AIMC Topic: Artificial Intelligence

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The efficiency of artificial intelligence for management and clinical decision-making in the identification of patients with hidden HCV infection (Intelligen-C strategy).

Gastroenterologia y hepatologia
INTRODUCTION: Artificial intelligence (AI) allows the optimization of diagnostic processes for hepatitis C virus (HCV) patients. Our objective was to evaluate the clinical, economic, and management benefits of an AI-based clinical decision support sy...

Using artificial intelligence to semi-automate trustworthiness assessment of randomized controlled trials: a case study.

Journal of clinical epidemiology
BACKGROUND AND OBJECTIVE: Randomized controlled trials (RCTs) are the cornerstone of evidence-based medicine. Unfortunately, not all RCTs are based on real data. This serious breach of research integrity compromises the reliability of systematic revi...

Artificial intelligence and employee outcomes: Investigating the role of job insecurity and technostress in the hospitality industry.

Acta psychologica
Drawing on self-determination theory (SDT), this research examines how the utilization of artificial intelligence (AI) in hospitality organizations is influencing employee work and career outcomes (well-being and career success). We explore the under...

The promise of AI in healthcare: transforming communication and decision-making for patients.

Journal of communication in healthcare
By addressing communication gaps, the integration of AI tools in healthcare has a greater ability to improve decision-making and to empower patients with more control over their health. Current systems for navigating healthcare - such as finding prov...

The ChatGPT Fact-Check: exploiting the limitations of generative AI to develop evidence-based reasoning skills in college science courses.

Advances in physiology education
Generative large language models (LLMs) like ChatGPT can quickly produce informative essays on various topics. However, the information generated cannot be fully trusted, as artificial intelligence (AI) can make factual mistakes. This poses challenge...

Highlights of Precision Medicine, Genetics, Epigenetics and Artificial Intelligence in Pompe Disease.

International journal of molecular sciences
Pompe disease is a neuromuscular disorder caused by a deficiency of the enzyme acid alpha-glucosidase (), which leads to lysosomal glycogen accumulation and progressive development of muscle weakness. Two distinct isoforms have been identified. In th...

Medical students' attitudes toward AI in education: perception, effectiveness, and its credibility.

BMC medical education
BACKGROUND: The rapid advancement of artificial intelligence (AI) has revolutionized both medical education and healthcare by delivering innovative tools that enhance learning and improve overall outcomes. The study aimed to assess students' percepti...

ChatGPT and oral cancer: a study on informational reliability.

BMC oral health
BACKGROUND: Artificial intelligence (AI) and large language models (LLMs) like ChatGPT have transformed information retrieval, including in healthcare. ChatGPT, trained on diverse datasets, can provide medical advice but faces ethical and accuracy co...

Mitigating bias in AI mortality predictions for minority populations: a transfer learning approach.

BMC medical informatics and decision making
BACKGROUND: The COVID-19 pandemic has highlighted the crucial role of artificial intelligence (AI) in predicting mortality and guiding healthcare decisions. However, AI models may perpetuate or exacerbate existing health disparities due to demographi...

Development of a clinical prediction model for benign and malignant pulmonary nodules with a CTR ≥ 50% utilizing artificial intelligence-driven radiomics analysis.

BMC medical imaging
OBJECTIVE: In clinical practice, diagnosing the benignity and malignancy of solid-component-predominant pulmonary nodules is challenging, especially when 3D consolidation-to-tumor ratio (CTR) ≥ 50%, as malignant ones are more invasive. This study aim...