AIMC Topic: Artificial Intelligence

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Artificial Intelligence for Cardiothoracic Imaging: Overview of Current and Emerging Applications.

Seminars in roentgenology
Artificial intelligence algorithms can learn by assimilating information from large datasets in order to decipher complex associations, identify previously undiscovered pathophysiological states, and construct prediction models. There has been tremen...

Computational design of clinical trials using a combination of simulation and the genetic algorithm.

CPT: pharmacometrics & systems pharmacology
Artificial intelligence (AI) has come to be used in various technological fields in recent years. However, there have been no reports of AI-designed clinical trials. In this study, we tried to develop study designs by a genetic algorithm (GA), which ...

From Data to Diagnosis: How Machine Learning Is Changing Heart Health Monitoring.

International journal of environmental research and public health
The rapid advances in science and technology in the field of artificial neural networks have led to noticeable interest in the application of this technology in medicine. Given the need to develop medical sensors that monitor vital signs to meet both...

Evaluation of the clinical performance of an AI-based application for the automated analysis of chest X-rays.

Scientific reports
The AI-Rad Companion Chest X-ray (AI-Rad, Siemens Healthineers) is an artificial-intelligence based application for the analysis of chest X-rays. The purpose of the present study is to evaluate the performance of the AI-Rad. In total, 499 radiographs...

Artificial intelligence in clinical multiparameter flow cytometry and mass cytometry-key tools and progress.

Seminars in diagnostic pathology
There are many research studies and emerging tools using artificial intelligence (AI) and machine learning to augment flow and mass cytometry workflows. Emerging AI tools can quickly identify common cell populations with continuous improvement of acc...

Neural network based formation of cognitive maps of semantic spaces and the putative emergence of abstract concepts.

Scientific reports
How do we make sense of the input from our sensory organs, and put the perceived information into context of our past experiences? The hippocampal-entorhinal complex plays a major role in the organization of memory and thought. The formation of and n...

Artificial intelligence in uveitis: A comprehensive review.

Survey of ophthalmology
Uveitis is a disease complex characterized by intraocular inflammation of the uvea that is an important cause of blindness and social morbidity. With the dawn of artificial intelligence (AI) and machine learning integration in health care, their appl...

Unraveling surface-enhanced Raman spectroscopy results through chemometrics and machine learning: principles, progress, and trends.

Analytical and bioanalytical chemistry
Surface-enhanced Raman spectroscopy (SERS) has gained increasing attention because it provides rich chemical information and high sensitivity, being applicable in many scientific fields including medical diagnosis, forensic analysis, food control, an...