AIMC Topic: Humans

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Natural language processing for prediction of readmission in posterior lumbar fusion patients: which free-text notes have the most utility?

The spine journal : official journal of the North American Spine Society
BACKGROUND CONTEXT: The increasing volume of free-text notes available in electronic health records has created an opportunity for natural language processing (NLP) algorithms to mine this unstructured data in order to detect and predict adverse outc...

Machine learning in medicine: It has arrived, let's embrace it.

Journal of cardiac surgery
Machine learning and artificial intelligence (AI) have arrived in medicine and the healthcare community is experiencing significant growth in their adoption across numerous patient care settings. There are countless applications for machine learning ...

The learning curve in robotic colorectal surgery compared with laparoscopic colorectal surgery: a systematic review.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland
AIM: The learning curve has implications for efficient surgical training. Robotic surgery is perceived to have a shorter learning curve than laparoscopy; however, detailed analysis is lacking. The aim of this work was to analyse studies comparing rob...

Large Vessel Occlusion Prediction in the Emergency Department with National Institutes of Health Stroke Scale Components: A Machine Learning Approach.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
OBJECTIVE: To determine the feasibility of using a machine learning algorithm to screen for large vessel occlusions (LVO) in the Emergency Department (ED).

Prediction Models of Early Childhood Caries Based on Machine Learning Algorithms.

International journal of environmental research and public health
In this study, we developed machine learning-based prediction models for early childhood caries and compared their performances with the traditional regression model. We analyzed the data of 4195 children aged 1-5 years from the Korea National Health...

Deep learning with convolutional neural network for estimation of the characterisation of coronary plaques: Validation using IB-IVUS.

Radiography (London, England : 1995)
INTRODUCTION: Deep learning approaches have shown high diagnostic performance in image classifications, such as differentiation of malignant tumors and calcified coronary plaque. However, it is unknown whether deep learning is useful for characterizi...

Dose reduction potential of vendor-agnostic deep learning model in comparison with deep learning-based image reconstruction algorithm on CT: a phantom study.

European radiology
OBJECTIVES: To compare the dose reduction potential (DRP) of a vendor-agnostic deep learning model (DLM, ClariCT.AI) with that of a vendor-specific deep learning-based image reconstruction algorithm (DLR, TrueFidelity™).

Ropinirole involved in a fatal case: blood and urinary concentrations.

Forensic toxicology
PURPOSE: Ropinirole is an antiparkinsonian  drug and has recently been suggested to be effective in amyotrophic lateral sclerosis. It is expected that ropinirole prescriptions will increase in the near future. However, the fatal concentration in bloo...