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Health Policy

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

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Challenges of Artificial Intelligence in Medicine.

Artificial Intelligence (AI) holds great promise for healthcare, promising improved patient outcomes...

Artificial intelligence in colorectal surgery multidisciplinary team approach-From innovation to application.

Artificial intelligence (AI) has played a novel role in aiding healthcare system functions and enhan...

Using Machine Learning to Predict Uptake to an Online Self-Guided Intervention for Stress During the COVID-19 Pandemic.

Online self-guided interventions appear efficacious for alleviating some mental health concerns. How...

Multisequence 3-T Image Synthesis from 64-mT Low-Field-Strength MRI Using Generative Adversarial Networks in Multiple Sclerosis.

Background Portable low-field-strength (64-mT) MRI scanners show promise for increasing access to ne...

Determining health care cost drivers in older Hodgkin lymphoma survivors using interpretable machine learning methods.

BACKGROUND: The cost of health care for patients with Hodgkin lymphoma (HL) is projected to rise, ma...

Readability, reliability and quality of responses generated by ChatGPT, gemini, and perplexity for the most frequently asked questions about pain.

It is clear that artificial intelligence-based chatbots will be popular applications in the field of...

The ethical considerations of integrating artificial intelligence into surgery: a review.

The integration of artificial intelligence (AI) into surgery raises significant ethical concerns, in...

TopoQA: a topological deep learning-based approach for protein complex structure interface quality assessment.

Even with the significant advances of AlphaFold-Multimer (AF-Multimer) and AlphaFold3 (AF3) in prote...

AI-Augmented Kidney Stone Composition Analysis with Auto-Release Improves Quality, Efficiency, Cost-Effectiveness, and Staff Satisfaction.

BACKGROUND: We sought to evaluate key performance indicators related to an internally developed and ...

Improving Quality of Life of Families Headed by Parents With Intellectual Disabilities and Their Children by Means of Assistive Social Robotics.

BACKGROUND: Families of parents with intellectual disabilities still face discrimination, stigma and...

From Manual to Machine: Revolutionizing Day Surgery Guideline and Consensus Quality Assessment With Large Language Models.

OBJECTIVE: To evaluate the methodological and reporting quality of clinical practice guidelines/expe...

A Veterinary DICOM-Based Deep Learning Denoising Algorithm Can Improve Subjective and Objective Brain MRI Image Quality.

In this analytical cross-sectional method comparison study, we evaluated brain MR images in 30 dogs ...

Exploring Health Sciences Students' Perspectives on Using Generative Artificial Intelligence in Higher Education: A Qualitative Study.

The widespread adoption of artificial intelligence (AI) tools in academic settings has the potential...

Ethical considerations on the use of big data and artificial intelligence in kidney research from the ERA ethics committee.

In the current paper, we will focus on requirements to ensure big data can advance the outcomes of o...

Regulating Innovation: Addressing the Challenges of Canada's Health-Tech Sector.

The Canadian health-tech sector faces regulatory challenges amidst rapid innovations in artificial i...

Evaluation of Image Quality and Scan Time Efficiency in Accelerated 3D T1-Weighted Pediatric Brain MRI Using Deep Learning-Based Reconstruction.

OBJECTIVE: This study evaluated the effect of an accelerated three-dimensional (3D) T1-weighted pedi...

Health system-wide access to generative artificial intelligence: the New York University Langone Health experience.

OBJECTIVES: The study aimed to assess the usage and impact of a private and secure instance of a gen...

Postoperative Management of Tympanoplasty with ChatGPT-4.0.

Background: Tympanoplasty, essential for repairing tympanic membrane perforations, requires careful ...

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