Public Health & Policy

Work Force

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

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A Training Needs Analysis for AI and Generative AI in Medical Education: Perspectives of Faculty and Students.

INTRODUCTION: The growing presence of artificial intelligence (AI) in health professions has created...

Telemedicine in China: Effective indicators of telemedicine platforms for promoting health and well-being among healthcare consumers.

OBJECTIVE: Telemedicine platforms played a crucial role during the COVID-19 pandemic, alleviating is...

Comparitive performance of artificial intelligence-based large language models on the orthopedic in-training examination.

BACKGROUND: Large language models (LLMs) have many clinical applications. However, the comparative p...

Automated Deep Learning-Based Detection and Segmentation of Lung Tumors at CT.

Background Detection and segmentation of lung tumors on CT scans are critical for monitoring cancer...

Secure messaging telehealth billing in the digital age: moving beyond time-based metrics.

OBJECTIVE: We proposed adopting billing models for secure messaging (SM) telehealth services that mo...

JTIS: enhancing biomedical document-level relation extraction through joint training with intermediate steps.

Biomedical Relation Extraction (RE) is central to Biomedical Natural Language Processing and is cruc...

Quantification of Empty Lacunae in Tissue Sections of Osteonecrosis of the Femoral Head Using YOLOv8 Artificial Intelligence Model.

Histomorphometry is an important technique in the evaluation of non-traumatic osteonecrosis of the f...

[Application progress and future prospects of interventional robotics in vascular injury hemostasis].

The field of traumatic hemostasis is currently confronted with numerous challenges, particularly in ...

Spines and Inclines: Bioinspired Spines on an Insect-Scale Robot Facilitate Locomotion on Rough and Inclined Terrain.

To navigate complex terrains, insects use diverse tarsal structures (adhesive pads, claws, spines) t...

Machine learning-enabled computer vision for plant phenotyping: a primer on AI/ML and a case study on stomatal patterning.

Artificial intelligence and machine learning (AI/ML) can be used to automatically analyze large imag...

[HIPPOCRATES AND LANGUAGE MODELS - PRIMUM NON NOCERE - FIRST, DO NO HARM].

For millennia, the ethos of "First, Do No Harm", attributed to Hippocrates, has been a cornerstone o...

Precision DNA methylation typing via hierarchical clustering of Nanopore current signals and attention-based neural network.

Decoding DNA methylation sites through nanopore sequencing has emerged as a cutting-edge technology ...

Deep learning model for protein multi-label subcellular localization and function prediction based on multi-task collaborative training.

The functional study of proteins is a critical task in modern biology, playing a pivotal role in und...

Method for remaining useful life prediction of rolling bearings based on deep reinforcement learning.

In contemporary industrial systems, the prediction of remaining useful life (RUL) is recognized as a...

Learning meaningful representation of single-neuron morphology via large-scale pre-training.

SUMMARY: Single-neuron morphology, the study of the structure, form, and shape of a group of special...

Large language models and generative AI in telehealth: a responsible use lens.

OBJECTIVE: This scoping review aims to assess the current research landscape of the application and ...

A review of robot-assisted ultrasound examination: Systems and technology.

BACKGROUND: At present, the number and overall level of ultrasound (US) doctors cannot meet the medi...

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