AI Medical Compendium

The "State of the Art" in MR Image Reconstruction? Knowledge, Culture, and What We Leave Behind in An Era of Big Data and Machine Learning.

Magnetic resonance in medicine Apr 10, 2026

[Not Available].

Vertex (Buenos Aires, Argentina) Apr 10, 2026

Carta de lectores relacionada al artículo de Guevara Tirado que lleva por título "Síntomas depresivos del cuestionario PHQ-9 asociados a ideación suicida mediante algoritmos de aprendizaje automático en la población peruana" (Guevara Tirado, 2025). R... read more

Predicting blood levels of mercury and selenium in Amazonian riverines: A machine learning approach based on questionnaire data.

Chemosphere Apr 10, 2026

This study aims to develop and evaluate machine learning models to predict blood levels of mercury and selenium in Brazilian riverines. Blood samples were collected from 1031 participants and analyzed for mercury and selenium concentrations. For data... read more

Calcined coal gangue-derived Mg- and Ca-based layered double hydroxides for Cr(VI) soil remediation: Experiments and machine learning.

Chemosphere Apr 10, 2026

Layered double hydroxides (LDHs), including magnesium-aluminum-type (Mg-C-LDH) and calcium-aluminum-type (Ca-C-LDH), were synthesized from coal gangue and calcined at 500 °C to form layered double oxides (LDOs). Both materials exhibited effective Cr(... read more

Feasibility of using geometry-based synthetic dose distributions for Knowledge-based planning model training.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Apr 10, 2026

BACKGROUND: Knowledge-based planning (KBP) tools rely on large datasets of clinical plans, which are often difficult to collect, particularly in new or resource-limited centers. This study evaluates whether geometry-based synthetic dose distributions... read more

Enhancing Readability of Surgical Patient Education Resources Using ChatGPT.

The Journal of surgical research Apr 10, 2026

INTRODUCTION: Patient education materials are essential for informed decision-making. However, their readability often exceeds the sixth-grade reading level recommended by the American Medical Association, creating barriers for patients with limited ... read more

Authors reply: "From promise to practice: A roadmap for artificial intelligence in critical care".

Journal of critical care Apr 10, 2026

Disclosing microbial nitrogen metabolism in groundwater via automated machine learning-based analysis: A fluorescence information-based approach.

Journal of environmental management Apr 10, 2026

Microbial nitrogen metabolism represents a complex and pivotal process underpinning nitrogen pollution in groundwater. Nonetheless, its accurate prediction is often impeded by the limited effectiveness of conventional water quality parameters as reli... read more

Integrated machine learning and experimental validation reveal S6K2 as a key target of 6PPD-quinone in bladder cancer.

Ecotoxicology and environmental safety Apr 10, 2026

Tire and Road Wear Particles (TRWP) are pervasive environmental contaminants, yet the molecular mechanisms linking their toxic derivative, 6PPD-quinone (6PPD-Q), to bladder cancer (BLCA) progression remain obscure. This study integrates network toxic... read more

AI-driven fungicide design: From target identification to field application.

Plant communications Apr 10, 2026

Plant pathogenic fungi severely threaten global agriculture, causing substantial yield losses in staple crops and endangering food safety through mycotoxin contamination. Conventional fungicide development suffers from high costs, lengthy timelines, ... read more

Artificial Intelligence Medical Compendium