AI Medical Compendium

Probabilistic risk assessment of heavy metals sources by integrating interpretable machine learning with receptor models.

Environmental pollution (Barking, Essex : 1987) May 26, 2026

Accurate source apportionment of heavy metals (HMs) in surface water and the development of a source-based risk assessment system is essential for formulating effective pollution mitigation strategies. However, the combined contamination patterns of ... read more

Next generation risk assessment and new approach methodologies for sustainable management of heavy metal contaminated environments: A critical review.

Environmental pollution (Barking, Essex : 1987) May 26, 2026

Environmental stability forms the foundation for sustaining healthy ecosystems and protecting human life, but the relentless accumulation of persistent heavy metals severely undermines both ecological integrity and public health. Accurate assessment ... read more

Predicting neoadjuvant breast cancer therapy response using BRIDGE from tumor transcriptomics and histopathology.

Annals of oncology : official journal of the European Society for Medical Oncology May 26, 2026

BACKGROUND: While expression-based signatures inform adjuvant therapy in breast cancer (BC), no approved molecular biomarkers exist for the neoadjuvant setting, where early response prediction could inform treatment decisions. This challenge is compo... read more

Deep Learning-Driven Intraoperative Assessment of Pulp Stumps for Precision Pulpotomy.

Journal of dentistry May 26, 2026

OBJECTIVES: To develop and validate an automated artificial intelligence (AI) assessment framework based on the self-supervised DINOv2 vision transformer architecture, which objectively classifies intraoperative pulp stump images as "suitable" or "un... read more

Generative AI-driven enzyme engineering unlocks sustainable valorization of broccoli waste into sulforaphane.

Bioresource technology May 26, 2026

Current production of sulforaphane (SFN), a health-promoting isothiocyanate, relies mainly on energy-intensive plant extraction or chemical synthesis, limiting sustainable large-scale manufacture. Here, a waste-to-value framework integrating generati... read more

Magnetic susceptibility source separation (χ-separation) in quantitative susceptibility mapping.

Magnetic resonance imaging May 26, 2026

Conventional quantitative susceptibility mapping (QSM) outputs a voxel-averaged value, frequently obscuring co-localized paramagnetic iron and diamagnetic myelin through phase cancellation. χ-separation resolves this ambiguity by disentangling sub-vo... read more

Synthetic phase image modulated by two-dimensional sinusoidal profile based on magnitude image using for magnetic resonance imaging reconstruction.

Magnetic resonance imaging May 26, 2026

BACKGROUND: Magnetic resonance imaging (MRI) is a complex-valued technique incorporating magnitude and phase information, with phase images critical for susceptibility-weighted imaging and quantitative susceptibility mapping yet often absent in recon... read more

AI in the EP Lab - Mapping, Imaging, and Signal Interpretation.

Indian pacing and electrophysiology journal May 26, 2026

Artificial intelligence (AI) is the use of computational models to learn from electrical, anatomical and imaging data to assist or automate interpretation, prediction and decision making in arrhythmia diagnosis and treatment. This includes interpreta... read more

Assessing the trustworthiness of health guidelines recommendations: the Transparent, Rigorous, Usable, Standardised and Trustworthy Guide (TRUSTGUIDES) tools development.

Journal of clinical epidemiology May 26, 2026

BACKGROUND: Health guidelines play a central role in informing clinical practice, public health measures and health policy. But their trustworthiness may be undermined by factors such as insufficient methodological rigour, lack of transparency, confl... read more

Examining the impact of artificial intelligence on physicians' performance: mediating effects of innovative work behavior and skills enhancement.

Journal of health organization and management May 26, 2026

PURPOSE: While prior studies have explored artificial intelligence (AI) adoption in various sectors, the specific impact on employee performance in healthcare organizations remains underexamined, particularly regarding the mediating roles of innovati... read more

Artificial Intelligence Medical Compendium