Practice Management

Transferability of a US claims-based machine learning model for ATTRwt-CM identification: a retrospective evaluation in a German setting.

Cardiac amyloidosis (CA), a fatal and progressive cardiomyopathy is characterized by amyloid deposition within the myocardium. The main forms of CA include transthyretin amyloidosis (ATTR-CM; distinguished into a hereditary and wildtype form [ATTRv and ATTRwt]) and light-chain amyloidosis (AL). Transthyretin amyloidosis with cardiomyopathy (ATTR-CM) is increasingly recognized among heart failure (...

Integrating Confidence, Difficulty, and Language Model Calibration for Better Explainability in Clinical Documents Coding: Applications of AI.

BACKGROUND: In recent years, there has been increasing interest in developing machine and deep learning models capable of annotating clinical documents with semantically relevant labels. However, the complex nature of these models often leads to significant challenges regarding interpretability and transparency. OBJECTIVE: This study aims to improve the interpretability of transformer models and e...

FDA-authorized oncology artificial intelligence and machine learning devices and their clinical evidence: A cross-sectional analysis.

BACKGROUND: Artificial intelligence (AI) and machine learning (ML) tools are increasingly embedded in cancer care, yet the scope of U.S. Food and Drug...

Dental Provider Experiences with AI Radiograph Annotation: A Qualitative Case Study.

INTRODUCTION: The use of artificial intelligence (AI) tools to aid in dental diagnosis, treatment planning, and education is rapidly growing in oral h...

World Health Organization classification of tumours of the breast 6th edition 2026.

The 6th edition of the WHO Classification of Breast Tumours introduces both major and minor changes based on recent advances in our understanding of b...

The role of social media influencer promotion in initiation and use of cigar, little cigar, cigarillo, and cannabis products among US youth and young adults: Using exogenous marketing exposure measures.

BACKGROUND: Influencer marketing on social media is a powerful, yet under-examined, driver of youth and young adult substance use. Yet, reliably ident...

Diplomatic roles of regional coordinators for WHO Member States.

OBJECTIVE: To examine the coordination functions, decision-making processes and consensus-building strategies of World Health Organization (WHO) regio...

Explainable machine learning for predicting infections that require hospitalization in patients with systemic lupus erythematosus.

OBJECTIVES: To develop and validate an explainable artificial intelligence (XAI)-based machine learning (ML) model for predicting infections requiring...

Generative artificial intelligence-driven chatbots and medical misinformation: an accuracy, referencing and readability audit.

OBJECTIVES: Artificial intelligence (AI)-driven chatbots have been rapidly adopted across research, education, business, marketing and medicine. Most ...

Developing and Validating a Coding Scheme for Clinical Reasoning in History Taking Using Generative AI-Based Virtual Patients: Systematic Text Condensation Approach.

BACKGROUND: Effective history taking helps clinicians identify key symptoms and form accurate hypotheses. Generative artificial intelligence (GenAI)-b...

Using Machine Learning to Improve Screening for Oropharyngeal Dysphagia in Hospitalized Versus Primary Care Adult Patients With COVID-19 Disease: Retrospective Observational Study.

BACKGROUND: Oropharyngeal dysphagia (OD) commonly occurs in patients with COVID-19 disease, posing diagnostic challenges due to isolation protocols. O...

Whole-Genome Deep Learning Predicts Chemotherapy Response in Colorectal Cancer.

Chemotherapy response in colorectal cancer (CRC) exhibits significant heterogeneity, with current clinical predictors failing to capture complex genom...

Facilitators and barriers of research engagement in a large teaching hospital in the Netherlands: a narrative reflection.

BACKGROUND: Healthcare organisations are facing major challenges, including workforce shortages, rising costs, and an aging population. Research engag...

AI-First, Expert-Verified: Validating Generative AI for HFACS-Based Coding of Healthcare RCA Transcripts with Governance Considerations.

BACKGROUND: Root Cause Analysis (RCA) is widely used in healthcare incident investigation, but its outputs can be limited by inconsistent causal frami...

Advanced Polymeric Physical Unclonable Functions: From Mechanistic Design and Computer Vision to Enhanced Effect of Stimuli.

Commodity fraud is a serious issue leading to significant financial losses for producers, marketers, and consumers. The past anticounterfeiting and se...

Comparison of Artificial Intelligence Tools With Human Coding for Sentiment, Topic, and Thematic Analysis Tasks of Public Health Datasets During the COVID-19 Pandemic in Australia: Case Study.

BACKGROUND: Public opinion, which may be influenced by personal experiences, news, and social media, can impact compliance with public health measures...

Implicit Generative Modeling by Kernel Similarity Matching.

Understanding how the brain encodes stimuli has been a fundamental problem in computational neuroscience. Insights into this problem have led to the d...

AI-Assisted Rapid Quality Analysis in Implementation Science: Methodological Study.

BACKGROUND: Translating evidence-based therapies from "bench to bedside" remains challenging, and implementation science (IS) experts are crucial for ...

Factors Influencing Universal Coverage of AI-Assisted Cervical Cancer Screening: Qualitative Study Based on the Macro Model of Health System.

BACKGROUND: Improving screening coverage is a central goal of the global strategy to eliminate cervical cancer. In resource-constrained settings, insu...

BD-KDD: A real-world clinical dataset for kidney disease diagnosis and healthy classification.

Kidney disease is a major global health concern that requires timely diagnosis and effective monitoring to prevent severe complications and improve pa...