AI Medical Compendium Journal:
Acta neurochirurgica. Supplement

Showing 1 to 10 of 24 articles

Cirq Robotic Assistance for Thoracolumbar Pedicle Screw Placement: Overcoming the Disadvantages of Minimally Invasive Spine Surgery.

Acta neurochirurgica. Supplement
INTRODUCTION: Various minimally invasive spine surgery (MISS) techniques have been developed with the goal of reducing approach-related soft-tissue trauma and its associated complications. However, there is still a debate on some of the potential dra...

Artificial Intelligence in Adult Spinal Deformity.

Acta neurochirurgica. Supplement
Artificial Intelligence is gaining traction in medicine for its ease of use and advancements in technology. This study evaluates the current literature on the use of artificial intelligence in adult spinal deformity.

Natural Language Processing Applications in the Clinical Neurosciences: A Machine Learning Augmented Systematic Review.

Acta neurochirurgica. Supplement
Natural language processing (NLP), a domain of artificial intelligence (AI) that models human language, has been used in medicine to automate diagnostics, detect adverse events, support decision making and predict clinical outcomes. However, applicat...

The Artificial Intelligence Doctor: Considerations for the Clinical Implementation of Ethical AI.

Acta neurochirurgica. Supplement
The applications of artificial intelligence (AI) and machine learning (ML) in modern medicine are growing exponentially, and new developments are fast-paced. However, the lack of trust and appropriate legislation hinder its clinical implementation. R...

Machine Learning and Ethics.

Acta neurochirurgica. Supplement
When new technology is introduced into healthcare, novel ethical dilemmas arise in the human-machine interface. As artificial intelligence (AI), machine learning (ML) and big data can exhaust human oversight and memory capacity, this will give rise t...

Overview of Algorithms for Natural Language Processing and Time Series Analyses.

Acta neurochirurgica. Supplement
A host of machine learning algorithms have been used to perform several different tasks in NLP and TSA. Prior to implementing these algorithms, some degree of data preprocessing is required. Deep learning approaches utilizing multilayer perceptrons, ...

Foundations of Time Series Analysis.

Acta neurochirurgica. Supplement
For almost a century, classical statistical methods including exponential smoothing and autoregression integrated moving averages (ARIMA) have been predominant in the analysis of time series (TS) and in the pursuit of forecasting future events from h...

Natural Language Processing: Practical Applications in Medicine and Investigation of Contextual Autocomplete.

Acta neurochirurgica. Supplement
Natural language processing (NLP) is the task of converting unstructured human language data into structured data that a machine can understand. While its applications are far and wide in healthcare, and are growing considerably every day, this chapt...

Foundations of Multiparametric Brain Tumour Imaging Characterisation Using Machine Learning.

Acta neurochirurgica. Supplement
The heterogeneity of brain tumours at the molecular, metabolic and structural levels poses significant challenge for accurate tissue characterisation. Artificial intelligence and radiomics have emerged as valuable tools to analyse quantitative featur...

Foundations of Lesion Detection Using Machine Learning in Clinical Neuroimaging.

Acta neurochirurgica. Supplement
This chapter describes technical considerations and current and future clinical applications of lesion detection using machine learning in the clinical setting. Lesion detection is central to neuroradiology and precedes all further processes which in...