Medicolegal

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 increasingly becoming evident, it becomes likely that AI will be incorporated in routine clinical care in the near future. This promise has led to growing focus and investment in AI medical applications both from governmental organizations and technological companies. However, concern has been expressed ...

The Use of Random Forests to Classify Amyloid Brain PET.

PURPOSE: To evaluate random forests (RFs) as a supervised machine learning algorithm to classify amyloid brain PET as positive or negative for amyloid deposition and identify key regions of interest for stratification.

"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 low quality health- related information. While heal...

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 health issues. Adolescents are a particularly vuln...

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. Little is known of racial/ethnic differences in MST rep...

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 shows like West World are set in desert lands against ...

Decision tree (DT), generalized regression neural network (GR) and multivariate adaptive regression splines (MARS) models for sediment transport in sewer pipes.

Sediment deposition in sewers and urban drainage systems has great effect on the hydraulic capacity of the channel. In this respect, the self-cleansin...

Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery.

BACKGROUND: This paper aims to move the debate forward regarding the potential for artificial intelligence (AI) and autonomous robotic surgery with a ...

Machine Learning Methods for Identifying Critical Data Elements in Nursing Documentation.

BACKGROUND: Public health nurses (PHNs) engage in home visiting services and documentation of care services for at-risk clients. To increase efficienc...

Data Profiling in Support of Entity Resolution of Multi-Institutional EHR Data.

Information Quality (IQ) is a core tenant of contemporary data management practices. Across many disciplines and industries, it has become a necessary...

[The β2GPI/aβ2GPI inhibits phagocytosis of oxidized low-density lipoprotein in THP-1 macrophages via activating TLR4].

Objective To investigate the effects of β2 glycoprotein I/anti-β2 glycoprotein I antibody complex (β2GPI/aβ2GPI) on lipid phagocytosis and class B sca...

Spiking Neural Networks with Unsupervised Learning Based on STDP Using Resistive Synaptic Devices and Analog CMOS Neuron Circuit.

We designed the CMOS analog integrate and fire (I&F) neuron circuit can drive resistive synaptic device. The neuron circuit consists of a current mirr...

Predicting Mortality in the Surgical Intensive Care Unit Using Artificial Intelligence and Natural Language Processing of Physician Documentation.

The purpose of this study was to use natural language processing of physician documentation to predict mortality in patients admitted to the surgical ...

Radiology and Enterprise Medical Imaging Extensions (REMIX).

Radiology and Enterprise Medical Imaging Extensions (REMIX) is a platform originally designed to both support the medical imaging-driven clinical and ...

Using Clinical Notes and Natural Language Processing for Automated HIV Risk Assessment.

OBJECTIVE: Universal HIV screening programs are costly, labor intensive, and often fail to identify high-risk individuals. Automated risk assessment m...

[Robotization of the human under the law].

The robotization of the human implies a more or less intimate hybridization with the machine. When it participates in the repair of the human being, i...

On the Representation of Machine Learning Results for Delirium Prediction in a Hospital Information System in Routine Care.

Digitalisation of health care for the purpose of medical documentation lead to huge amounts of data, hence having an opportunity to derive knowledge a...

Technical Note: A new device for cervical insemination of sheep - design and field test.

Deep semen deposition, avoiding retrograde flow, lesions and stress, has proved to be very important in the success of sheep AI. The objective of the ...

[Artificial intelligence in medicine: limits and obstacles.].

Data scientists and physicians are starting to use artificial intelligence (AI) even in the medical field in order to better understand the relationsh...

OLS Client and OLS Dialog: Open Source Tools to Annotate Public Omics Datasets.

The availability of user-friendly software to annotate biological datasets and experimental details is becoming essential in data management practices...