AIMC Topic: Critical Pathways
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Staged reflexive artificial intelligence driven testing algorithms for early diagnosis of pituitary disorders.
Clinical biochemistry
Aug 23, 2021
BACKGROUND: Sellar masses (SM) frequently present with insidious hormonal dysfunction. We previously showed that, by utilizing a combined reflex/reflecting approach involving a laboratory clinician (LC) on common endocrine test results requested by n...
Bridging the artificial intelligence valley of death in surgical decision-making.
Surgery
Feb 16, 2021
Artificial intelligence-enabled healthcare delivery.
Journal of the Royal Society of Medicine
Dec 3, 2018
In recent years, there has been massive progress in artificial intelligence (AI) with the development of deep neural networks, natural language processing, computer vision and robotics. These techniques are now actively being applied in healthcare wi...
Simulation of patient flow in multiple healthcare units using process and data mining techniques for model identification.
Journal of biomedical informatics
May 16, 2018
INTRODUCTION: An approach to building a hybrid simulation of patient flow is introduced with a combination of data-driven methods for automation of model identification. The approach is described with a conceptual framework and basic methods for comb...
Learning Effective Treatment Pathways for Type-2 Diabetes from a clinical data warehouse.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 10, 2017
Treatment guidelines for management of type-2 diabetes mellitus (T2DM) are controversial because existing evidence from randomized clinical trials do not address many important clinical questions. Data from Electronic Medical Records (EMRs) has been ...
Indications for staging laparoscopy in pancreatic cancer.
HPB : the official journal of the International Hepato Pancreato Biliary Association
Nov 18, 2015
BACKGROUND: To identify indications for staging laparoscopy (SL) in patients with resectable pancreatic cancer, and suggest a pre-operative algorithm for staging these patients.
Opportunities for machine learning to transform care for people with cystic fibrosis.
Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society
Jan 1, 2020
Improving Adherence to Clinical Pathways Through Natural Language Processing on Electronic Medical Records.
Studies in health technology and informatics
Aug 21, 2019
This paper presents a pioneering and practical experience in the development and implementation of a clinical decision support system (CDSS) based on natural language processing (NLP) and artificial intelligence (AI) techniques. Our CDSS notifies pri...
Semi-Automatic Mark-Up and UMLS Annotation of Clinical Guidelines.
Studies in health technology and informatics
Jan 1, 2017
Clinical guidelines and clinical pathways are accepted and proven instruments for quality assurance and process optimization in the healthcare domain. To derive clinical pathways from clinical guidelines, the imprecise, non-formalized abstract guidel...
Personalized Guideline-Based Treatment Recommendations Using Natural Language Processing Techniques.
Studies in health technology and informatics
Jan 1, 2017
Clinical guidelines and clinical pathways are accepted and proven instruments for quality assurance and process optimization. Today, electronic representation of clinical guidelines exists as unstructured text, but is not well-integrated with patient...
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