AIMC Topic: Artificial Intelligence

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AI-driven tongue image analysis for diagnosing and predicting coronary artery disease.

Scientific reports
Coronary artery disease is a leading cause of mortality worldwide, with current diagnostic methods presenting challenges of invasiveness and accuracy. This study investigates artificial intelligence-powered tongue image analysis as a novel, non-invas...

The impact of positive attitude towards artificial intelligence and multiple mediation functions of satisfying basic psychological needs.

Scientific reports
With the wide application of Artificial Intelligence (AI) in the health field, this study aims to explore the intrinsic connections among AI, individual psychology, and digital health, and reveal the multiple mediating roles of positive attitudes tow...

Fostering Multidisciplinary Collaboration in Artificial Intelligence and Machine Learning Education: Tutorial Based on the AI-READI Bootcamp.

JMIR medical education
BACKGROUND: The integration of artificial intelligence (AI) and machine learning (ML) into biomedical research requires a workforce fluent in both computational methods and clinical applications. Structured, interdisciplinary training opportunities r...

Systematic Determinants of Global COVID-19 Burden: Longitudinal Time-Series Analysis Using Big Data-Driven Artificial Intelligence.

Journal of medical Internet research
BACKGROUND: The COVID-19 pandemic has transitioned into an endemic phase with heterogeneous resurgences. Despite widespread vaccination and public health measures, the interplay of viral evolution, population immunity, and environmental factors drive...

The Use of Artificial Intelligence for Personalized Treatment in Psychiatry.

Current psychiatry reports
PURPOSE OF REVIEW: This review examines the role of artificial intelligence (AI) in psychiatry in the past 5 years across four domains: screening; outcome prediction; risk and relapse prediction; and psychotherapy.

AI evolution: bring biomimicry to language models.

Bioinspiration & biomimetics
Humans can now emulate language in silica-based neural networks, but we remain ignorant about how language emerged in carbon-based neural networks in the first place. This gap represents not merely a scientific blind spot, but a unique opportunity to...

Development of an automated ultrasonographic detection method for fecal retention using a transgluteal cleft approach.

PloS one
This study aimed to develop an artificial intelligence-based classification system using ultrasound images obtained via a transgluteal cleft scanning approach for detecting fecal retention in the lower rectum. The goal was to support accurate, object...

Artificial Intelligence Methods for the Differential Diagnosis of Irritable Bowel Syndrome and Inflammatory Bowel Disease: A Systematic Review.

Journal of gastrointestinal and liver diseases : JGLD
BACKGROUND AND AIMS: Differential diagnosis between irritable bowel syndrome (IBS) and inflammatory bowel disease (IBD) represents a major challenge in modern gastroenterology due to overlapping symptoms, limitations of traditional diagnostic methods...

Ethical challenges and governance of artificial intelligence in hepatocellular carcinoma management : Wan DL et al. Ethical considerations in AI for hepatocellular carcinoma.

Medical oncology (Northwood, London, England)
The integration of artificial intelligence (AI) into hepatocellular carcinoma (HCC) management introduces significant ethical challenges, which are shaped by the disease's unique epidemiology and clinical complexity. In this review, we systematically...