History and Future of KALIS: Towards Computer-assisted Decision Making in Prescriptive Medicine [PDF]
Journal of Integrative Bioinformatics, 2019 With an increasing older population in Germany and the need for polypharmacy to treat multimorbid patients computer-assisted decision making on an individual level is increasingly important to reduce prescription errors and adverse drug reactions.
Friedrichs Marcel, Shoshi Alban
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Computer-assisted Medical Decision-making System for Diagnosis of Urticaria [PDF]
MDM Policy & Practice, 2016 Background: Urticaria is a common allergic disease that affects all age groups. Allergic disorders are diagnosed at allergy testing centers using skin tests. Though skin tests are the gold standard tests for allergy diagnosis, specialists are required to
Jabez J. Christopher BE, ME +3 more
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Artificial Intelligence-Assisted Diagnosis for Early Intervention Patients
Applied Sciences, 2022 The use of artificial intelligence to aid decision making is widely adopted today. Its application is found in different areas, among which the medical one is the most disruptive.
Ignacio Sierra +3 more
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Using the TI.VA algorithm to titrate the depth of general anaesthesia: a first-in-humans study
BJA Open, 2023 Background: The dose of anaesthetic and opioid drugs must be continuously adjusted after the induction of general anaesthesia to maintain an adequate depth of anaesthesia.
Emiliano Tognoli, Mariani Luigi
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Correlation between Kidney Function and Sonographic Texture Features after Allograft Transplantation with Corresponding to Serum Creatinine: A Long Term Follow-Up Study [PDF]
Journal of Biomedical Physics and Engineering, 2020 Background: The ability to monitor kidney function after transplantation is one of the major factors to improve care of patients. Objective: Authors recommend a computerized texture analysis using run-length matrix features for detection of changes in ...
A Abbasian Ardakani +3 more
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A clinical decision model based on machine learning for ptosis
BMC Ophthalmology, 2021 Background To establish a decision model based on two- (2D) and three-dimensional (3D) eye data of patients with ptosis for developing personalized surgery plans.
Xuefei Song +6 more
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Dopamine beta hydroxylase genotype identifies individuals less susceptible to bias in computer-assisted decision making. [PDF]
PLoS ONE, 2012 Computerized aiding systems can assist human decision makers in complex tasks but can impair performance when they provide incorrect advice that humans erroneously follow, a phenomenon known as "automation bias." The extent to which people exhibit ...
Raja Parasuraman +3 more
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Development of an app as a tool to support research and the prevention of osteoporosis
Revista Brasileira de Geriatria e Gerontologia, 2018 Objective: to develop an app for the investigation and prevention of osteoporosis for use by health professionals. Method: the development of the app was performed in six steps: definition of the target audience; survey of validated osteoporosis risk ...
Hélio Luiz Fernando Bernardi +1 more
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Factors Influencing Nonabsolute Indications for Surgery in Patients With Lower Urinary Tract Symptoms Suggestive of Benign Prostatic Hyperplasia: Analysis Using Causal Bayesian Networks [PDF]
International Neurourology Journal, 2014 Purpose To identify the factors affecting the surgical decisions of experienced physicians when treating patients with lower urinary tract symptoms that are suggestive of benign prostatic hyperplasia (LUTS/BPH).
Myong Kim +5 more
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Computer-Based Decision Tools for Shared Therapeutic Decision-making in Oncology: Systematic Review
JMIR Cancer, 2021 BackgroundTherapeutic decision-making in oncology is a complex process because physicians must consider many forms of medical data and protocols.
Alan Yung +4 more
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