Medical imaging applications developed using artificial intelligence demonstrate high internal validity yet are limited in scope and lack external validation
Purpose To (1) review definitions and concepts necessary to interpret applications of deep
learning (DL; a domain of artificial intelligence (AI) that leverages neural networks to make …
learning (DL; a domain of artificial intelligence (AI) that leverages neural networks to make …
The Role of Artificial Intelligence in Anterior Cruciate Ligament Injuries: Current Concepts and Future Perspectives
L Andriollo, A Picchi, R Sangaletti, L Perticarini… - Healthcare, 2024 - mdpi.com
The remarkable progress in data aggregation and deep learning algorithms has positioned
artificial intelligence (AI) and machine learning (ML) to revolutionize the field of medicine. AI …
artificial intelligence (AI) and machine learning (ML) to revolutionize the field of medicine. AI …
Recommended requirements and essential elements for proper reporting of the use of artificial intelligence machine learning tools in biomedical research and …
MP Cote, JH Lubowitz - Arthroscopy: The Journal of Arthroscopic & Related …, 2024 - Elsevier
Essential elements required for proper use of artificial intelligence machine learning tools in
biomedical research and scientific publications include (1) explanation justifying why a …
biomedical research and scientific publications include (1) explanation justifying why a …
Improved anterior cruciate ligament tear diagnosis using gated recurrent unit networks and Hybrid Tasmanian Devil Optimization
S Chan, M Zhang, YY Zhi, S Razmjooy… - … Signal Processing and …, 2024 - Elsevier
A tear named anterior cruciate ligament (ACL) is a frequently occurring sports injury that can
lead to long-term damage to the knee and impair athletic performance. MRI (Imaging of …
lead to long-term damage to the knee and impair athletic performance. MRI (Imaging of …
Transformer-based Multi-label Deep Learning Model is Efficient for Detecting Ankle Lateral and Medial Ligament Injuries on MRI and Improving Clinicians' Diagnostic …
R Yin, H Chen, C Wang, C Qin, T Tao, Y Hao… - … : The Journal of …, 2024 - Elsevier
Purpose To develop a deep learning (DL) model that can simultaneously detect lateral and
medial collateral ligament injuries of the ankle, aiding in the diagnosis of chronic ankle …
medial collateral ligament injuries of the ankle, aiding in the diagnosis of chronic ankle …
Medical students' perceptions of an artificial intelligence (AI) assisted diagnosing program
E Robleto, A Habashi, MAB Kaplan, RL Riley… - Medical …, 2024 - Taylor & Francis
As artificial intelligence (AI) assisted diagnosing systems become accessible and user-
friendly, evaluating how first-year medical students perceive such systems holds substantial …
friendly, evaluating how first-year medical students perceive such systems holds substantial …
Artificial Intelligence and Machine Learning May Resolve Health Care Information Overload
Biomedical information doubles almost every two months, and this very rate is expected to
double by 2025. The result is information overload for clinicians and researchers. Today …
double by 2025. The result is information overload for clinicians and researchers. Today …
[HTML][HTML] Segond Fractures Can Be Identified With Excellent Accuracy Utilizing Deep Learning on Anteroposterior Knee Radiographs
JF Oeding, A Pareek, KN Kunze… - … , Sports Medicine, and …, 2024 - Elsevier
Purpose To (1) develop a deep learning model for the detection of Segond fractures on
anteroposterior (AP) knee radiographs and (2) to compare model performance to that of …
anteroposterior (AP) knee radiographs and (2) to compare model performance to that of …
[引用][C] Complete or a partial ACL tear, is ACL surgery necessary?
RA Hauser, DR Steilen-Matias, PAC MMS