AI Medical Compendium

Gen-GraphEx: Generative In-Distribution Graph Explanations for Time-Efficient Model-Level Interpretability of GNNs.

IEEE transactions on neural networks and learning systems Aug 18, 2025

Graph neural networks (GNNs) have become the prevailing methodology for addressing graph data-related tasks, permeating critical domains like recommendation systems and drug development. The necessity for trustworthiness and interpretability of GNNs ... read more

Real-time prediction of HFNC treatment failure in acute hypoxemic respiratory failure using machine learning.

Scientific reports Aug 18, 2025

Accurate and timely prediction of high-flow nasal cannula (HFNC) treatment failure in patients with acute hypoxemic respiratory failure (AHRF) can lower patient mortality. Previous studies have highlighted inconsistencies in the predictive performanc... read more

Advances in artificial intelligence and precision nutrition approaches to improve maternal and child health in low resource settings.

Nature communications Aug 18, 2025

Malnutrition continues to be a major threat to health, particularly maternal and child health in low resource settings, resulting in impairments in cognitive function, growth, and development, and metabolic diseases later in life. Nutritional assessm... read more

SynthAorta: A 3D Mesh Dataset of Parametrized Physiological Healthy Aortas.

IEEE transactions on medical imaging Aug 18, 2025

The effects of the aortic geometry on its mechanics and blood flow, and subsequently on aortic pathologies, remain largely unexplored. The main obstacle lies in obtaining patient-specific aorta models, an extremely difficult procedure in terms of eth... 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

Advancing deep learning-based segmentation for multiple lung cancer lesions in real-world multicenter CT scans.

European radiology experimental Aug 18, 2025

BACKGROUND: Accurate segmentation of lung cancer lesions in computed tomography (CT) is essential for precise diagnosis, personalized therapy planning, and treatment response assessment. While automatic segmentation of the primary lung lesion has bee... read more

Human augmentation to deliver an enhanced and resilient people capability for Defence.

BMJ military health Aug 18, 2025

From first tools, to flight, to advances in medicine and biotechnology, enhancing our innate abilities has been a constant goal and militaries the world over have long sought to advance the limits of human performance in their warfighters. Human augm... read more

AI and Machine Learning Terminology in Medicine, Psychology, and Social Sciences: Tutorial and Practical Recommendations.

Journal of medical Internet research Aug 18, 2025

Recent applications of artificial intelligence (AI) and machine learning in medicine, psychology, and social sciences have led to common terminological confusions. In this paper, we review emerging evidence from systematic reviews documenting widespr... read more

Assessing the transferability of BERT to patient safety: classifying multiple types of incident reports.

BMJ health & care informatics Aug 18, 2025

OBJECTIVE: To evaluate the transferability of BERT (Bidirectional Encoder Representations from Transformers) to patient safety, we use it to classify incident reports characterised by limited data and encompassing multiple imbalanced classes. read more

Humans Neural Networks, Computer Patient Safety Australia Risk Management Medical Errors

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

Artificial Intelligence Medical Compendium