AI Medical Compendium Journal:
Frontiers in medicine

Showing 1 to 10 of 95 articles

Medical short text classification via Soft Prompt-tuning.

Frontiers in medicine
In recent decades, medical short texts, such as medical conversations and online medical inquiries, have garnered significant attention and research. The advances in the medical short text have profound implications in practical applications, particu...

GPT-4's capabilities for formative and summative assessments in Norwegian medicine exams-an intrinsic case study in the early phase of intervention.

Frontiers in medicine
The growing integration of artificial intelligence (AI) in education has paved the way for innovative assessment methods. This study explores the capabilities of GPT-4, which is a large language model (LLM), on a medicine exam and for formative and s...

Construction of a risk screening and visualization system for pulmonary nodule in physical examination population based on feature self-recognition machine learning model.

Frontiers in medicine
OBJECTIVE: To assess the effectiveness of a feature self-recognition machine learning model in screening for pulmonary nodule risk in a physical examination population and to evaluate the constructed visualization system.

Artificial intelligence in healthcare education: evaluating the accuracy of ChatGPT, Copilot, and Google Gemini in cardiovascular pharmacology.

Frontiers in medicine
BACKGROUND: Artificial intelligence (AI) is revolutionizing medical education; however, its limitations remain underexplored. This study evaluated the accuracy of three generative AI tools-ChatGPT-4, Copilot, and Google Gemini-in answering multiple-c...

A guide to prompt design: foundations and applications for healthcare simulationists.

Frontiers in medicine
Large Language Models (LLMs) like ChatGPT, Gemini, and Claude gain traction in healthcare simulation; this paper offers simulationists a practical guide to effective prompt design. Grounded in a structured literature review and iterative prompt testi...

Recalibrating the kidney failure risk equation for a Mediterranean European population: reducing age and sex inequality.

Frontiers in medicine
INTRODUCTION: Chronic kidney disease (CKD) patients may develop kidney failure (KF), receiving renal replacement therapy (RRT) in some cases. The Kidney Failure Risk Equation (KFRE-4), predicting RRT risk, is widely validated but not in a primary car...

Diagnosis and detection of bone fracture in radiographic images using deep learning approaches.

Frontiers in medicine
INTRODUCTION: Bones are a fundamental component of human anatomy, enabling movement and support. Bone fractures are prevalent in the human body, and their accurate diagnosis is crucial in medical practice. In response to this challenge, researchers h...

Machine learning prediction models for mortality risk in sepsis-associated acute kidney injury: evaluating early versus late CRRT initiation.

Frontiers in medicine
BACKGROUND: Sepsis-associated acute kidney injury (S-AKI) has a significant impact on patient survival, with continuous renal replacement therapy (CRRT) being a crucial intervention. However, the optimal timing for CRRT initiation remains controversi...

Serum decorin and biglycan levels as predictive biomarkers for lung fibrosis severity and mortality risk in COVID-19 patients.

Frontiers in medicine
INTRODUCTION: Individuals experiencing severe symptoms of COVID-19 are at the greatest risk of developing post-COVID lung fibrosis, which significantly impacts long-term health outcomes. This study aims to investigate the predictive potential of seru...

Neurological history both twinned and queried by generative artificial intelligence.

Frontiers in medicine
BACKGROUND AND OBJECTIVES: We propose the use of GPT-4 to facilitate initial history-taking in neurology and other medical specialties. A large language model (LLM) could be utilized as a digital twin which could enhance queryable electronic medical ...