AI Medical Compendium

GraFSyn: An Interpretable Deep Learning Framework for Anticancer Drug Synergy via Graphlet Fingerprints.

Journal of chemical information and modeling May 29, 2026

Predicting drug synergy is important for accelerating the discovery of effective anticancer combination therapies. Synergy intrinsically depends on the precise interactions of key chemical substructures within specific cellular environments. However,... read more

The Role of Multimodal Generative AI in Older Adults' Health Management: Systematic Scoping Review.

JMIR AI May 29, 2026

BACKGROUND: The issue of population aging has emerged as a critical global challenge, driving the imperative for effective self-care and scalable health management solutions for older adults. Against the backdrop of the accelerating application of ge... read more

Evaluation of artificial intelligence-based cephalometric analysis compared to the manual method.

Progress in orthodontics May 29, 2026

BACKGROUND: The application of artificial intelligence (AI) to cephalometry has aroused growing interest due to its potential to optimize clinical workflows and improve efficiency. This study aimed to compare the differences and reproducibility of ce... read more

M-Tune: imbalanced data handling in machine learning by tuning the decision threshold.

Molecular diversity May 29, 2026

Overprediction of the majority class and poor predictive performance are the major issues when training machine learning classifiers with imbalanced data. This eventually leads to a larger misclassification rate and bias towards the majority class. T... read more

Innovative strategies for early detection of cardiotoxicity: artificial intelligence and multi-modality collaborative models.

Journal of thrombosis and thrombolysis May 29, 2026

Cancer therapeutics account for a significant proportion of new drug development, reflecting advances in diagnosis, treatment, and disease control. However, with this trend comes a responsibility to ensure patient safety both in the near term and ove... read more

Towards an accessible, centralised, searchable database for AI courses in Europe: the Artificial Intelligence in Medical Imaging and Radiation Oncology Education (AIMIROE) project.

European radiology experimental May 29, 2026

OBJECTIVE: Artificial intelligence (AI) is transforming medical imaging and radiation oncology, yet limited understanding and access to education hinder adoption. This study, led by the European Society of Medical Imaging Informatics (EuSoMII) in col... read more

Validation of an automated AI-based micro-CT organ segmentation workflow against expert annotations and its impact on fluorescence quantification.

European radiology experimental May 29, 2026

OBJECTIVE: Automated, artificial intelligence (AI)-based, organ segmentation has the potential to streamline preclinical imaging workflows, but its suitability must be evaluated not only by geometric accuracy, but also by impact on downstream quantit... read more

Explainable machine learning for estimation of elevated left ventricular filling pressure: a multicenter validation.

Journal of echocardiography May 29, 2026

BACKGROUND: Guideline-recommended algorithms (GL-algorithm) often results in indeterminate left ventricular filling pressure (LVFP). Despite high accuracy, machine learning (ML) methods lack interpretability, which necessitates the development of exp... read more

Turning failure into success: how artificial intelligence can help personalize therapies and re-use patient data.

Purinergic signalling May 29, 2026

Despite robust preclinical evidence, many clinical trials, including several that targeted the purinergic system, fail to demonstrate efficacy in humans. Failure may stem from inability to accurately identify patient subgroups responding similarly to... read more

An integrated computational-experimental approach identifies Malate Synthase G as therapeutic target to disrupt carbon metabolism in chronic Pseudomonas aeruginosa infection.

Functional & integrative genomics May 29, 2026

Pseudomonas aeruginosa is a leading cause of nosocomial infections, particularly in individuals with a compromised immune system. Due to its strong adaptive ability, P. aeruginosa tends to develop antibiotic resistance and establish chronic infection... read more

Artificial Intelligence Medical Compendium