AIMC Topic: Artificial Intelligence

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Detection of caries around restorations on bitewings using deep learning.

Journal of dentistry
OBJECTIVE: Secondary caries lesions adjacent to restorations, a leading cause of restoration failure, require accurate diagnostic methods to ensure an optimal treatment outcome. Traditional diagnostic strategies rely on visual inspection complemented...

Ophthalmology Optical Coherence Tomography Databases for Artificial Intelligence Algorithm: A Review.

Seminars in ophthalmology
BACKGROUND: Imaging plays a pivotal role in eye assessment. With the introduction of advanced machine learning and artificial intelligence (AI), the focus has shifted to imaging datasets in ophthalmology. While disparities and health inequalities hid...

Speed, accuracy, and efficiency: The promises and practices of digitization in pathology.

Social science & medicine (1982)
Digitization is often presented in policy discourse as a panacea to a multitude of contemporary problems, not least in healthcare. How can policy promises relating to digitization be assessed and potentially countered in particular local contexts? Ba...

Toward the novel AI tasks in infection biology.

mSphere
Machine learning and artificial intelligence (AI) are becoming more common in infection biology laboratories around the world. Yet, as they gain traction in research, novel frontiers arise. Novel artificial intelligence algorithms are capable of addr...

An artificial intelligence based abdominal aortic aneurysm prognosis classifier to predict patient outcomes.

Scientific reports
Abdominal aortic aneurysms (AAA) have been rigorously investigated to understand when their clinically-estimated risk of rupture-an event that is the 13th leading cause of death in the US-exceeds the risk associated with repair. Yet the current clini...

Performance of ChatGPT on the Chinese Postgraduate Examination for Clinical Medicine: Survey Study.

JMIR medical education
BACKGROUND: ChatGPT, an artificial intelligence (AI) based on large-scale language models, has sparked interest in the field of health care. Nonetheless, the capabilities of AI in text comprehension and generation are constrained by the quality and v...

Proposing a Principle-Based Approach for Teaching AI Ethics in Medical Education.

JMIR medical education
The use of artificial intelligence (AI) in medicine, potentially leading to substantial advancements such as improved diagnostics, has been of increasing scientific and societal interest in recent years. However, the use of AI raises new ethical chal...

Challenging the Chatbot: An Assessment of ChatGPT's Diagnoses and Recommendations for DBP Case Studies.

Journal of developmental and behavioral pediatrics : JDBP
OBJECTIVE: Chat Generative Pretrained Transformer-3.5 (ChatGPT) is a publicly available and free artificial intelligence chatbot that logs billions of visits per day; parents may rely on such tools for developmental and behavioral medical consultatio...

Exploring the Methodological Approaches of Studies on Radiographic Databases Used in Cariology to Feed Artificial Intelligence: A Systematic Review.

Caries research
INTRODUCTION: A growing number of studies on diagnostic imaging show superior efficiency and accuracy of computer-aided diagnostic systems compared to those of certified dentists. This methodological systematic review aimed to evaluate the different ...