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Philips Healthcare deep learning algorithm
Deep Learning Algorithm, supplied by Philips Healthcare, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/deep+learning/algorithm+learning+machine+multi+step/pm42275855-41-9-12
Average 86 stars, based on 1 article reviews

deep learning algorithm - by Bioz Stars, 2026-10

86/100 stars

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Article Title: The Intelligent Probe – Redefining Transesophageal Echocardiography in the Era of Artificial Intelligence
Article Snippet: Anatomical intelligence in ultrasound is a machine-learning system, primarily developed by Philips Healthcare that can automatically identify and quantify anatomical images during ultrasound examination.

Article Title: Accuracy of 3-dimensional echocardiography in measuring right ventricular volumes and ejection fraction: a systematic review and meta-analysis
Article Snippet: Genovese et al. 2019 [ ] , 2019 , Normal (31% of the patients), HFrEF (21% of the patients), IHD (14% of the patients) , 56 , 52 ± 16 , Apical four-chamber (4Ch) RV-focused view , An iE33 or EPIQ 7C system (Philips Healthcare, Andover, MA), equipped with an X5-1 phase array transducer. Used machine learning (ML)-based 3D echocardiography (3DE) algorithm , New Machine Learning approach (3D Auto RV, Philips Healthcare) on a commercial platform for data management (QLAB, Philips) , Fully automated analysis was accurate in 32% of patients, Minimal manual editing was required in 68% of patients.

Article Title: The Role of Artificial Intelligence in Diagnosing Pulmonary Embolism: A Systematic Review and Meta-analysis
Article Snippet: Wittenberg, 2010, Netherlands , Internal , Multi-step machine learning algorithm , FNN , Philips , CTPA , 57 ± 24.8 , 140(50.39) , 24.4% , 278 , 68 , 210.

Article Title: Effect of a Decellularized Tendon-Based Mitral Annuloplasty Ring on Regurgitation Suppression in Degenerative Mitral Regurgitation Model: An In Vitro Pulsatile Circulation Study
Article Snippet: After performing MVr with each ring type, the MVA was measured using the area-trace method with 3D echocardiography (Epic CVx3D; Philips, Amsterdam, Netherlands).

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Article Title: Accuracy of 3-dimensional echocardiography in measuring right ventricular volumes and ejection fraction: a systematic review and meta-analysis.
Article Snippet: Semi-automatic Table 1 (continued) Study ID Year Population Sample Size Age (years) 3DE view and methods Hardware Software Tracking of endocardium Genovese et al. 2019 [51] 2019 Normal (31% of the patients), HFrEF (21% of the patients), IHD (14% of the patients) 56 52 ± 16 Apical fourchamber (4Ch) RV-focused view An iE33 or EPIQ 7C system (Philips Healthcare, Andover, MA), equipped with an X5-1 phase array transducer. .. Used machine learning (ML)-based 3D echocardiography (3DE) algorithm New Machine Learning approach (3D Auto RV, Philips Healthcare) on a commercial platform for data management (QLAB, Philips) Fully automated analysis was accurate in 32% of patients, Minimal manual editing was required in 68% of patients Greiner et al. 2019 [52] 2019 Normal myocardial function without significant CAD:15 patients, CAD: 10 patients, Cardiomyopathy: 14 patients, Cardiac arrhythmia: 4, Post heart transplantation: 2, Atrial septal defect: 1, Systemic vasculitis:1 42 53 ± 19 Apical 4 chamber window Vivid E9 BT 11, GE Healthcare Vingmed, Trondheim, Norway. using a 1.5e4.6 MHz phased array probe (M5S-D) and an active-matrix four-dimensional volume phased array probe (4 V-D). .. EchoPAC workstation BT11, GE Healthcare.

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