AIMC Topic: Artificial Intelligence

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Impact of Artificial Intelligence on Gastroenterology Trainee Education.

Gastrointestinal endoscopy clinics of North America
Artificial intelligence (AI) is transforming gastroenterology, particularly in endoscopy, which has a direct impact on trainees and their education. AI can serve as a valuable resource, providing real-time feedback and aiding in tasks like polyp dete...

Artificial Intelligence in Endoscopy Quality Measures.

Gastrointestinal endoscopy clinics of North America
Quality of gastrointestinal endoscopy is a major determinant of its effectiveness. Artificial intelligence (AI) has the potential to enhance quality monitoring and improve endoscopy outcomes. This article reviews the current literature on AI algorith...

The Role of Artificial Intelligence for Advanced Endoscopy.

Gastrointestinal endoscopy clinics of North America
Artificial intelligence (AI) application in gastroenterology has grown in the last decade and continues to evolve very rapidly. Early promising results have opened the door to explore its potential application to advanced endoscopy (AE). The aim of t...

Role of Artificial Intelligence in the Detection and Management of Premalignant and Malignant Lesions of the Esophagus and Stomach.

Gastrointestinal endoscopy clinics of North America
The advent of artificial intelligence (AI) and deep learning algorithms, particularly convolutional neural networks, promises to address pitfalls, bridging the care for patients at high risk with improved detection (computer-aided detection [CADe]) a...

Natural Language Processing in Gastroenterology: Current Applications and Future Directions.

Gastrointestinal endoscopy clinics of North America
Natural language processing (NLP), a branch of artificial intelligence, has rapidly gained importance in health care for converting unstructured clinical data into structured formats, enhancing decision-making, research, and patient care. Gastroenter...

Advances in the Application of Artificial Intelligence in the Ultrasound Diagnosis of Vulnerable Carotid Atherosclerotic Plaque.

Ultrasound in medicine & biology
Vulnerable atherosclerotic plaque is a type of plaque that poses a significant risk of high mortality in patients with cardiovascular disease. Ultrasound has long been used for carotid atherosclerosis screening and plaque assessment due to its safety...

Implementation of artificial intelligence approaches in oncology clinical trials: A systematic review.

Artificial intelligence in medicine
INTRODUCTION: There is a growing interest in leveraging artificial intelligence (AI) technologies to enhance various aspects of clinical trials. The goal of this systematic review is to assess the impact of implementing AI approaches on different asp...

AI-generated cancer prevention influencers can target risk groups on social media at low cost.

European journal of cancer (Oxford, England : 1990)
BACKGROUND: This study explores the potential of Artificial Intelligence (AI)-generated social media influencers to disseminate cancer prevention messages. Utilizing a Generative AI (GenAI) application, we created a virtual persona, "Wanda", to promo...

AI-based assessment of longitudinal multiple sclerosis MRI: Strengths and weaknesses in clinical practice.

European journal of radiology
OBJECTIVES: In Multiple Sclerosis (MS) cerebral MRI is essential for disease and treatment monitoring. For this purpose, software solutions are available to support the radiologist with image interpretation and reporting of follow up imaging. Aim of ...

Automated segmentation of child-clinician speech in naturalistic clinical contexts.

Research in developmental disabilities
BACKGROUND: Computational approaches hold significant promise for enhancing diagnosis and therapy in child and adolescent clinical practice. Clinical procedures heavily depend n vocal exchanges and interpersonal dynamics conveyed through speech. Rese...