Public Health & Policy

Work Force

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

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Showing 43-63 of 4,174 articles
Dynamic Training Enhances Machine Learning Potentials for Long-Lasting Molecular Dynamics.

Molecular dynamics (MD) simulations are vital for exploring complex systems in computational physics...

Endodontic diagnostics training in undergraduate dental education: An observational pilot study on AI-driven virtual patient e-learning.

AIM: To develop and evaluate an e-learning tool utilizing a generative pre-trained transformer (GPT)...

Comparison of FORCE trained spiking and rate neural networks shows spiking networks learn slowly with noisy, cross-trial firing rates.

Training spiking recurrent neural networks (SRNNs) presents significant challenges compared to stand...

Pediatrics 4.0: the Transformative Impacts of the Latest Industrial Revolution on Pediatrics.

Industry 4.0 represents the latest phase of industrial evolution, characterized by the seamless inte...

Resource trading strategies with risk selection in collaborative training market.

The rapid development of edge computing and artificial intelligence has brought growing interest in ...

Application of image guided analyses to monitor fecal microbial composition and diversity in a human cohort.

The critical role of gut microbiota in human health and disease has been increasingly illustrated ov...

A multimodal dataset for training deep learning models aimed at detecting and analyzing sleep apnea.

Sleep Apnea Syndrome (SAS) is a serious respiratory disorder that can lead to a range of complicatio...

From notes to networks - A three-dimensional framework with integrated curation for using Google NotebookLM in health professions education.

Health professions educators face increasing demands to create evidence-based and student-centered c...

Quantum equilibrium propagation for efficient training of quantum systems based on Onsager reciprocity.

The widespread adoption of machine learning and artificial intelligence in all branches of science a...

Getting by with a little help from avatar friends: Use of AI-powered avatars to implement feedback training for faculty.

Delivering feedback is a critical skill that remains widely underdeveloped among medical educators. ...

A multi-stage training and deep supervision based segmentation approach for 3D abdominal multi-organ segmentation.

Accurate X-ray Computed tomography (CT) image segmentation of the abdominal organs is fundamental fo...

Extensive novel diversity and phenotypic associations in the dromedary camel microbiome are revealed through deep metagenomics and machine learning.

The dromedary camel, also known as one-humped camel or Arabian camel, is iconic and economically imp...

Enhancing pathological feature discrimination in diabetic retinopathy multi-classification with self-paced progressive multi-scale training.

Diabetic retinopathy (DR) is a common diabetes complication that presents significant diagnostic cha...

AI-generated dermatologic images show deficient skin tone diversity and poor diagnostic accuracy: An experimental study.

BACKGROUND: Generative AI models are increasingly used in dermatology, yet biases in training datase...

Radiology and the Innovator's Dilemma: Is Disruption on the Horizon?

Radiology is experiencing a growing workforce shortage, presenting opportunity for disruption by non...

Predictive estimations of health systems resilience using machine learning.

Operationalizing resilience in public health systems is critical for enhancing adaptive capacity dur...

A high-throughput screening method for selecting feature SNPs to evaluate breed diversity and infer ancestry.

As the scale of deep whole-genome sequencing (WGS) data has grown exponentially, hundreds of million...

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