Artificial Intelligence Medical Compendium

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

Showing 1,331 to 1,340 of 6,855 articles

Development of a machine learning model to identify the predictors of the neonatal intensive care unit admission.

Scientific reports
Scientists aim to create a system that can predict the likelihood of newborns being admitted to the neonatal intensive care unit (NICU) by combining various statistical methods. This prediction could potentially reduce the negative health outcomes, d... read more 

Deep learning for occupation recognition and knowledge discovery in rheumatology clinical notes.

Scientific reports
Occupational data is a crucial social determinant of health, influencing diagnostic accuracy, treatment strategies, and policy-making in healthcare. However, its inclusion in electronic health records (EHR) is often relegated to unstructured fields. ... read more 

Understanding the role of urban block morphology in innovation vitality through explainable machine learning.

Scientific reports
Innovative activities are a key driver of economic and social development, with urban blocks serving as essential hubs for innovation. However, how urban block morphology shapes innovation vitality remains challenging. This study uses spatial analysi... read more 

Exploring the spatiotemporal influence of climate on American avian migration with random forests.

Scientific reports
Birds have adapted to climatic and ecological cycles to inform their Spring and Fall migration timings, but anthropogenic global warming has affected these long-establish cycles. Understanding these dynamics is critical for conservation during a chan... read more 

Large language models provide discordant information compared to ophthalmology guidelines.

Scientific reports
To evaluate the agreement of LLMs with the Preferred Practice Patterns (PPP) guidelines developed by the American Academy of Ophthalmology (AAO). Open questions based on the AAO PPP were submitted to five LLMs: GPT-o1 and GPT-4o by OpenAI, Claude 3.5... read more 

Comparison of physician and large language model chatbot responses to online ear, nose, and throat inquiries.

Scientific reports
Large language models (LLMs) can potentially enhance the accessibility and quality of medical information. This study evaluates the reliability and quality of responses generated by ChatGPT-4, an LLM-driven chatbot, compared to those written by physi... read more 

AI-driven analysis by identifying risk factors of VL relapse in HIV co-infected patients.

Scientific reports
Visceral Leishmaniasis (VL), also known as Kala-Azar, poses a significant global public health challenge and is a neglected disease, with relapses and treatment failures leading to increased morbidity and mortality. This study introduces an explainab... read more 

A machine learning-based framework for predicting metabolic syndrome using serum liver function tests and high-sensitivity C-reactive protein.

Scientific reports
Metabolic Syndrome (MetS) comprises a clustering of conditions that significantly increase the risk of heart disease, stroke, and diabetes. Timely detection and intervention are crucial in preventing severe health outcomes. In this study, we implemen... read more 

Physical education teaching design under the STEAM concept using the convolutional neural network.

Scientific reports
With the continuous progress of science and technology and the increasing complexity of tasks, traditional physical education (PE) teaching methods are becoming insufficient to meet modern research demands. This work aims to design an efficient deep ... read more 

Leveraging an ensemble of EfficientNetV1 and EfficientNetV2 models for classification and interpretation of breast cancer histopathology images.

Scientific reports
Breast cancer is the second leading cause of cancer-related deaths among women, following lung cancer, as of 2024. Conventional cancer diagnosis relies on the manual examination of biopsied tissues by pathologists, a time-consuming process that may v... read more