AIMC Topic: Artificial Intelligence

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Preparing the Next Generation of Clinicians for Practice Using Augmented and Artificial Intelligence.

Compendium of continuing education in dentistry (Jamesburg, N.J. : 1995)
Artificial intelligence (AI) and Augmented Intelligence (AuI) have existed for decades but have only recently been applied to dentistry and incorporated into higher education for dental professionals. Early examples of the incorporation of AI into de...

Using Artificial Intelligence for Optimization of the Processes and Resource Utilization in Radiotherapy.

JCO global oncology
The radiotherapy (RT) process from planning to treatment delivery is a multistep, complex operation involving numerous levels of human-machine interaction and requiring high precision. These steps are labor-intensive and time-consuming and require me...

Technological advances in body CT: a primer for beginners.

European review for medical and pharmacological sciences
Many technological advances have entered the clinical routine of Computed Tomography (CT) imaging. The new CT scanners have specific solutions in gantry design to bear the mechanical solicitations. The X-ray tubes have been improved for faster acquis...

Clinician Adoption of an Artificial Intelligence Algorithm to Detect Left Ventricular Systolic Dysfunction in Primary Care.

Mayo Clinic proceedings
OBJECTIVE: To compare the clinicians' characteristics of "high adopters" and "low adopters" of an artificial intelligence (AI)-enabled electrocardiogram (ECG) algorithm that alerted for possible low left ventricular ejection fraction (EF) and the sub...

Interpreting mental state decoding with deep learning models.

Trends in cognitive sciences
In mental state decoding, researchers aim to identify the set of mental states (e.g., experiencing happiness or fear) that can be reliably identified from the activity patterns of a brain region (or network). Deep learning (DL) models are highly prom...