Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 22,031 to 22,040 of 216,627 articles

Deep learning-powered quantification of endocrine cells and CD3+ T cells in the natural history of type 1 diabetes.

Diabetologia
AIMS/HYPOTHESIS: Histopathological analysis in type 1 diabetes presents challenges in achieving precise characterisation with cellular quantification from whole-slide images (WSIs). To ensure a comprehensive understanding of changes in endocrine cell... read more 

[Writing with a system-ChatGPT in the scientific practice of orthopedics and trauma surgery].

Orthopadie (Heidelberg, Germany)
With the emergence of generative AI models such as ChatGPT, a new phase of scientific work is also beginning in orthopedics and trauma surgery. As a language-based deep learning model (LLM), ChatGPT offers a wide range of possible applications-especi... read more 

Transcription Factor SPI1 Mediates Chronic Neuropathic Pain by Activating NLRC4 Transcription to Drive Microglial Activation and Inflammation.

Neuromolecular medicine
Microglial polarization plays a key role in the process of chronic neuropathic pain (CNP). This study aims to investigate the molecular mechanism by which the transcription factor SPI1 mediates microglial polarization and participates in CNP by regul... read more 

AI-generated 3D models enhance CBCT interpretation of root canal anatomy among undergraduate and postgraduate students.

Clinical oral investigations
OBJECTIVES: To evaluate the efficacy of artificial intelligence (AI)-driven three-dimensional (3D) anatomical models as an adjunct to cone-beam computed tomography (CBCT) for root canal assessment regarding diagnostic accuracy, observer confidence, a... read more 

A Bayesian approach to temporal surgical segmentation model fusion.

International journal of computer assisted radiology and surgery
PURPOSE: Robotic-assisted surgery (RAS) generates vast amounts of video and robotic data, presenting opportunities for machine learning. Video-based models, in particular, that can temporally segment frames by ontological categories such as procedure... read more 

Metaheuristic optimization based improved neural network for the timely prediction of paddy leaf diseases.

Theory in biosciences = Theorie in den Biowissenschaften
Rice is a fundamental dietary staple that embodies cultural identity, culinary diversity, food security and economic stability, providing a significant portion of daily caloric intake for considerable portion of world populace. However, vulnerability... read more 

The MR quality landscape in Europe.

Insights into imaging
OBJECTIVES: Over the last few years, with the introduction of advanced MR imaging techniques, increasing exam demand and the growth of multi-center clinical trials and artificial intelligence (AI)-driven analysis, it has become increasingly difficult... read more 

Portable Electrochemiluminescence Microarray Sensor for Machine Learning-Assisted Quantitative Analysis of Zearalenone.

Analytical chemistry
Zearalenone (ZEN) is an estrogenic mycotoxin produced by Fusarium fungi and is widely present in cereal-based foodstuffs including wheat, rice, and maize. The exposure to ZEN can cause severe endocrine disruption and reproductive disorders. Therefore... read more