AIMC Topic: Proof of Concept Study
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Personalized prediction of daily eczema severity scores using a mechanistic machine learning model.
Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology
Sep 9, 2020
BACKGROUND: Atopic dermatitis (AD) is a chronic inflammatory skin disease with periods of flares and remission. Designing personalized treatment strategies for AD is challenging, given the apparent unpredictability and large variation in AD symptoms ...
A Genome-Based Model to Predict the Virulence of Pseudomonas aeruginosa Isolates.
mBio
Aug 25, 2020
Variation in the genome of , an important pathogen, can have dramatic impacts on the bacterium's ability to cause disease. We therefore asked whether it was possible to predict the virulence of isolates based on their genomic content. We applied a m...
Machine Learning in Laryngoscopy Analysis: A Proof of Concept Observational Study for the Identification of Post-Extubation Ulcerations and Granulomas.
The Annals of otology, rhinology, and laryngology
Aug 14, 2020
OBJECTIVE: Computer-aided analysis of laryngoscopy images has potential to add objectivity to subjective evaluations. Automated classification of biomedical images is extremely challenging due to the precision required and the limited amount of annot...
Developing a neurally informed ontology of creativity measurement.
NeuroImage
Jul 16, 2020
A central challenge for creativity research-as for all areas of experimental psychology and cognitive neuroscience-is to establish a mapping between constructs and measures (i.e., identifying a set of tasks that best captures a set of creative abilit...
A Physical Activity and Diet Program Delivered by Artificially Intelligent Virtual Health Coach: Proof-of-Concept Study.
JMIR mHealth and uHealth
Jul 10, 2020
BACKGROUND: Poor diet and physical inactivity are leading modifiable causes of death and disease. Advances in artificial intelligence technology present tantalizing opportunities for creating virtual health coaches capable of providing personalized s...
Non-Invasive Estimation of Intracranial Pressure by Diffuse Optics: A Proof-of-Concept Study.
Journal of neurotrauma
Jul 7, 2020
Intracranial pressure (ICP) is an important parameter to monitor in several neuropathologies. However, because current clinically accepted methods are invasive, its monitoring is limited to patients in critical conditions. On the other hand, there ar...
A deep learning algorithm to detect the presence of basal cell carcinoma on Mohs micrographic surgery frozen sections.
Journal of the American Academy of Dermatology
Jun 23, 2020
Preprocedure Application of Machine Learning and Mechanistic Simulations Predicts Likelihood of Paroxysmal Atrial Fibrillation Recurrence Following Pulmonary Vein Isolation.
Circulation. Arrhythmia and electrophysiology
Jun 14, 2020
BACKGROUND: Pulmonary vein isolation (PVI) is an effective treatment strategy for patients with atrial fibrillation (AF), but many experience AF recurrence and require repeat ablation procedures. The goal of this study was to develop and evaluate a m...
Treatment Outcome
Contrast Media
Magnetic Resonance Imaging
Action Potentials
Predictive Value of Tests
Humans
Atrial Fibrillation
Machine Learning
Heart Rate
Retrospective Studies
Catheter Ablation
Proof of Concept Study
Male
Middle Aged
Risk Assessment
Diagnosis, Computer-Assisted
Female
Reproducibility of Results
Pulmonary Veins
Organometallic Compounds
Risk Factors
Meglumine
Aged
Recurrence
Models, Cardiovascular
Patient-Specific Modeling
Machine-Learning-Enabled Exploration of Morphology Influence on Wire-Array Electrodes for Electrochemical Nitrogen Fixation.
The journal of physical chemistry letters
May 29, 2020
Neural networks, trained on data generated by a microkinetic model and finite-element simulations, expand explorable parameter space by significantly accelerating the predictions of electrocatalytic performance. In addition to modeling electrode reac...
Detection of Atrial Fibrillation Using a Ring-Type Wearable Device (CardioTracker) and Deep Learning Analysis of Photoplethysmography Signals: Prospective Observational Proof-of-Concept Study.
Journal of medical Internet research
May 21, 2020
BACKGROUND: Continuous photoplethysmography (PPG) monitoring with a wearable device may aid the early detection of atrial fibrillation (AF).
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