Medicolegal

Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners.

OBJECTIVE: The study sought to understand the potential roles of a future artificial intelligence (A...

Use of Natural Language Processing to Assess Frequency of Functional Status Documentation for Patients Newly Diagnosed With Colorectal Cancer.

This cross-sectional study applies natural language processing to electronic health records from a l...

eHealth and Clinical Documentation Systems.

eHealth is the use of modern information and communication technology (ICT) for trans-institutional ...

[Artificial intelligence and smartphone program applications (Apps) : Relevance for dermatological practice].

ADVANTAGES OF ARTIFICIAL INTELLIGENCE (AI): With responsible, safe and successful use of artificial ...

Comparison of data analytics strategies in computer vision systems to predict pig body composition traits from 3D images.

Computer vision systems (CVS) have been shown to be a powerful tool for the measurement of live pig ...

Collaborative, Multidisciplinary Evaluation of Cancer Variants Through Virtual Molecular Tumor Boards Informs Local Clinical Practices.

PURPOSE: The cancer research community is constantly evolving to better understand tumor biology, di...

PrositNG - A Machine Learning Supported Disease Model Generation Software.

Decision models (DM), especially Markov Models, play an essential role in the economic evaluation of...

Automated Misspelling Detection and Correction in Persian Clinical Text.

Accurate electronic health records are important for clinical care, research, and patient safety ass...

The Present and Future of Team Documentation: The Role of Patients, Families, and Artificial Intelligence.

Beyond the Artificial Intelligence Hype: What Lies Behind the Algorithms and What We Can Achieve.

The field of artificial intelligence (AI) is currently experiencing a period of extensive growth in ...

Forecasting beef production and quality using large-scale integrated data from Brazil.

With agriculture rapidly becoming a data-driven field, it is imperative to extract useful informatio...

A governance model for the application of AI in health care.

As the efficacy of artificial intelligence (AI) in improving aspects of healthcare delivery is incre...

"A patient like me" - An algorithm-based program to inform patients on the likely conditions people with symptoms like theirs have.

To date, consumer health tools available over the web suffer from serious limitations that lead to l...

The Use of Random Forests to Classify Amyloid Brain PET.

PURPOSE: To evaluate random forests (RFs) as a supervised machine learning algorithm to classify amy...

A network model of activities in primary care consultations.

OBJECTIVE: The objective of this study is to characterize the dynamic structure of primary care cons...

Identifying Suicidal Adolescents from Mental Health Records Using Natural Language Processing.

Suicidal ideation is a risk factor for self-harm, completed suicide and can be indicative of mental ...

Recurrent Deep Network Models for Clinical NLP Tasks: Use Case with Sentence Boundary Disambiguation.

Although a number of foundational natural language processing (NLP) tasks like text segmentation are...

Underserved populations with missing race ethnicity data differ significantly from those with structured race/ethnicity documentation.

OBJECTIVE: We aimed to address deficiencies in structured electronic health record (EHR) data for ra...

Automating the Capture of Structured Pathology Data for Prostate Cancer Clinical Care and Research.

PURPOSE: Cancer pathology findings are critical for many aspects of care but are often locked away a...

Combining Natural Language Processing of Electronic Medical Notes With Administrative Data to Determine Racial/Ethnic Differences in the Disclosure and Documentation of Military Sexual Trauma in Veterans.

BACKGROUND: Despite national screening efforts, military sexual trauma (MST) is underreported. Littl...

Is Watson for Oncology Unreasonably Dangerous?: Making A Case for How to Prove Products Liability Based on a Flawed Artificial Intelligence Design.

Artificial intelligence (AI) machines hold the world's curiosity captive. Futuristic television show...