Orthopedics

Latest AI and machine learning research in orthopedics for healthcare professionals.

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Showing 22-42 of 5,177 articles
Machine learning algorithms for risk factor selection with application to 60-day sepsis morbidity risk for a geriatric hip fracture cohort.

BACKGROUND: Sepsis after hip fracture in elderly people is a risk factor for mortality. The purpose ...

Impact of artificial intelligence assistance on bone scintigraphy diagnosis.

Bone scintigraphy is an important tool for detecting bone lesions. This study aimed to improve and e...

A Novel Dual-Output Deep Learning Model Based on InceptionV3 for Radiographic Bone Age and Gender Assessment.

Hand-wrist radiographs are used in bone age prediction. Computer-assisted clinical decision support ...

A Molecular Representation Learning Model Based on Multidimensional Joint and Cross-Learning for Drug-Drug Interaction Prediction.

Drug-drug interactions (DDIs) present significant challenges within clinical pharmacology, as they c...

Incorporating Artificial Intelligence into Fracture Risk Assessment: Using Clinical Imaging to Predict the Unpredictable.

Artificial intelligence (AI) is increasingly being explored as a complementary tool to traditional f...

Artificial intelligence in orthopedics: fundamentals, current applications, and future perspectives.

Conventional diagnostic and therapeutic approaches in orthopedics are frequently time intensive and ...

Artificial intelligence and robotic surgery in clinical medicine: progress, challenges, and future directions.

Technological innovations in medicine are increasingly expected to replicate the diagnostic, decisio...

High-efficiency spatially guided learning network for lymphoblastic leukemia detection in bone marrow microscopy images.

Leukemia is a hematologic tumor that proliferates in bone marrow and seriously affects the survival ...

Deep learning-driven incidental detection of vertebral fractures in cancer patients: advancing diagnostic precision and clinical management.

PURPOSE: Vertebral compression fractures (VCFs) are the most prevalent skeletal manifestations of os...

Drug repurposing for osteoarthritis disease modification in the Early 21 Century.

Osteoarthritis (OA) is a leading cause of disability worldwide, significantly impacting patient mobi...

Higher glass transition temperatures reduce thermal stress cracking in aqueous solutions relevant to cryopreservation.

Cryopreservation by vitrification could transform fields ranging from organ transplantation to wildl...

Multi-omics identification of circulating protein biomarkers for intervertebral disc degeneration using Mendelian randomization and scRNA-seq.

BACKGROUND: Intervertebral disc degeneration (IVDD) is a primary cause of chronic low back pain, sig...

Impact of AI assistance on radiologist interpretation of knee MRI.

OBJECTIVES: Knee injuries frequently require Magnetic Resonance Imaging (MRI) evaluation, increasing...

Enhanced Detection, Using Deep Learning Technology, of Medial Meniscal Posterior Horn Ramp Lesions in Patients with ACL Injury.

BACKGROUND: Meniscal ramp lesions can impact knee stability, particularly when associated with anter...

Predicting distal tibia fracture type using demographic, vehicle, and crash factors via a random forest classification algorithm.

OBJECTIVE: Distal tibia fractures occur in approximately 4% of police-reported crashes where at leas...

CellMet: Extracting 3D shape and topology metrics from confluent cells within tissues.

During development and tissue repair, cells reshape and reconfigure to ensure organs take specific s...

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