Patient safety / Risk Management

GeFL: Model-Agnostic Federated Learning with Generative Models

Federated learning (FL) is a distributed training paradigm that enables collaborative learning acr...

The 2020 United States Decennial Census Is More Private Than You (Might) Think

The U.S. Decennial Census serves as the foundation for many high-profile policy decision-making pr...

Inside Out or Not: Privacy Implications of Emotional Disclosure

Privacy is dynamic, sensitive, and contextual, much like our emotions. Previous studies have explo...

Properties of Effective Information Anonymity Regulations

A firm seeks to analyze a dataset and to release the results. The dataset contains information abo...

AI in radiological imaging of soft-tissue and bone tumours: a systematic review evaluating against CLAIM and FUTURE-AI guidelines

Soft-tissue and bone tumours (STBT) are rare, diagnostically challenging lesions with variable cli...

Performance of a NLP Tool for Text Classification from Orthopaedic Operative Reports, Using Data from the Large Network of Clinical Data Warehouses of the West of France: The HACRO-HUGORTHO Project.

Electronic health data concerning implantable medical devices (IMD) opens opportunities for dynamic ...

Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory

Privacy research has attracted wide attention as individuals worry that their private data can be ...

From zero to figure hero. A checklist for designing scientific data visualizations

Biological research spans scales and methodologies, generating complex data visualizations such as...

Incorporation of Generative AI in an Introductory Nursing Informatics Course.

This case study describes how one educator approached the incorporation of generative AI into a grad...

From Principles to Practices: Lessons Learned from Applying Partnership on AI's (PAI) Synthetic Media Framework to 11 Use Cases

2023 was the year the world woke up to generative AI, and 2024 is the year policymakers are respon...

Quantifying Privacy Risks of Public Statistics to Residents of Subsidized Housing

As the U.S. Census Bureau implements its controversial new disclosure avoidance system, researcher...

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update.

To address the rapid evolution of artificial intelligence in medical imaging, the authors present th...

The sufficiency of disclosure of medical artificial intelligence patents.

Deliberate Problem-solving with a Large Language Model as a Brainstorm Aid Using a Checklist for Prompt Generation.

Large language models (LLMs) use autoregression to generate text in response to queries. Crafting an...

AI for Detection of Tuberculosis: Implications for Global Health.

Tuberculosis, which primarily affects developing countries, remains a significant global health conc...

Current Applications of Artificial Intelligence for Pediatric Dentistry: A Systematic Review and Meta-Analysis.

To systematically evaluate artificial intelligence applications for diagnostic and treatment planni...

Deep-KEDI: Deep learning-based zigzag generative adversarial network for encryption and decryption of medical images.

BACKGROUND: Medical imaging techniques have improved to the point where security has become a basic ...

Radiologist's Guide to Evaluating Publications of Clinical Research on AI: How We Do It.

Literacy in research studies of artificial intelligence (AI) has become an important skill for radio...

Disclosure of Artificial Intelligence/ChatGPT-Generated Manuscripts.

[Fostering Pharmacists to Succeed in a Drastically Changing Society].

In 2006, Japan's pharmaceutical science education was revised to a 6-year enrollment course, placing...

Surveys Aimed at General Citizens of the US and Japan About Their Attitudes Toward Electronic Medical Data Handling - 10 Years Change, Before and After Covid-19.

OBJECTIVES: To clarify the views of the general population of two countries (US and Japan), concerni...