AI Medical Compendium

Overview of Multimodal Radiomics and Deep Learning in the Prediction of Axillary Lymph Node Status in Breast Cancer.

Academic radiology Aug 18, 2025

Breast cancer is the most prevalent malignancy in women, with the status of axillary lymph nodes being a pivotal factor in treatment decision-making and prognostic evaluation. With the integration of deep learning algorithms, radiomics has become a t... read more

Development and validation of a machine learning model for prediction of cephalic dystocia.

BMC pregnancy and childbirth Aug 18, 2025

BACKGROUND: Early detection of cephalic dystocia is challenging, and current clinical assessment tools are limited. Machine learning offers unique advantages, enabling the generation of predictive models using various types of clinical data. Our mode... read more

Digital language measures capture episodic memory disruptions in people with human immunodeficiency virus: A machine learning study.

The Clinical neuropsychologist Aug 18, 2025

Human immunodeficiency virus (HIV) often affects episodic memory. Yet, standard measures of this domain are derived from clinicians' simple counts of recalled and omitted pieces of information, undermining robustness, informativeness, and scalabilit... read more

Co-Designing AI-Generated Vaping Awareness Materials With Adolescents and Young Adults: A Qualitative Study.

Drug and alcohol review Aug 18, 2025

INTRODUCTION: Developing mass meda campaigns to address rising youth vaping rates in Australia is timely and resource-intensive. Generative AI offers scalable content production, but little is known about youth perceptions of AI-generated multimedia ... read more

Fire susceptibility assessment in the Carpathians using an interpretable framework.

Scientific reports Aug 18, 2025

Climate change endangers the Carpathian region by increasing the risk of fires. In response, our study provides a harmonised dataset with twenty-seven variables and develops an interpretable machine learning-based framework for assessing fire suscept... read more

Structural equation modeling for influencing factors on behavioral intention to adopt medical AI among Chinese nurses: a nationwide cross-sectional study.

BMC nursing Aug 18, 2025

BACKGROUND: Artificial intelligence (AI) shows great potential to improve clinical nursing practices. However, concerns and challenges related to its implementation have led to resistance among nurses, hindering the widespread use of AI tools in heal... read more

Assessing the connectedness between green finance, financial developments, traditional energy consumption, economic growth, population aging and environmental degradation in RECP economies: A deep learning-based analysis.

Journal of environmental management Aug 18, 2025

Climate change is a global pressing issue that cannot tackle without curbing CO emissions, which are a major contributor to climate change. Therefore, this study investigates the influencing effect of green finance especially in renewable energy, fin... read more

Synergising Artificial Intelligence With Augmented Reality: Future Directions for Personalised Stroke Rehabilitation.

Journal of clinical nursing Aug 18, 2025

Genetic Rare Disease Prevention and Control: Family-Based Screening and Reproductive Interventions in Changsha.

HGG advances Aug 18, 2025

Rare diseases pose a significant public health challenge, particularly in underserved regions such as China, where genomic diagnostic services and post-diagnosis management remain limited. This study assessed the effectiveness of a rare disease scree... read more

Evaluating the performances of various machine-learning solutions to manage and utilize the interleukin-6 test requests.

Computers in biology and medicine Aug 18, 2025

OBJECTIVES: This study aims to develop and evaluate machine-learning (ML) models that can predict interleukin-6 (IL-6) test outcomes and support the management of inappropriate IL-6 test requests. read more

Artificial Intelligence Medical Compendium