, pose environmental and health risks through water ...

Dual-action membrane-chimeric liposomes with self-reinforcing targeting for acute lung injury treatment.

Acute lung injury (ALI) is a common acute and critical syndrome with high mortality. The uncontrolla...

Artificial Intelligence Methods in the Detection of Oral Diseases on Pantomographic Images-A Systematic Narrative Review.

Artificial intelligence (AI) is playing an increasingly important role in everyday dental practice ...

Advances in Toughening Modification Methods for Epoxy Resins: A Comprehensive Review.

This work provides a comprehensive review of the recent advancements in the toughening modification ...

Surgery scheduling based on large language models.

Large Language Models (LLMs) have shown remarkable potential in various fields. This study explores ...

Unsupervised Test-Time Adaptation for Hepatic Steatosis Grading Using Ultrasound B-Mode Images.

Ultrasound (US) is considered a key modality for the clinical assessment of hepatic steatosis (i.e.,...

Active Organic Salts Enabling Non-Intrusive Electrolyte Presodiation Strategy.

Na-ion batteries show great promise, but their practical utilization is hindered by irreversible Na-...

Technological advancement spurs Komagataella phaffii as a next-generation platform for sustainable biomanufacturing.

Biomanufacturing stands as a cornerstone of sustainable industrial development, necessitating a shif...

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