Patient safety / Risk Management

State of the Art of Artificial Intelligence in Clinical Electrophysiology in 2025: A Scientific Statement of the European Heart Rhythm Association (EHRA) of the ESC, the Heart Rhythm Society (HRS), and the ESC Working Group on E-Cardiology.

AIMS: Artificial intelligence (AI) has the potential to transform cardiac electrophysiology (EP), pa...

Artificial Intelligence and Publishing Ethics: A Narrative Review and SWOT Analysis.

Artificial intelligence (AI), after surviving two major AI winters (1974-1980 and 1987-2000), is now...

Ethical risks in robot health education: A qualitative study.

BackgroundAs health education robots may potentially become a significant support force in nursing p...

Requirements for AI Development and Reporting for MRI Prostate Cancer Detection in Biopsy-Naive Men: PI-RADS Steering Committee, Version 1.0.

This document defines the key considerations for developing and reporting an artificial intelligence...

Disability services in higher education: Statistical disparities and the potential role of AI in bridging institutional gaps.

Disparities in disability services between two-year and four-year higher education institutions pose...

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 ...

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...

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...

Machine Learning Methods in Health Economics and Outcomes Research-The PALISADE Checklist: A Good Practices Report of an ISPOR Task Force.

Advances in machine learning (ML) and artificial intelligence offer tremendous potential benefits to...

Artificial intelligence and machine learning algorithms for early detection of skin cancer in community and primary care settings: a systematic review.

Skin cancers occur commonly worldwide. The prognosis and disease burden are highly dependent on the ...

Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology: CLEAR Derm Consensus Guidelines From the International Skin Imaging Collaboration Artificial Intelligence Working Group.

IMPORTANCE: The use of artificial intelligence (AI) is accelerating in all aspects of medicine and h...

Review of study reporting guidelines for clinical studies using artificial intelligence in healthcare.

High-quality research is essential in guiding evidence-based care, and should be reported in a way t...