Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 15,351 to 15,360 of 213,137 articles

Teaching Ethical AI Use in Graduate Nursing Programs: A Scaffolded Model for Professional Identity Formation.

The Journal of nursing education
BACKGROUND: Generative artificial intelligence (AI) has entered graduate nursing education faster than programs can respond, raising questions about professional identity formation, epistemic accountability, and academic integrity. METHOD: This conce... read more 

The role of AI-mediated metacognitive interventions in EFL writing development: A cross-sectional study of textual accuracy, lexical sophistication, and cohesion.

Acta psychologica
This paper examines the role of generative AI support in enhancing the quality of English-as-a-foreign-language (EFL) writing in Chinese higher education by enhancing the metacognitive control of the learners in real coursework. Based on self-regulat... read more 

Improved Prediction of Invasive Bacterial Infections in Febrile Infants Using Machine Learning.

Hospital pediatrics
BACKGROUND: Existing guidelines for febrile infants aged 8 to 60 days use clinical appearance, age, and laboratory test results to assess the risk of invasive bacterial infections (IBIs) with variable performance. This study aimed to (1) develop and ... read more 

A Simplified, Tier-Based Method for Clinical Evaluation of Diastolic Function.

European heart journal. Cardiovascular Imaging
Assessment of left ventricular diastolic function is inherently complex, yet it must be sufficiently simplified for consistent application in clinical practice. Interpretation is challenged by overlapping terminology, load dependence of hemodynamic v... read more 

End-user perspectives on the use of personal health information for AI development and the use of AI in care: an interview study.

Journal of primary health care
INTRODUCTION: The rapid advancement of artificial intelligence (AI) in health care necessitates that decision-makers consider end-user views on secondary data use and the application of AI in clinical settings. AIM: The aim of this study was to explo... read more 

Deep learning-driven performance prediction and design of high-DoF MEMS resonators.

Microsystems & nanoengineering
The design of microelectromechanical systems (MEMS) resonators has long been hindered by high computational costs and restricted structural degrees of freedom. This study introduces a structural design framework based on a residual network-enabled so... read more 

Immune Checkpoint Inhibitor-Associated Cardiovascular Toxicity: Mechanisms, Clinical Manifestations, and Clinical Impact.

Cardiovascular toxicology
Immune checkpoint inhibitors (ICIs) represent a class of novel anticancer agents that enhance T cell-mediated recognition and elimination of tumor cells by inhibiting immune checkpoints such as CTLA-4 and PD-1/PD-L1. These therapeutics are widely emp... read more 

Human Versus Nonhuman: Is There an App for That?

The American journal of forensic medicine and pathology
Artificial Intelligence (AI) has rapidly become a widespread technology, with many forms being freely accessible to anyone with internet access. Recently there has been an influx of digital applications, or apps, that claim to utilize the power of ge... read more 

A methodological framework for conducting diagnostic meta-analyses using large literature corpora.

BMC medical research methodology
BACKGROUND: The exponential growth of biomedical literature challenges the feasibility, reproducibility, and bias control of diagnostic meta-analyses based on manual screening. METHODS: We propose a scalable framework integrating automated topic mode... read more 

Cognitive differences and ethical concerns in artificial intelligence in healthcare: a comparative text mining study of public and healthcare professional discussions.

BMC medical ethics
BACKGROUND: This study aims to investigate the cognitive differences and ethical concerns regarding artificial intelligence in healthcare between the public and healthcare professionals and to provide empirical evidence for ethical governance and ris... read more