AIMC Topic: Artificial Intelligence

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Esophageal Intelligence: Implementing Artificial Intelligence Into the Diagnostics of Esophageal Motility and Impedance pH Monitoring.

Neurogastroenterology and motility
Esophageal motility disorders (EMDs) encompass a range of functional abnormalities, including achalasia, ineffective esophageal motility (IEM), esophagogastric junction outflow obstruction (EGJOO), and distal esophageal spasm (DES). Diagnostic modali...

Novel Multimodal Precision Medicine Approaches and the Relevance of Developmental Trajectories in Bipolar Disorder.

Biological psychiatry
There is a pressing need to establish objective measures to improve diagnosis, prediction, prevention, and treatment of bipolar disorder (BD). Multimodal artificial intelligence (AI) tools could provide these means by incorporating various layers of ...

Systematic review of infodemiology studies using artificial intelligence: social media posts on HIV preexposure prophylaxis.

AIDS (London, England)
OBJECTIVES: To explore how artificial intelligence (AI) can enhance infodemiology, which distributes and scans information in the electronic medium, to process social media posts for HIV preexposure prophylaxis (PrEP).

Evaluating a large language model's accuracy in chest X-ray interpretation for acute thoracic conditions.

The American journal of emergency medicine
BACKGROUND: The rapid advancement of artificial intelligence (AI) has great ability to impact healthcare. Chest X-rays are essential for diagnosing acute thoracic conditions in the emergency department (ED), but interpretation delays due to radiologi...

Electroencephalography Decoding with Conditional Identification Generator.

International journal of neural systems
Decoding Electroencephalography (EEG) signals are extremely useful for advancing and understanding human-artificial intelligence (AI) interaction systems. Recent advancements in deep neural networks (DNNs) have demonstrated significant promise in thi...

Automated assessment of skin histological tissue structures by artificial intelligence in cutaneous melanoma.

Pathology, research and practice
BACKGROUND: Prognostic histopathological features such as mitosis in melanoma are excluded from the staging systems due to inter-observer variability and time constraints. While digital pathology offers artificial intelligence-driven solutions, exist...

[How older people are learning through artificial intelligence-assisted health technologies : Cute seals and nervous fall sensors].

Zeitschrift fur Gerontologie und Geriatrie
BACKGROUND: With the growing use of artificial intelligence (AI) in various areas of life, AI technologies are increasingly being developed for the nursing and care of older people and are intended to contribute to greater safety for older people in ...

Artificial Intelligence-Enhanced Analysis of Echocardiography-Based Radiomic Features for Myocardial Hypertrophy Detection and Etiology Differentiation.

Circulation. Cardiovascular imaging
BACKGROUND: While echocardiography is pivotal for detecting left ventricular hypertrophy (LVH), it struggles with etiology differentiation. To enhance LVH assessment, we aimed to develop an artificial intelligence algorithm using echocardiography-bas...

Proceedings of the Clinical Microbiology Open 2024: artificial intelligence applications in clinical microbiology.

Journal of clinical microbiology
The Clinical Microbiology Open (CMO) is a meeting sponsored by the American Society for Microbiology (ASM) in collaboration with its Corporate Council and Clinical and Public Health Microbiology representatives, which is held to discuss topics that a...

Can Artificial Intelligence Coach Faculty to Utilize Growth Mindset Language? A Qualitative Analysis of Feedback Statements.

The Journal of surgical research
INTRODUCTION: Feedback is at the core of competency-based medical education. Learner perceptions of the evaluation process influence how feedback is utilized. Systems emphasize a fixed mindset, prioritizing evaluation over growth. Embracing growth mi...