AI Medical Compendium

Clinical document metadata extraction: A scoping review.

Journal of biomedical informatics Apr 22, 2026

OBJECTIVES: Clinical document metadata, such as document type, structure, author role, medical specialty, and encounter setting, is essential for accurate interpretation of information captured in clinical documents. However, vast documentation heter... read more

High-quality data selection-driven instruction tuning for biomedical large language models.

Journal of biomedical informatics Apr 22, 2026

This study presents a novel data selection framework for enhancing the training efficiency of large language models (LLMs) in biomedical natural language processing (NLP) tasks. We focus on critical tasks sourced from the biomedical dataset, encompas... read more

Time-of-flight secondary ion mass spectrometry research advances from a effective bibliometric method.

Analytical biochemistry Apr 22, 2026

Due to the ability for high-resolution molecular imaging and chemical analysis with spatial resolution, time-of-flight secondary ion mass spectrometry (TOF-SIMS) is an extremely powerful surface analysis technique that is commonly used for chemical a... read more

Deep learning-enabled ratiometric signal transduction for portable and intelligent colorimetric LAMP biosensing of Vibrio vulnificus.

Analytical biochemistry Apr 22, 2026

Vibrio vulnificus is a highly lethal zoonotic pathogen associated with seafood consumption and aquaculture environments, demanding rapid and reliable on-site molecular diagnostics. Here, we report an intelligent biosensing platform utilizing a deep l... read more

Integration of AHRR methylation, heavy metals, and clinical characteristics for urothelial carcinoma risk stratification: An explainable artificial intelligence approach.

Environmental pollution (Barking, Essex : 1987) Apr 22, 2026

The short metabolic half-life of conventional tobacco biomarkers often limits their ability to reflect cumulative toxicological damage, which may complicate risk stratification for urothelial carcinoma (UC). This study explored an explainable artific... read more

Engineering brain-penetrant PROTACs: Bridging molecular design and CNS delivery.

Advanced drug delivery reviews Apr 22, 2026

The drug development for central nervous system (CNS) disorders, particularly neurodegenerative diseases, such as Alzheimer's disease, Parkinson's disease, and Huntington's disease, faces formidable challenges. While proteolysis-targeting chimeras (P... read more

Knowledge, Attitudes, and Training Needs for AI in Primary Care: National Survey Study of Clinicians in the Veterans Health Administration.

JMIR formative research Apr 22, 2026

BACKGROUND: Clinicians are the interface between artificial intelligence (AI) applications and patient care. To maximize benefits and minimize risks of AI, clinicians must be "AI-ready"-that is, willing and able to understand, evaluate, and appropria... read more

An Interpretable Machine-Learning Model for Predicting Occult Central Lymph Node Metastasis in Papillary Thyroid Cancer.

The Journal of clinical endocrinology and metabolism Apr 22, 2026

CONTEXT: Accurate preoperative prediction of occult lymph node metastasis (OLNM) in clinically lymph node negative (cN0) papillary thyroid carcinoma (PTC) is critical for optimizing therapeutic strategy, particularly for thermal ablation and active s... read more

Graves' disease: a new era of pathophysiology-guided therapeutics.

The Journal of clinical endocrinology and metabolism Apr 22, 2026

Graves' disease (GD) is an autoimmune entity that had an unchanged treatment paradigm for more than half a century with radioactive iodine, antithyroid drugs (ATDs), and surgery representing the mainstay of therapy, with variation in their use over t... read more

Attitudes, Needs, and Expectations Regarding the Application of AI in Occupational Healthcare: A Multiple Stakeholder Perspective.

Journal of occupational and environmental medicine Apr 21, 2026

OBJECTIVE: The aim of the study was to explore attitudes, needs, and expectations of employees, employers, and occupational health professionals regarding the application of AI in occupational healthcare. METHODS: Twenty-three semistructured intervie... read more

Artificial Intelligence Medical Compendium