2023
Emergent Applications of Machine Learning for Diagnosing and Managing Appendicitis: A State-of-the-Art Review
Bhandarkar S, Tsutsumi A, Schneider E, Ong C, Paredes L, Brackett A, Ahuja V. Emergent Applications of Machine Learning for Diagnosing and Managing Appendicitis: A State-of-the-Art Review. Surgical Infections 2023, 25: 7-18. PMID: 38150507, DOI: 10.1089/sur.2023.201.Peer-Reviewed Original ResearchArtificial intelligence toolsNew artificial intelligence toolsArtificial neural networkSupport vector machineMachine learning-based toolLearning-based toolIntelligence toolsMachine learningUse casesNeural networkVector machineRandom forestAverage accuracyNovel solutionMachineEmergent applicationsAlgorithmOptimal modelQueriesHigh operator dependencyArt reviewAccuracyToolNetworkOperator dependency
2021
OTHR-12. The development of machine learning algorithms for the differentiation of glioma and brain metastases – a systematic review
Brim W, Jekel L, Petersen G, Subramanian H, Zeevi T, Payabvash S, Bousabarah K, Lin M, Cui J, Brackett A, Mahajan A, Johnson M, Mahajan A, Aboian M. OTHR-12. The development of machine learning algorithms for the differentiation of glioma and brain metastases – a systematic review. Neuro-Oncology Advances 2021, 3: iii17-iii17. PMCID: PMC8351249, DOI: 10.1093/noajnl/vdab071.067.Peer-Reviewed Original ResearchConvolutional neural networkDeep learningML algorithmsMachine Learning AlgorithmsApplication of machineClassical ML algorithmsDevelopment of machineSupport vector machine algorithmVector machine algorithmArtificial intelligenceMachine learningSearch strategyDL modelsLearning algorithmFeature extractionNeural networkMachine algorithmAverage accuracyML methodsCML algorithmAlgorithmHigh accuracyLearningMachineAccuracy