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PreOp® Centers of Excellence Surgery Patient education - YouTube

CardioNet: a manually curated database for artificial intelligence-based research on cardiovascular diseases | BMC Medical Informatics and Decision Making | Full Text

Diagnostics | Free Full-Text | Jointly Optimized Deep Neural Networks to Synthesize Monoenergetic Images from Single-Energy CT Angiography for Improving Classification of Pulmonary Embolism

A Comparative Study of Machine Learning Models with TabNet Classifier for Heart Disease Prediction - YouTube

Medication Management | Preop Evaluation

Pre-Op Videos • Northwest ENT and Allergy Center

Preop Teaching Video 1 of 3 - YouTube

Accuracy of computed tomography-based three-dimensional preoperative planning for total wrist arthroplasty - Tomoki Matsuo, Takuji Iwamoto, Taku Suzuki, 2023

Digitial Preop Assessment | Connected4Health

Comparison of the components of RCRI: CAIS vs original (4): The... | Download Table

A foundational vision transformer improves diagnostic performance for electrocardiograms | npj Digital Medicine

Cardiac Arrhythmia Recognition Using Transfer Learning with a Pre-trained DenseNet | IEEE Conference Publication | IEEE Xplore

Prediction of mortality after surgery with the help of AI (The Lancet Digital Health) - E-med.co.il | Israel's medical news channel

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Researchers Show That a Machine Learning Model Can Improve Mortality Risk Prediction for Cardiac Surgery Patients | Mount Sinai - New York

ECGNet: An Efficient Network for Detecting Premature Ventricular Complexes Based on ECG Images | IEEE Journals & Magazine | IEEE Xplore

Endocrines | Free Full-Text | The Dose of Somatostatin Analogues during Pre-Surgical Treatment Is a Key Factor to Achieve Surgical Remission in Acromegaly

Allied Health Portal | CTSNet

Applying patient characteristics, stent-graft selection, and pre-operative computed tomographic angiography data to a machine learning algorithm: Is endoleak prediction possible? - Radiography

Applying patient characteristics, stent-graft selection, and pre-operative computed tomographic angiography data to a machine learning algorithm: Is endoleak prediction possible? - ScienceDirect