AIMC Topic: Automation

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Design of wormlike automated robotic endoscope: dynamic interaction between endoscopic balloon and surrounding tissues.

Surgical endoscopy
BACKGROUND: The current design of capsule endoscope is limited by the inability to control the motion within gastrointestinal tract. The rising incidence of gastrointestinal cancers urged improvement in the method of screening endoscopy.

Driver's behavioural changes with new intelligent transport system interventions at railway level crossings--A driving simulator study.

Accident; analysis and prevention
Improving safety at railway level crossings is an important issue for the Australian transport system. Governments, the rail industry and road organisations have tried a variety of countermeasures for many years to improve railway level crossing safe...

[Implementation of a robot for the preparation of antineoplastic drugs in the Pharmacy Service].

Farmacia hospitalaria : organo oficial de expresion cientifica de la Sociedad Espanola de Farmacia Hospitalaria
OBJECTIVE: To describe the implementation of a robot for the preparation of antineoplastic drugs in the Pharmacy Service and to be able to analyze the added value to pharmacotherapy.

Automatic evidence quality prediction to support evidence-based decision making.

Artificial intelligence in medicine
BACKGROUND: Evidence-based medicine practice requires practitioners to obtain the best available medical evidence, and appraise the quality of the evidence when making clinical decisions. Primarily due to the plethora of electronically available data...

Multi-Step Protocol for Automatic Evaluation of Docking Results Based on Machine Learning Methods--A Case Study of Serotonin Receptors 5-HT(6) and 5-HT(7).

Journal of chemical information and modeling
Molecular docking, despite its undeniable usefulness in computer-aided drug design protocols and the increasing sophistication of tools used in the prediction of ligand-protein interaction energies, is still connected with a problem of effective resu...

Automated pancreatic cyst screening using natural language processing: a new tool in the early detection of pancreatic cancer.

HPB : the official journal of the International Hepato Pancreato Biliary Association
INTRODUCTION: As many as 3% of computed tomography (CT) scans detect pancreatic cysts. Because pancreatic cysts are incidental, ubiquitous and poorly understood, follow-up is often not performed. Pancreatic cysts may have a significant malignant pote...

Kernel collaborative representation-based automatic seizure detection in intracranial EEG.

International journal of neural systems
Automatic seizure detection is of great significance in the monitoring and diagnosis of epilepsy. In this study, a novel method is proposed for automatic seizure detection in intracranial electroencephalogram (iEEG) recordings based on kernel collabo...

Ultrasound texture-based CAD system for detecting neuromuscular diseases.

International journal of computer assisted radiology and surgery
PURPOSE: Diagnosis of neuromuscular diseases in ultrasonography is a challenging task since experts are often unable to discriminate between healthy and pathological cases. A computer-aided diagnosis (CAD) system for skeletal muscle ultrasonography w...

Automated structural classification of lipids by machine learning.

Bioinformatics (Oxford, England)
MOTIVATION: Modern lipidomics is largely dependent upon structural ontologies because of the great diversity exhibited in the lipidome, but no automated lipid classification exists to facilitate this partitioning. The size of the putative lipidome fa...