AI Medical Compendium

Artificial Intelligence and Machine Learning Applications in Fibromuscular Dysplasia: Transforming Diagnosis, Risk Stratification, and Clinical Decision-Making.

Journal of cardiovascular translational research Mar 6, 2026

Fibromuscular dysplasia (FMD) is a non-atherosclerotic vascular disorder with heterogeneous presentations, making diagnosis and management highly dependent on imaging and clinical expertise. This narrative review examines how artificial intelligence ... read more

Artificial intelligence for venous thromboembolism risk stratification in surgical patients: a systematic review.

Journal of thrombosis and thrombolysis Mar 6, 2026

Venous thromboembolism (VTE), including deep vein thrombosis (DVT) and pulmonary embolism (PE), is a significant complication in surgical patients. Artificial intelligence (AI) and machine learning (ML) may enhance VTE risk stratification by leveragi... read more

Clinical development of molecular residual disease (MRD) and multi-cancer early detection (MCED) using liquid biopsy multiomics with artificial intelligence (AI).

International journal of clinical oncology Mar 6, 2026

BACKGROUND: Early detection of cancer and precise recurrence monitoring remain major unmet needs in oncology. Conventional screening is limited to a few cancer types, leaving nearly half of cancers without established programs. Multi-cancer early det... read more

Global, regional, and national burden of Clostridioides difficile infection (1990-2021) with projections to 2051: A multimodal analysis integrating machine learning (SHAP-XGBoost) and GBD 2021 data.

European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology Mar 6, 2026

Environmental fate, biodegradation pathways, and phytotoxicological risks of biopolymer-based packaging: a critical review.

Environmental science and pollution research international Mar 6, 2026

Biopolymer-based packaging has been widely promoted as a sustainable alternative to conventional plastics. However, biodegradability claims are often supported by incomplete assessments that prioritize disintegration or weight loss over actual minera... read more

Interpretable machine learning assisted optimization of antimony adsorption by metal-organic frameworks: combined with characterization methods for adsorption mechanism analysis.

Environmental science and pollution research international Mar 6, 2026

Antimony (Sb) contamination in aquatic environments poses serious risks to human health and ecosystem integrity. Conventional remediation techniques for Sb pollution, however, are constrained by inherent limitations, including prolonged treatment dur... read more

SpatioFreq: A Deep Learning Framework for Decoding Cellular and Tissue Landscapes Across Organisms Using Spatial Transcriptomics.

Interdisciplinary sciences, computational life sciences Mar 6, 2026

Traditional spatial transcriptomics methods typically rely on the direct relationship between spatial location and gene expression data, but they often fail to capture the intricate structures embedded in spatial data. To address this limitation, we ... read more

A Novel Approach to Overseeing the Clinical Application of Generative AI.

JAMA health forum Mar 6, 2026

Are AI Tools Ready to Answer Patients' Questions About Their Medical Care?

JAMA Mar 6, 2026

Machine Learning Accelerated Design of Self-Assembled Monolayers for High-Performance Perovskite Solar Cells.

The journal of physical chemistry letters Mar 6, 2026

Self-assembled monolayers (SAMs) have emerged as a new generation of hole transport materials (HTMs) for perovskite solar cells (PSCs), particularly in inverted architectures. Compared to conventional HTMs, SAMs demonstrate superior power conversion ... read more

Artificial Intelligence Medical Compendium