AI Medical Compendium

Automatic localization of cross sections corresponding to standard transesophageal echocardiographic views on computed tomography volume.

Biomedical physics & engineering express Mar 3, 2026

Aims: Preoperative observation of computed tomography (CT) cross sections corresponding to standard transesophageal echocardiographic (TEE) views is useful for treatments using TEE. However, manually locating those CT cross sections from the CT volum... read more

Sector Classification of Unerupted Maxillary Canines: A Deep Learning-Based Automated Framework Using Panoramic Radiographs.

Orthodontics & craniofacial research Mar 3, 2026

OBJECTIVES: To develop a deep learning-based framework to automate sector classification of unerupted maxillary canines (UMCs), assessing its accuracy and reliability compared to human ones. MATERIAL AND METHODS: One thousand five hundred twenty-eigh... read more

Evolving Analytical Techniques for the Determination of Benzocaine and Its Metabolites: A Critical Review.

Critical reviews in analytical chemistry Mar 3, 2026

Benzocaine (BC) (ethyl 4-aminobenzoate) is an ester-type local anesthetic extensively used in topical, oral, and dermatological formulations for rapid, localized pain relief. Despite its widespread application, accurate quantification remains challen... read more

In-Hospital Mortality Prediction of Patients Requiring Extracorporeal Membrane Oxygenation Using Composite Lactate Metrics and Weight of Evidence Modeling.

Journal of the American College of Surgeons Mar 3, 2026

BACKGROUND: Mortality prognostication in adult patients requiring extracorporeal membrane oxygenation (ECMO) is not accurate or established. We hypothesized that composite lactate-based metrics and machine-learning (ML) models would improve in-hospit... read more

Beyond BMI: Deep Learning Segmentation-Driven CT Reveals Body Composition Changes After Metabolic and Bariatric Surgery.

Journal of the American College of Surgeons Mar 3, 2026

BACKGROUND: Body mass index (BMI) is the primary metric used to evaluate metabolic and bariatric surgery (MBS) outcomes but does not distinguish tissue compartments or quantify visceral adiposity (VAT), a key determinant of cardiometabolic risk. We e... read more

Robot-Related Workers' Compensation Claims in Ohio, 2001-2020.

American journal of industrial medicine Mar 3, 2026

BACKGROUND: Increased robot adoption and advancements in robotics have led to the emergence of robotic arms for collaborative applications that work alongside humans, increasing direct human-robot interaction. This shift highlights the need to addres... read more

The role of ionotropic glutamate receptors in Alzheimer's disease: A scientometric analysis.

Journal of Alzheimer's disease : JAD Mar 3, 2026

BackgroundAlzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by amyloid-β plaques, neurofibrillary tangles, and synaptic dysfunction. Dysregulation of ionotropic glutamate receptors (iGluRs), including NMDA, AMPA, and ... read more

An optimized machine learning model based on hematological indicators for the noninvasive identification of baicalin's therapeutic effects in pulmonary hypertension.

Computer methods in biomechanics and biomedical engineering Mar 3, 2026

Pulmonary hypertension (PH) is a progressive cardiopulmonary disorder with high mortality, necessitating non-invasive methods for early detection and treatment evaluation. In this paper, this study proposes a novel machine learning model for non-inva... read more

Active Learning of Anharmonic Phonon Transport Across Carbon Allotropes.

The journal of physical chemistry letters Mar 3, 2026

Machine-learning potentials (MLPs) face significant challenges in sampling anharmonic lattice dynamics due to computational bottlenecks. This work presents an active learning (AL) framework that integrates pretrained potentials with committee models ... read more

Fundamental understanding of electrochemical energy storage devices via in situ or operando characterization.

Chemical Society reviews Mar 3, 2026

The importance of mechanistic studies in the field of energy storage cannot be understated. Electrochemical characterization alone cannot provide a comprehensive picture of processes affecting the performance, longevity and safety of electrochemical ... read more

Artificial Intelligence Medical Compendium