Work Force

PD-L1 Scoring Models for Non-Small Cell Lung Cancer in China: Current Status, AI-Assisted Solutions and Future Perspectives.

Immunotherapy has revolutionized the diagnosis and treatment model for patients with advanced non-sm...

Integrating Artificial Intelligence (AI) With Workforce Solutions for Sustainable Care: A Follow Up to Artificial Intelligence and Machine Learning (ML) Based Decision Support Systems in Mental Health.

This integrative literature review examines the evolving role of artificial intelligence (AI) and ma...

Using GPT-4o to interpret patient-reported outcomes without training.

Breaking the barrier of human-annotated training data for machine learning-aided plant research using aerial imagery.

Machine learning (ML) can accelerate biological research. However, the adoption of such tools to fac...

Increase Docking Score Screening Power by Simple Fusion With CNNscore.

Scoring functions (SFs) of molecular docking is a vital component of structure-based virtual screeni...

A glance into the future of artificial intelligence-enhanced scalable personalized training: A response to Kopelovich, Brian, et al. (2025) and Kopelovich, Slevin, et al. (2025).

The two articles by Kopelovich, Brian, et al. (2025) and Kopelovich, Slevin, et al. (2025) mark a ne...

Towards artificial intelligence application in pain medicine.

Pain is a complex, multidimensional experience involving significant challenges in both diagnosis an...

AtSubP-2.0: An integrated web server for the annotation of Arabidopsis proteome subcellular localization using deep learning.

The organization of subcellular components in a cell is critical for its function and studying cellu...

Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition.

Purpose To investigate whether the computational effort of three-dimensional CT-based multiorgan seg...

[Pancreas segmentation with multi-channel convolution and combined deep supervision].

Due to its irregular shape and varying contour, pancreas segmentation is a recognized challenge in m...

[Research on multi-scale convolutional neural network hand muscle strength prediction model improved based on convolutional attention module].

In order to realize the quantitative assessment of muscle strength in hand function rehabilitation a...

AI-Assisted Tailored Intervention for Nurse Burnout: A Three-Group Randomized Controlled Trial.

BACKGROUND: High-stress environments, heavy workloads, and the emotional demands of patient care, wh...

Quantification of training-induced alterations in body composition via automated machine learning analysis of MRI images in the thigh region: A pilot study in young females.

The maintenance of an appropriate ratio of body fat to muscle mass is essential for the preservation...

Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden.

OBJECTIVE: This study evaluates the pilot implementation of ambient AI scribe technology to assess p...

AI for all: bridging data gaps in machine learning and health.

Artificial intelligence (AI) and its subset, machine learning, have tremendous potential to transfor...

Training forecast to football athletes using Hopfield neural networks based on Markov matrix.

This paper proposes a neural network based on the Markov probability transition matrix to predict th...

ML-ROM wall shear stress prediction in patient-specific vascular pathologies under a limited clinical training data regime.

High-fidelity numerical simulations such as Computational Fluid Dynamics (CFD) have been proven effe...

Leveraging big data in health care and public health for AI driven talent development in rural areas.

INTRODUCTION: This study proposes a novel Transformer-based approach to enhance talent attraction an...

Assessing ML classification algorithms and NLP techniques for depression detection: An experimental case study.

CONTEXT AND BACKGROUND: Depression has affected millions of people worldwide and has become one of t...

Optimizing patient check-in process for telehealth visits: a data-driven perspective.

Differential modulation of the cortical alpha rhythm and activation of distinct neural networks during tactile perception training by learners and non-learners.

BACKGROUND: The sensitivity and discrimination capacity of sensory systems can be improved by percep...