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
doaj +3 more sources
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
doaj +3 more sources
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
doaj +2 more sources
Application of the artificial intelligence-assisted World Café teaching model in clinical pharmacology graduate course: a pilot study [PDF]
Frontiers in Public HealthBackgroundTo investigate the application effectiveness of an artificial intelligence (AI)-assisted World Café teaching model in graduate-level clinical pharmacology course and to evaluate its impact on facilitating students’ acquisition and integration ...
Ying Guo +7 more
doaj +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Preparation of image databases for artificial intelligence algorithm development in gastrointestinal endoscopy [PDF]
Clinical Endoscopy, 2022 Over the past decade, technological advances in deep learning have led to the introduction of artificial intelligence (AI) in medical imaging. The most commonly used structure in image recognition is the convolutional neural network, which mimics the ...
Chang Bong Yang +2 more
doaj +1 more source