Artificial Intelligence Medical Compendium

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

Showing 361 to 370 of 158,269 articles

Radiomics in Early Detection of Pancreatic Ductal Adenocarcinoma: A Close Look at Its Current Status and Challenges to Clinical Implementation.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Radiomics is a mathematical approach to medical images to extract quantitative features generating a "radiomics signature." The radiomics workflow involves image acquisition and pre-processing, region of interest segmentation, feature extraction, and...

Generative Deep Learning for de Novo Drug Design─A Chemical Space Odyssey.

Journal of chemical information and modeling
In recent years, generative deep learning has emerged as a transformative approach in drug design, promising to explore the vast chemical space and generate novel molecules with desired biological properties. This perspective examines the challenges ...

Enhancing Graph Neural Networks for Out-of-Distribution Graph Detection.

IEEE transactions on neural networks and learning systems
Graph neural networks (GNNs) have shown promise in graph classification tasks, but they struggle to identify out-of-distribution (OOD) graphs often encountered in real-world scenarios, posing a significant obstacle for their open-world deployment. Du...

Cancer Research in the 21st Century: Recent Advances and Future Perspectives.

Zhongguo ying yong sheng li xue za zhi = Zhongguo yingyong shenglixue zazhi = Chinese journal of applied physiology
INTRODUCTION: Cancer remains a major global health concern, accounting for nearly 10 million deaths annually. Despite its complexity and heterogeneity, significant advancements in cancer research over the past two decades have transformed the landsca...

Enhancing medical students' diagnostic accuracy of infectious keratitis with AI-generated images.

BMC medical education
BACKGROUND: Developing students' ability to accurately diagnose various types of keratitis is challenging. This study aims to compare the effectiveness of teaching methods-real cases, artificial intelligence (AI)-generated images, and real medical im...

Integrating deep learning in stride-to-stride muscle activity estimation of young and old adults with wearable inertial measurement units.

Scientific reports
Deep learning has become powerful and yet versatile tool that allows for the extraction of complex patterns from rich datasets. One field that can benefits from this advancement is human gait analysis. Conventional gait analysis requires a specialize...

TCMP-300: A Comprehensive Traditional Chinese Medicinal Plant Dataset for Plant Recognition.

Scientific data
Traditional Chinese Medicinal Plants (TCMPs) are often used to prevent and treat diseases for the human body. Since various medicinal plants have different therapeutic effects, plant recognition has become an important topic. Traditional identificati...

Overcoming Information Sparsity in Metasurfaces for Full-Color Holography via End-to-End Design.

Nano letters
We propose an end-to-end (E2E) system for RGB meta-hologram generation that efficiently determines the optimal material and geometry for target holograms, eliminating the need for exhaustive simulations of every possible meta-atom configuration. A ne...

Predicting time-to-first cancer diagnosis across multiple cancer types.

Scientific reports
Cancer causes over 10 million deaths annually worldwide, with 40.5% of Americans expected to be diagnosed in their lifetime. Early detection is critical; for liver cancer, survival rates improve from 4 to 37% when caught early. However, predicting ti...

Differentiated thyroid cancer and positron emission computed tomography: when, how and why?

Expert review of anticancer therapy
INTRODUCTION: Fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) has become an indispensable tool in oncology, offering both metabolic and anatomical insights into tumor behavior. Most differentiated thyroid carcinomas (...