Practice Management

Medicolegal

Latest AI and machine learning research in medicolegal for healthcare professionals.

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Information-Based Medicine in Glioma Patients: A Clinical Perspective.

Glioma constitutes the most common type of primary brain tumor with a dismal survival, often measure...

De facto diagnosis specialties: Recognition and discovery.

A medical specialty indicates the skills needed by health care providers to conduct key procedures o...

A portable structural analysis library for reaction networks.

The topology of a reaction network can have a significant influence on the network's dynamical prope...

Classification of Sputum Sounds Using Artificial Neural Network and Wavelet Transform.

Sputum sounds are biological signals used to evaluate the condition of sputum deposition in a respir...

Evaluating the Efficiency and Safety of Speech Recognition within a Commercial Electronic Health Record System: A Replication Study.

OBJECTIVE: To conduct a replication study to validate previously identified significant risks and in...

Decision Support Tools, Systems, and Artificial Intelligence in Cardiac Imaging.

Noninvasive cardiac imaging is widely used for the diagnosis and management of cardiac patients. The...

Antifibrotic effects of gallic acid on hepatic stellate cells: mechanistic study.

Few studies reported the antifibrotic effects of gallic acid (GA) despite its known hepatoprotective...

Electronic Surveillance For Catheter-Associated Urinary Tract Infection Using Natural Language Processing.

Catheter-associated urinary tract infection (CAUTI) is a common and costly healthcare-associated inf...

Representation of Social History Factors Across Age Groups: A Topic Analysis of Free-Text Social Documentation.

As individuals age, there is potential for dramatic changes in the social and behavioral determinant...

Open Globe Injury Patient Identification in Warfare Clinical Notes.

The aim of this study is to utilize the Defense and Veterans Eye Injury and Vision Registry clinical...

Machine Learning Methods to Extract Documentation of Breast Cancer Symptoms From Electronic Health Records.

CONTEXT: Clinicians document cancer patients' symptoms in free-text format within electronic health ...

Deep learning enables reduced gadolinium dose for contrast-enhanced brain MRI.

BACKGROUND: There are concerns over gadolinium deposition from gadolinium-based contrast agents (GBC...

Taxonomy of multi-focal nematode image stacks by a CNN based image fusion approach.

BACKGROUND AND OBJECTIVE: In the biomedical field, digital multi-focal images are very important for...

Validation of a novel automatic deposition of bacteria and yeasts on MALDI target for MALDI-TOF MS-based identification using MALDI Colonyst robot.

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) -based i...

Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images.

Pathological evaluation of tumor tissue is pivotal for diagnosis in cancer patients and automated im...

Classifying clinical notes with pain assessment using machine learning.

Pain is a significant public health problem, affecting millions of people in the USA. Evidence has h...

Aerosol delivery during spontaneous breathing with different types of nebulizers- in vitro/ex vivo models evaluation.

BACKGROUND: Nebulizers for spontaneous breathing have been evaluated through different study designs...

Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm.

Background and Objective Fatty Liver Disease (FLD) - a disease caused by deposition of fat in liver ...

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