Medicolegal

Predicting drug release from diazepam FDM printed tablets using deep learning approach: Influence of process parameters and tablet surface/volume ratio.

The aim of this study was to apply artificial neural networks as deep learning tools in establishing...

Timely and Efficient AI Insights on EHR: System Design.

A patient's electronic health record (EHR) contains extensive documentation of the patient's medical...

Identification of Gout Flares in Chief Complaint Text Using Natural Language Processing.

Many patients with gout flares treated in the Emergency Department (ED) often do not receive optimal...

Facilitating information extraction without annotated data using unsupervised and positive-unlabeled learning.

Information extraction (IE), the distillation of specific information from unstructured data, is a c...

Deep learning in breast radiology: current progress and future directions.

This review provides an overview of current applications of deep learning methods within breast radi...

Development of artificial intelligence system for quality control of photo documentation in esophagogastroduodenoscopy.

BACKGROUND: Esophagogastroduodenoscopy (EGD) is generally a safe procedure, but adverse events often...

Nursing documentation of symptoms is associated with higher risk of emergency department visits and hospitalizations in homecare patients.

BACKGROUND: Nurses often document patient symptoms in narrative notes.

Automated age estimation of young individuals based on 3D knee MRI using deep learning.

Age estimation is a crucial element of forensic medicine to assess the chronological age of living i...

Fully automatic wound segmentation with deep convolutional neural networks.

Acute and chronic wounds have varying etiologies and are an economic burden to healthcare systems ar...

[Enhanced imaging in urological endoscopy].

White light cystoscopy and the concise documentation of pathological findings are standard diagnosti...

A Workflow for the Performance of the Differential Ovarian Follicle Count Using Deep Neuronal Networks.

In order to automate the counting of ovarian follicles required in multigeneration reproductive stud...

A Method to Improve Availability and Quality of Patient Race Data in an Electronic Health Record System.

BACKGROUND: Although federal regulations mandate documentation of structured race data according to ...

Medicolegal considerations of radiology report writing in the new pjmirodigm of artificial intelligence.

PredAmyl-MLP: Prediction of Amyloid Proteins Using Multilayer Perceptron.

Amyloid is generally an aggregate of insoluble fibrin; its abnormal deposition is the pathogenic mec...

How Much Can Potential Jurors Tell Us About Liability for Medical Artificial Intelligence?

Artificial intelligence in medicine: A matter of joy or concern?

Artificial Intelligence (AI), a concept which dates back to the 1950s, is increasingly being develop...

The Utility of Clinical Notes for Sexual Minority Health Research.

INTRODUCTION: Despite improvements in electronic medical record capability to collect data on sexual...

Bruise dating using deep learning.

The bruise dating can have important medicolegal implications in family violence and violence agains...

When Does Physician Use of AI Increase Liability?

An increasing number of automated and artificial intelligence (AI) systems make medical treatment re...

M3DISEEN: A novel machine learning approach for predicting the 3D printability of medicines.

Artificial intelligence (AI) has the potential to reshape pharmaceutical formulation development thr...

Artificial intelligence in medicine creates real risk management and litigation issues.

The next step in the evolution of electronic medical record (EMR) use is the integration of artifici...