Public Health & Policy

Work Force

Latest AI and machine learning research in work force for healthcare professionals.

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Cerebral aneurysm surgical training in the neuroendovascular era and its impact on the production of comfortable aneurysm surgeons.

BACKGROUND: The increasing use of endovascular techniques has greatly decreased the number of intrac...

Transferability of Data Sets between Machine-Learned Interatomic Potential Algorithms.

The emergence of Foundational Machine Learning Interatomic Potential (FMLIP) models trained on exten...

Harnessing vaginal inflammation and microbiome: a machine learning model for predicting IVF success.

Humans are the only species with a commensal Lactobacillus-dominant vaginal microbiota. Reproductive...

Integrating Nurse Preferences Into AI-Based Scheduling Systems: Qualitative Study.

BACKGROUND: Nurse scheduling is a complex challenge in health care, impacting both patient care qual...

Gender and Ethnicity Bias of Text-to-Image Generative Artificial Intelligence in Medical Imaging, Part 2: Analysis of DALL-E 3.

Disparity among gender and ethnicity remains an issue across medicine and health science. Only 26%-3...

Energy consumption analysis and prediction in exercise training based on accelerometer sensors and deep learning.

This study aims to enhance the accuracy and efficiency of energy consumption prediction during exerc...

Immunohistochemical biomarker scoring in gastroesophageal cancers: Can computers help us?

The increasing complexity of cancer diagnostics and treatment selection has placed a growing burden ...

Multi-view based heterogeneous graph contrastive learning for drug-target interaction prediction.

Drug-Target Interaction (DTI) prediction plays a pivotal role in accelerating drug discovery and dev...

Assessing medical students' readiness for artificial intelligence after pre-clinical training.

BACKGROUND: Artificial intelligence (AI) is becoming increasingly relevant in healthcare, necessitat...

Concept transfer of synaptic diversity from biological to artificial neural networks.

Recent developments in artificial neural networks have drawn inspiration from biological neural netw...

Evaluation of sports training methods and technical characteristics based on multi-dimensional driving fuzzy intelligent computing.

To improve the competitive state of badminton athletes and summarize the technical characteristics o...

Training Set Design for Uneven Illumination Correction in High-Resolution Whole Slide Images.

Uneven illumination correction is considered a critical pre-processing step in creating digital imag...

SPAS-Dataset-BD: Dataset for smart precision agriculture system in Bangladesh.

Precision agriculture harnesses data-driven techniques to optimize crop production, resource use, an...

Advancing Musculoskeletal Care Using AI and Digital Health Applications: A Review of Commercial Solutions.

Artificial intelligence (AI) and digital health (DH) solutions are reshaping musculoskeletal (MSK) c...

AI-Enhanced Rural Medical Education: Bridging Gaps and Building Trust.

Persistent geographic and specialty-based disparities in health care workforce distribution have cre...

Demonstration of accurate ID-VG characteristics modeling in SiC mosfets using separated artificial neural networks with small training dataset.

This study developed a novel approach based on separated artificial neural networks (ANNs) to effici...

Reversible molecular simulation for training classical and machine-learning force fields.

The next generation of force fields for molecular dynamics will be developed using a wealth of data....

Genomic advancements in goat breeding: enhancing productivity, disease resistance, and sustainability in India's rural economy.

Goats are vital to the rural economy of India, contributing significantly to livelihoods, nutrition,...

Impact of generative artificial intelligence on the professional qualities curriculum and reflection essays during physician training.

The professional development curriculum is a vital component in physician training and is important ...

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