AIMC Topic: Artificial Intelligence

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Using artificial intelligence to predict the final color of leucite-reinforced ceramic restorations.

Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.]
OBJECTIVES: The aim of this study was to evaluate the accuracy of machine learning regression models in predicting the final color of leucite-reinforced glass CAD/CAM ceramic veneer restorations based on substrate shade, ceramic shade, thickness and ...

Transfer learning as an AI-based solution to address limited datasets in space medicine.

Life sciences in space research
The advent of artificial intelligence (AI) has a promising role in the future long-duration spaceflight missions. Traditional AI algorithms rely on training and testing data from the same domain. However, astronaut medical data is naturally limited t...

Artificial Intelligence in Diagnosis of Oral Diseases: A Systematic Review.

The journal of contemporary dental practice
AIM: To understand the role of Artificial intelligence (AI) in oral radiology and its applications.

Explainable Machine Learning Model to Predict COVID-19 Severity Among Older Adults in the Province of Quebec.

Annals of family medicine
Context: Patients over the age of 65 years are more likely to experience higher severity and mortality rates than other populations from COVID-19. Clinicians need assistance in supporting their decisions regarding the management of these patients. Ar...

Considerations for Creating a Restricted Data Environment with Complete Primary Care Electronic Medical Record Data.

Annals of family medicine
Background: Historically, primary care databases have been limited to subsets of the full electronic medical record (EMR) data to maintain privacy. With the progression of artificial intelligence (AI) techniques (i.e., machine learning, natural langu...

Improved Drill State Recognition during Milling Process Using Artificial Intelligence.

Sensors (Basel, Switzerland)
In this article, an automated method for tool condition monitoring is presented. When producing items in large quantities, pointing out the exact time when the element needs to be exchanged is crucial. If performed too early, the operator gets rid of...

Artificial intelligence-based recognition for variant pathogenicity of BRCA1 using AlphaFold2-predicted structures.

Theranostics
With the surge of the high-throughput sequencing technologies, many genetic variants have been identified in the past decade. The vast majority of these variants are defined as variants of uncertain significance (VUS), as their significance to the fu...

An AI Approach for Identifying Patients With Cirrhosis.

Journal of clinical gastroenterology
GOAL: The goal of this study was to evaluate an artificial intelligence approach, namely deep learning, on clinical text in electronic health records (EHRs) to identify patients with cirrhosis.

Open issues for education in radiological research: data integrity, study reproducibility, peer-review, levels of evidence, and cross-fertilization with data scientists.

La Radiologia medica
We are currently facing extraordinary changes. A harder and harder competition in the field of science is open in each country as well as in continents and worldwide. In this context, what should we teach to young students and doctors? There is a nee...