AI Medical Compendium

KANEx: Translating Kolmogorov-Arnold Networks' Interpretability to Medical Explainability

arXiv Jul 27, 2026

Computer vision models have become highly effective for medical applications, yet their black-box nature continues to undermine clinician trust. In clinical workflows, chest X-ray classifiers are increasingly paired with Vision-Language Models (VLMs)... read more

Computer Vision and Pattern Recognition cs.AI

Diagnostic performance of ¹⁸F-FDG PET/CT radiomics-based machine learning models for pancreatic lesion characterisation: Comparison with visual assessment and evaluation of human-radiomics synergy.

European journal of nuclear medicine and molecular imaging Jul 27, 2026

PURPOSE: We aimed to evaluate the diagnostic performance of ¹⁸F-FDG PET/CT-derived radiomics-based machine learning models for differentiating malignant from benign pancreatic lesions, to compare these models with two sequential stages of visual asse... read more

Computed tomography body composition-based prediction of postoperative quality of life in non-small cell lung cancer patients.

Biomedizinische Technik. Biomedical engineering Jul 28, 2026

OBJECTIVES: This paper aims to design an explainable machine learning model capable of predicting postoperative quality of life in elderly NSCLC patients by integrating CT derived body composition metrics with standard clinical indicators. METHODS: A... read more

Topology-directed optimization of block copolymer architecture for self-assembly into spherical vesicles using machine learning.

The Journal of chemical physics Jul 28, 2026

Amphiphilic block copolymers are a promising class of macromolecules used for creating new functional containers for delivering active agents into the cells. The diversity of these macromolecules' architectures allows for the selection of the necessa... read more

Video-based artificial intelligence for automated neonatal respiratory monitoring.

European journal of pediatrics Jul 28, 2026

UNLABELLED: Neonatal respiratory monitoring is essential for the early detection of clinical alterations, especially in preterm newborns. Conventional methods are limited by subjectivity and the use of contact sensors. This experimental technological... read more

A universal model for predicting the stability of complexes with rare earths and trivalent actinides.

The Journal of chemical physics Jul 28, 2026

Despite significant interest in rare earth and actinide complexes, experimental characterization is challenging due to element scarcity, cost, and safety requirements, while accurate quantum chemical modeling remains computationally intractable for r... read more

Dynamic prediction of cardiovascular risk from linked primary care records in New South Wales, Australia: protocol for a retrospective prognostic modelling study.

BMJ open Jul 27, 2026

INTRODUCTION: Cardiovascular disease (CVD) remains a leading cause of preventable morbidity and mortality. Most existing CVD prediction tools use a baseline survival modelling framework, in which each predictor is represented by a single value record... read more

AI-driven discovery of multifunctional peptides: From sequence space to therapeutics.

Biotechnology advances Jul 27, 2026

Multifunctional peptides (MFPs), defined as single peptide sequences endowed with two or more biological activities, have emerged as a highly promising class of therapeutic candidates for the intervention of complex and multifactorial diseases. Never... read more

Explainable deep learning for early sepsis detection from ICU time-series data using XAI techniques.

Scientific reports Jul 27, 2026

Sepsis is one of the most deadly illnesses with a high risk of mortality. Consequently, identifying it at the beginning of illness symptoms is crucial and plays a key role in improving patient outcomes. This study presents a customized solution for t... read more

Optimising the breast radiotherapy planning pathway: a quality improvement project at a regional cancer centre.

BMJ open quality Jul 27, 2026

At the South West Wales Cancer Centre, breast radiotherapy accounts for 24% of the radiotherapy workload. In 2021, only 16% of patients started treatment within 14 days compared with the Welsh time-to-radiotherapy quality metric target of 80%. Delays... read more

Artificial Intelligence Medical Compendium