Practice Management

Staffing & Scheduling

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

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[Simulators and simulation for advanced training in orthopedic and trauma surgery : An overview].

Simulators and immersive technologies, such as virtual reality and augmented reality are becoming in...

Comparative Analysis of ChatGPT-4o and Gemini Advanced Performance on Diagnostic Radiology In-Training Exams.

Background The increasing integration of artificial intelligence (AI) in medical education and clini...

The Role of AI in Modern Hernia Surgery: A Review and Practical Insights.

BackgroundArtificial intelligence (AI) is revolutionizing various aspects of health care, particular...

TriDeNT : Triple deep network training for privileged knowledge distillation in histopathology.

Computational pathology models rarely utilise data that will not be available for inference. This me...

Developing a deep learning model for the automated monitoring of acupuncture needle insertion: enhancing safety in traditional acupuncture practices.

BACKGROUND: Acupuncture is a widely practiced traditional therapy, yet safety concerns, particularly...

Masked Deformation Modeling for Volumetric Brain MRI Self-Supervised Pre-Training.

Self-supervised learning (SSL) has been proposed to alleviate neural networks' reliance on annotated...

The Touch of Artificial Intelligence in Social Work: Analysis of Social Investigation Reports in Child Welfare with ChatGPT.

PURPOSE: This research aimed to examine the responses given by ChatGPT to seven social investigation...

Pre-training artificial neural networks with spontaneous retinal activity improves motion prediction in natural scenes.

The ability to process visual stimuli rich with motion represents an essential skill for animal surv...

The impact of AI-driven sentiment analysis on patient outcomes in psychiatric care: A narrative review.

This article addresses the pressing question of how advanced analytical tools, specifically artifici...

Aggregation induced emission luminogen bacteria hybrid bionic robot for multimodal phototheranostics and immunotherapy.

Multimodal phototheranostics utilizing single molecules offer a "one-and-done" approach, presenting ...

A MEMS seismometer respiratory monitor for work of breathing assessment and adventitious lung sounds detection via deep learning.

Physicians evaluate a patient's respiratory health during a physical examination by visual assessmen...

Enhanced dose prediction for head and neck cancer artificial intelligence-driven radiotherapy based on transfer learning with limited training data.

PURPOSE: Training deep learning dose prediction models for the latest cutting-edge radiotherapy tech...

Exploring predictors of insomnia severity in shift workers using machine learning model.

INTRODUCTION: Insomnia in shift workers has distinctive features due to circadian rhythm disruption ...

Investigating the increase in the specialized performance of athletes using artificial neural network (ANN) exercises.

Badminton, a dynamic and fast-paced racket sport, demands a unique combination of physical, technica...

Zebrafish identification with deep CNN and ViT architectures using a rolling training window.

Zebrafish are widely used in vertebrate studies, yet minimally invasive individual tracking and iden...

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