AI Medical Compendium

Doubly Adaptive Channel and Spatial Attention for Semantic Image Communication by IoT Devices

arXiv Feb 26, 2026

Internet of Things (IoT) networks face significant challenges such as limited communication bandwidth, constrained computational and energy resources, and highly dynamic wireless channel conditions. Utilization of deep neural networks (DNNs) combined... read more

Machine Learning

GSTurb: Gaussian Splatting for Atmospheric Turbulence Mitigation

arXiv Feb 26, 2026

Atmospheric turbulence causes significant image degradation due to pixel displacement (tilt) and blur, particularly in long-range imaging applications. In this paper, we propose a novel framework for atmospheric turbulence mitigation, GSTurb, which i... read more

Computer Vision and Pattern Recognition

Closing the Guideline Gap: AI and the Rise of Living Cardiovascular Recommendations.

JACC. Advances Feb 26, 2026

Exploring key risk factors for loss to follow-up after hospitalization for acute stroke.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Feb 26, 2026

BACKGROUND: A significant proportion of stroke patients are lost to follow-up (LTFU) after discharge, which may increase risks of morbidity, mortality, and unnecessary hospitalization. We aimed to identify predictors of post-discharge LTFU in acute s... read more

CXCL9 as a key feature for deep learning-based immune subtyping and prediction of immune checkpoint blockade response in triple-negative breast cancer.

International immunopharmacology Feb 26, 2026

BACKGROUND: Immune checkpoint blockade (ICB) therapy has provided a promising treatment option for patients with triple-negative breast cancer (TNBC). However, existing efficacy prediction strategies based on programmed death-ligand 1 (PD-L1) express... read more

Early hemodynamic phenotyping in sepsis using transthoracic echocardiography: A proof-of-concept study in a north African ICU.

Journal of critical care Feb 26, 2026

BACKGROUND: Cardiovascular dysfunction in sepsis is heterogeneous and contributes to poor outcomes. Hemodynamic phenotyping may delineate pathophysiologically distinct subgroups with implications for prognosis and individualized management. No studie... read more

De novo engineering of protein interactions: Retrospective and current advances.

Current opinion in structural biology Feb 26, 2026

New deep learning-based methods for modeling and generation of protein structures have opened a new chapter in the field of protein design, transforming many previously unattainable challenges into routine tasks. Protein-binder design, an important a... read more

Deep learning the droughts: Spatiotemporal monitoring of protracted dry conditions in Queensland, Australia.

The Science of the total environment Feb 26, 2026

Protracted droughts, defined as successive dry events occurring before full vegetation recovery, pose an emerging challenge to assessing ecosystem resilience. Conventional drought analyses often treat these events as isolated, overlooking the tempora... read more

Advances in air quality modeling through artificial intelligence, machine learning, and deep learning: A comprehensive review.

The Science of the total environment Feb 26, 2026

Air quality modeling is undergoing a significant transformation, as machine learning (ML) and deep learning (DL) emerge to address the inherent limitations of traditional methods, including statistical approaches and chemical transport models (CTMs).... read more

The big five model of teamwork and human autonomy teams: a scoping review.

Applied ergonomics Feb 26, 2026

Teams play a critical role in society and represent a key area for Human Factors and Ergonomics. Salas et al.'s Big Five model is widely cited; however, the increasing use of Human-Autonomy Teams (HATs) has fuelled debate over its continued relevance... read more

Artificial Intelligence Medical Compendium