Clinical decision support systems for brain tumour diagnosis and prognosis: A systematic review
T Mukherjee, O Pournik, SN Lim Choi Keung… - Cancers, 2023 - mdpi.com
Simple Summary Brain tumours are abnormal growth of cells in the human brain.
Continuous effort is being made towards improving diagnosis and treatment options for such …
Continuous effort is being made towards improving diagnosis and treatment options for such …
Classification of brain tumours from MR spectra: the INTERPRET collaboration and its outcomes
The INTERPRET project was a multicentre European collaboration, carried out from 2000 to
2002, which developed a decision‐support system (DSS) for helping neuroradiologists with …
2002, which developed a decision‐support system (DSS) for helping neuroradiologists with …
[HTML][HTML] Accurate classification of childhood brain tumours by in vivo 1H MRS–A multi-centre study
AIMS: To evaluate the accuracy of single-voxel Magnetic Resonance Spectroscopy (1H
MRS) as a non-invasive diagnostic aid for paediatric brain tumours in a multi-national study …
MRS) as a non-invasive diagnostic aid for paediatric brain tumours in a multi-national study …
An HL7-CDA wrapper for facilitating semantic interoperability to rule-based Clinical Decision Support Systems
The success of Clinical Decision Support Systems (CDSS) greatly depends on its capability
of being integrated in Health Information Systems (HIS). Several proposals have been …
of being integrated in Health Information Systems (HIS). Several proposals have been …
[HTML][HTML] Clinical decision support systems for brain tumor characterization using advanced magnetic resonance imaging techniques
In recent years, advanced magnetic resonance imaging (MRI) techniques, such as magnetic
resonance spectroscopy, diffusion weighted imaging, diffusion tensor imaging and perfusion …
resonance spectroscopy, diffusion weighted imaging, diffusion tensor imaging and perfusion …
From raw data to data-analysis for magnetic resonance spectroscopy–the missing link: jMRUI2XML
V Mocioiu, S Ortega-Martorell, I Olier, M Jablonski… - BMC …, 2015 - Springer
Background Magnetic resonance spectroscopy provides metabolic information about living
tissues in a non-invasive way. However, there are only few multi-centre clinical studies …
tissues in a non-invasive way. However, there are only few multi-centre clinical studies …
Multicentre evaluation of the INTERPRET decision support system 2.0 for brain tumour classification
M Julià‐Sapé, C Majós, À Camins… - NMR in …, 2014 - Wiley Online Library
In a previous study, we have shown the added value of 1H MRS for the neuroradiological
characterisation of adult human brain tumours. In that study, several methods of MRS …
characterisation of adult human brain tumours. In that study, several methods of MRS …
Randomized pilot study and qualitative evaluation of a clinical decision support system for brain tumour diagnosis based on SV 1H MRS: Evaluation as an additional …
The results of a randomized pilot study and qualitative evaluation of the clinical decision
support system Curiam BT are reported. We evaluated the system's feasibility and potential …
support system Curiam BT are reported. We evaluated the system's feasibility and potential …
[PDF][PDF] Clinical Decision Support Systems for Brain Tumour Diagnosis and Prognosis
T Mukherjee, O Pournik, SN Lim Choi Keung… - 2023 - pure-oai.bham.ac.uk
CDSSs are being continuously developed and integrated into routine clinical practice as
they assist clinicians and radiologists in dealing with an enormous amount of medical data …
they assist clinicians and radiologists in dealing with an enormous amount of medical data …
[PDF][PDF] Clinical Decision Support Systems for Brain Tumour Diagnosis: Classification and Evaluation Approaches
JV Robledo - 2012 - pdfs.semanticscholar.org
During the last decades, the availability of great amounts of biomedical information has
fostered the development of tools to allow the extraction and inference of knowledge. The …
fostered the development of tools to allow the extraction and inference of knowledge. The …