Artificial Intelligence Medical Compendium

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

Showing 29,841 to 29,850 of 219,931 articles

Automated Classification of Alveolar Bone Defects for Preoperative Augmentation Planning Using Deep Learning.

The International journal of oral & maxillofacial implants
OBJECTIVES: Determining alveolar bone deficiencies prior to dental implant surgeries is critical for surgical planning. This study aimed to develop a deep learning-based framework that can automatically detect and classify alveolar ridge deficiencies... read more 

Development and external validation of a novel prediction model for the TraumaTriage App.

European journal of trauma and emergency surgery : official publication of the European Trauma Society
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Random forest-based medical geography: geographical distribution of reference values for LP-PLA2 in healthy adults in China.

International journal of biometeorology
Lipoprotein-associated phospholipase A2 (LP-PLA2), a vascular-specific inflammatory marker, is associated with coronary heart disease (CHD), a highly prevalent condition among middle-aged and older adults. It explores the relationship between environ... read more 

Development of a real-world, therapeutic drug monitoring-informed model to predict teicoplanin daily dose in pediatric intensive care unit patients with bacterial infections.

International journal of clinical pharmacy
INTRODUCTION: Teicoplanin is commonly used to treat Gram-positive bacterial infections in the intensive care unit (ICU). However, evidence to support individualized therapeutic drug monitoring (TDM)-guided daily dosing of teicoplanin in pediatric ICU... read more 

Designing Rosie the Chatbot with and for Pregnant and New Mothers of Color:  a Community-Engaged Study Leveraging Artificial Intelligence and Prevention Science to Improve Maternal and Child Health Outcomes.

Prevention science : the official journal of the Society for Prevention Research
Maternal and child health is widely recognized as a marker for a healthy society. According to the Centers for Disease Control and Prevention, the US maternal mortality rates have remained high, with over 1200 maternal deaths occurring in 2021. Recog... read more 

Promptable segmentation with region exploration enables minimal-effort expert-level prostate cancer delineation.

International journal of computer assisted radiology and surgery
PURPOSE: Accurate segmentation of prostate cancer on magnetic resonance (MR) images is crucial for planning image-guided interventions such as targeted biopsies, cryoablation, and radiotherapy. However, subtle and variable tumour appearances, differe... read more 

Training in diagnostic and interventional endoscopic ultrasound: a state-of-the-art review.

Expert review of gastroenterology & hepatology
INTRODUCTION: Endoscopic ultrasound (EUS) has progressed from a primarily diagnostic modality to an essential diagnostic and therapeutic platform. The rapid expansion of EUS indications, particularly in advanced biliopancreatic interventions, has exp... read more 

Making invisible excited-state structures of pro-interleukin-18 visible by combining NMR and machine learning.

Proceedings of the National Academy of Sciences of the United States of America
NMR spectroscopy is a powerful tool for studies of protein dynamics over timescales extending more than twelve orders of magnitude, with motion queried at many of the backbone and sidechain positions in the molecule of interest. NMR experiments can, ... read more 

Sparse identification of nonlinear dynamics and Koopman operators with Shallow Recurrent Decoder Networks.

Proceedings of the National Academy of Sciences of the United States of America
Modeling real-world spatiotemporal data is exceptionally difficult due to inherent high dimensionality, measurement noise, partial observations, and often expensive data collection procedures. In this paper, we present Sparse Identification of Nonlin... read more