Related Experiment Video

Updated: Feb 26, 2026

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.6K

Performance comparison and future perspectives of deep learning and classical machine learning in bone tumor

Yu Qiao1, Carolin Eisfeld2, Rüdiger von Eisenhart-Rothe2

  • 1Department of Orthopaedics and Sports Orthopaedics, School of Medicine and Health, TUM University Hospital, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany. yu.qiao@tum.de.

BMC Medical Informatics and Decision Making
|February 24, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Artificial intelligenceBone tumorClassical machine learningDeep learningDiagnostic performanceSystematic review

More Related Videos

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.9K

Related Experiment Videos

Last Updated: Feb 26, 2026

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.6K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.9K

Related Concept Videos

Classification of Bones01:18

Classification of Bones

10.5K
The bones of the human skeletal system are of varied shapes, sizes, and functions. They can be classified based on their shape and function into four major classes: long bones, short bones, flat bones, and irregular bones. Some classifications include a fifth type, the sesamoid bones, as a separate class, whereas others categorize them under short bones.
Long and Short Bones
The appendicular skeleton, particularly the upper and lower limbs, is primarily made of long and short bones. The...
10.5K
Targeted Cancer Therapies02:57

Targeted Cancer Therapies

9.0K
The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
There are several types of targeted therapies against...
9.0K

Articles linked to this work by shared authors, journal, and citation graph.

Arthritis/Rheumatism and Depressive Symptoms in Middle-Aged and Older Chinese Adults: Regression and Symptom Network Evidence from CHARLS 2018.

Healthcare (Basel, Switzerland)·2026

[Computer-assisted sensing in periprosthetic joint infection : Current evidence and future perspectives for wearables].

Orthopadie (Heidelberg, Germany)·2026

GLP-1 receptor agonists in hip, knee and shoulder arthroplasty: Implications for obesity, osteoarthritis, metabolic optimisation and complications.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA·2026

Promises and limitations of deep learning for predicting knee osteoarthritis progression from medical imaging: A systematic review.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA·2026

Laxity phenotyping in total knee arthroplasty: A current concept article.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA·2026

Joint-specific measures improve risk adjustment in total knee arthroplasty: A machine learning approach.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA·2026

Machine learning-based prediction model for predicting the impact of insulin resistance on the risk of ischemic cardiomyopathy.

BMC medical informatics and decision making·2026

Decentralized rare disease studies in Germany: first results and hurdles of secondary use of patient data.

BMC medical informatics and decision making·2026

The word and the way: strategies for domain-specific BERT pre-training in German medical NLP.

BMC medical informatics and decision making·2026

GERBEHRT: a BERT-based model tailored for German electronic health records - potential in chronic kidney disease prediction.

BMC medical informatics and decision making·2026

Provider perspectives of clinical decision support for chronic kidney disease management: a cross-sectional study.

BMC medical informatics and decision making·2026

Based on the middle ear negative pressure and multimodal data to construct and externally validate the predictive model for pediatric obstructive sleep apnea.

BMC medical informatics and decision making·2026

Evaluating molecular docking for binding affinity predictions: a systematic analysis of key parameters and the utility of AlphaFold2 structures for the Schrödinger dataset.

Journal of computer-aided molecular design·2026

Comparison of T1w, T2w, and T1w/T2w MRI methods for perivascular space quantification.

Neuroradiology·2026

Bibliometric Analysis of Hospital Audit Research in China (2010-2025): Trends and Emerging Research Topics.

Journal of visualized experiments : JoVE·2026

Performance and label efficiency of traditional deep-learning models and a retina-specific foundation model for ocular and systemic disease detection: a retrospective comparative study.

The Lancet. Digital health·2026

Minimal-alphabet proteins by evolution, engineering, and design.

Trends in biochemical sciences·2026

Artificial intelligence-driven study selection in systematic reviews of randomized controlled trials, emulated trials and economic evaluation studies using large language models.

PLOS digital health·2026
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies
Jove
Visualize
Contact Us