US Health Policy

Latest AI and machine learning research in us health policy for healthcare professionals.

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The Emergence of AI in Public Health Is Calling for Operational Ethics to Foster Responsible Uses.

This paper discusses the responsible use of artificial intelligence (AI) in public health and in med...

Redefining Value in Orthopedic Surgery.

Value-based health care is a commonly used term that merits a strong understanding from the orthoped...

Predicting and investigating water quality index by robust machine learning methods.

This study addresses the critical challenges of waste management and water quality in urban environm...

Public Awareness of and Attitudes Toward the Use of AI in Pathology Research and Practice: Mixed Methods Study.

BACKGROUND: The last decade has witnessed major advances in the development of artificial intelligen...

Prognostic value of SAPS II score for 28-day mortality in ICU patients with acute pulmonary embolism.

BACKGROUND: Acute pulmonary embolism (APE) is a common and life-threatening emergency in intensive c...

An effectiveness of machine learning models for estimate the financial cost of assistive services to disability care in the Kingdom of Saudi Arabia.

As per the World Health Organization (WHO), the justifications of people with disabilities globally ...

Deep learning-based normative database of anterior chamber dimensions for angle closure assessment: the Singapore Chinese Eye Study.

BACKGROUND/ AIMS: The lack of context for anterior segment optical coherence tomography (ASOCT) meas...

Predictive value of machine learning for in-hospital mortality risk in acute myocardial infarction: A systematic review and meta-analysis.

BACKGROUND: Machine learning (ML) models have been constructed to predict the risk of in-hospital mo...

Diagnostic value of deep learning of multimodal imaging of thyroid for TI-RADS category 3-5 classification.

BACKGROUND: Thyroid nodules classified within the Thyroid Imaging Reporting and Data Systems (TI-RAD...

Forecasting trends of rising emergency department chest imaging using machine learning.

INTRODUCTION: Imaging studies in the acute care setting, such as the emergency room, have been incre...

Comparison of Machine Learning Algorithms Identifying Children at Increased Risk of Out-of-Home Placement: Development and Practical Considerations.

OBJECTIVE: To develop a machine learning (ML) algorithm capable of identifying children at risk of o...

AI anxiety and knowledge payment: the roles of perceived value and self-efficacy.

BACKGROUND: The integration of Artificial Intelligence (AI) into daily life raises significant chall...

Added value of artificial intelligence for the detection of pelvic and hip fractures.

PURPOSE: To assess the added value of artificial intelligence (AI) for radiologists and emergency ph...

Assessments of lung nodules by an artificial intelligence chatbot using longitudinal CT images.

Large language models have shown efficacy across multiple medical tasks. However, their value in the...

Quantitative analysis and evaluation of winter and summer landscape colors in the Yangzhou ancient Canal utilizing deep learning.

Color is an important index for human visual evaluation of landscape, and it is also a key factor af...

Clinical value of aortic arch morphology in transfemoral TAVR: artificial intelligence evaluation.

BACKGROUND: The impact of aortic arch (AA) morphology on the management of the procedural details an...

AI-Powered Analysis of Weight Loss Reports from Reddit: Unlocking Social Media's Potential in Dietary Assessment.

: The increasing use of social media for sharing health and diet experiences presents new opportunit...

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