Artificial intelligence in orthopedics: fundamentals, current applications, and future perspectives
Abstract Conventional diagnostic and therapeutic approaches in orthopedics are frequently time intensive and associated with elevated rates of diagnostic error, underscoring the urgent need for more efficient tools to improve the current situation. Recently, artificial intelligence (AI) has been inc...
Saved in:
| Main Authors: | Jian Song, Guang-Chao Wang, Si-Cheng Wang, Chong-Ru He, Ying-Ze Zhang, Xiao Chen, Jia-Can Su |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-08-01
|
| Series: | Military Medical Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40779-025-00633-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Artificial intelligence use in diagnosis, grading, and segmentation of neuro-oncology: a narrative review
by: Adham Al-Rahbi, et al.
Published: (2025-06-01) -
The urban heat Island effect: A review on predictive approaches using artificial intelligence models
by: Ali Najah Ahmed, et al.
Published: (2025-12-01) -
Artificial Intelligence (AI) approach for the quantification of C-phycocyanin in Spirulina platensis: Hybrid stacking-ensemble model based on machine learning and deep learning
by: Jun Wei Roy Chong, et al.
Published: (2025-12-01) -
A Narrative Review of Artificial Intelligence in MRI-Guided Prostate Cancer Diagnosis: Addressing Key Challenges
by: Deniz Alis, et al.
Published: (2025-05-01) -
A comprehensive systematic review of intrusion detection systems: emerging techniques, challenges, and future research directions
by: Arjun Kumar Bose Arnob, et al.
Published: (2025-05-01)