Artificial Intelligence Medical Compendium

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

Showing 311 to 320 of 157,320 articles

Autonomous screening of infants at high risk for neurodevelopmental impairments using a radar sensor and machine learning.

Scientific reports
Neurodevelopmental impairments (NDIs) are significant long-term complications in preterm infants. While early recognition of infants at high risk for NDIs is essential for enabling timely intervention, it remains a challenging endeavor. Autonomous sc...

Multi-omics analysis of the effects of pla2g4a on the prognosis of various cancers and its experimental validation in breast cancer cell lines.

Discover oncology
BACKGROUND: Platelet-related exosomes (PREs) are microparticles secreted by platelets into the bloodstream and are implicated in various cancer processes. This study aims to identify critical genes involved in Breast Cancer (BC)-associated PREs and t...

Gender difference in cross-sectional area and fat infiltration of thigh muscles in the elderly population on MRI: an AI-based analysis.

European radiology experimental
BACKGROUND: Aging alters musculoskeletal structure and function, affecting muscle mass, composition, and strength, increasing the risk of falls and loss of independence in older adults. This study assessed cross-sectional area (CSA) and fat infiltrat...

Multilayer perceptron deep learning radiomics model based on Gd-BOPTA MRI to identify vessels encapsulating tumor clusters in hepatocellular carcinoma: a multi-center study.

Cancer imaging : the official publication of the International Cancer Imaging Society
OBJECTIVES: The purpose of this study is to mainly develop a predictive model based on clinicoradiological and radiomics features from preoperative gadobenate-enhanced (Gd-BOPTA) magnetic resonance imaging (MRI) using multilayer perceptron (MLP) deep...

Dynamicasome-a molecular dynamics-guided and AI-driven pathogenicity prediction catalogue for all genetic mutations.

Communications biology
Advances in genomic medicine accelerate the identification of mutations in disease-associated genes, but the pathogenicity of many mutations remains unknown, hindering their use in diagnostics and clinical decision-making. Predictive AI models are ge...

The development of the generative adversarial supporting vector machine for molecular property generation.

Journal of cheminformatics
The generative adversarial network (GAN) is a milestone technique in artificial intelligence, and it is widely used in image generation. However, it has a large hyper-parameter space, which makes it difficult for training. In this work, we propose a ...

External validation of an artificial intelligence tool for fracture detection in children with osteogenesis imperfecta: a multireader study.

European radiology
OBJECTIVE: To determine the performance of a commercially available AI tool for fracture detection when used in children with osteogenesis imperfecta (OI).

Prediction model of recurrence in patients with lumbar disc herniation after unilateral biportal endoscopy spinal surgery- XGBoost machine learning model can be interpreted based on SHAP.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society

Whole‑exome evolutionary profiling of osteosarcoma uncovers metastasis‑related driver mutations and generates an independently validated predictive classifier.

Journal of translational medicine
BACKGROUND: Osteosarcoma is the most common primary malignant bone tumor, with high invasiveness and metastatic potential and a poor prognosis in patients with metastatic cancer. Despite the rapid advancements in genomics in recent years that provide...