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Mount Sinai Researchers Use Computer Algorithms to Diagnose HCM

hitconsultant.net November 23, 2016

pathological hypertrophic cardiomyopathy

Computer algorithms can automatically interpret echocardiographic images and distinguish between pathological hypertrophic cardiomyopathy (HCM) and physiological changes in athletes' hearts.

cardiology disease research study technology

Impacts of Initial ICU Driving Pressure on Outcomes in Acute Hypoxemic Respiratory Failure

Effects of Surgery on Hemodynamics and Postoperative Delirium in Stanford Type A Aortic Dissection

Implementing a Bedside Percutaneous Tracheostomy and Ultrasound Gastrostomy Team Reduces Length of Stay and Hospital Costs

Predictors of Weaning Failure in Ventilated ICU Patients

Postoperative Critical Care for Adult Cardiac Surgical Patients

ICU Protocols: A Step-wise Approach, Vol II

Perioperative Hemodynamic Monitoring and Goal Directed Therapy: From Theory to Practice

Wallach’s Interpretation of Diagnostic Tests

Sepsis and Septic Shock: An Issue of Critical Care Clinics

Critical Care Medicine: Principles of Diagnosis and Management in the Adult

Hemodynamic Monitoring Using Echocardiography in the Critically Ill

Bedside Procedures in the ICU

Trauma Team Dynamics: A Trauma Crisis Resource Management Manual

Evidence-Based Critical Care: A Case Study Approach

Clinical Examination Skills in the Adult Critically Ill Patient

Severe Trauma and Sepsis: Organ Damage and Tissue Repair

Moderate and Deep Sedation in Clinical Practice

Basics of Mechanical Ventilation