AI Medical Compendium

Trusted Multi-View Learning under Noisy Supervision.

IEEE transactions on pattern analysis and machine intelligence May 5, 2026

Multi-view learning methods often focus on improving decision accuracy while neglecting the decision uncertainty, which significantly restricts their applications in safety-critical scenarios. To address this, trusted multi-view learning methods esti... read more

Medical Knowledge-Driven Contrastive Learning for Similar Patient Retrieval.

IEEE journal of biomedical and health informatics May 5, 2026

Similar patient retrieval is a fundamental task in medical informatics, aiming to identify patients with similar clinical characteristics to assist in diagnosis and treatment plan recommendation. While traditional methods relying on lexical features ... read more

Technological impact, generality, and complementarity of artificial intelligence patents: Evidence from Samsung Electronics.

PloS one May 5, 2026

This study examines the extent to which artificial intelligence (AI) technologies are more pervasive and technologically complementary than non-AI technologies. Drawing on the literature on general purpose technologies (GPTs), we hypothesize that AI ... read more

A hybrid deep-learning-architecture for identifying cotton content in fabric materials.

PloS one May 5, 2026

Recycling plays a crucial role in achieving sustainable production. In particular, automating sorting processes holds great promise for enhancing both the efficiency and economic feasibility of the recycling industry. One challenge within this contex... read more

Application of machine learning with MALDI-TOF MS for rapid differentiation between methicillin-susceptible and methicillin-resistant Staphylococcus aureus.

PLoS computational biology May 5, 2026

BACKGROUND: Application of machine learning with matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry may allow rapid differentiation between methicillin-susceptible (MSSA) and methicillin-resistant Staphylococcus ... read more

Early identification of high-risk individuals for mortality after lung transplantation: A retrospective cohort study with topological feature engineering.

PLOS digital health May 5, 2026

Lung transplantation remains the only definitive treatment for end-stage respiratory failure; however, it has substantial post-operative mortality risk. Current methods like the Lung Transplant Risk Index offer limited predictive performance. This st... read more

Machine learning approaches in predicting circadian rhythm sleep-wake disorders: A review.

Chronobiology international May 5, 2026

Circadian rhythm sleep-wake disorders (CRSWDs) arise from misalignment between an individual's sleep-wake timing and endogenous circadian physiology, with substantial consequences for sleep health and overall well-being. In the era of sleep-omics and... read more

Learning Drug Synergy through Environment-Conditioned Feature Modulation.

Bioinformatics (Oxford, England) May 5, 2026

MOTIVATION: Drug combinations are crucial for overcoming resistance in cancer therapy. Although deep learning has achieved strong performance in synergy prediction, existing models often treat cell-specific features and paired drugs as a static backg... read more

Identifying factors associated with vaping cessation in young adults: A machine learning and XAI approach.

PLOS digital health May 5, 2026

The public health impact of vaping in the United States reflects a complex balance of potential benefits and emerging risks, as e‑cigarettes may reduce exposure to toxic combustion byproducts and support adult smoking cessation, yet growing evidence ... read more

Learning Protein Representations with Conformational Dynamics.