Critical Care

In Other News

• Novel IV Injection Treatment for Sepsis Could Provide Safe and Convenient Option

• Portable MRIs Almost as Effective as Standard MRIs in Detecting Strokes

• Fujifilm Sonosite Launches Sonosite LX POC Ultrasound System and T8-3 Transesophageal Transducer

• Hemodynamic Monitoring Can Predict Mortality in Critically Ill Patients, Finds Baxter Study

• Steerable Microcatheter Platform a Game-Changer in Endovascular Medicine

• Electrodiagnostic Monitoring of Brain Waves Predicts Impending Ischemic Stroke

• Intuitive Patient Monitor Offers Patient-Tailored Approach for Cardiopulmonary Bypass Procedures

• POC Sepsis Diagnostic Platform to Speed up Clinical and Treatment Decision Making

• Nihon Kohden America Launches New Series of Bedside Monitoring Systems

• Nova Biomedical Launches CE-Marked Nova Max Pro Creatinine/eGFR Meter for Kidney Function Screening

• Image-Based ECG Algorithm Uses AI to Diagnose Key Cardiac Disorders

• Surgical Implant Could Pave Way for Real-Time Sensing of Biochemical, pH and Blood-Oxygen

• AI IDs Cardiac Arrest Patients Who Can Benefit From Implantable Cardioverter Defibrillator

• Enzyme-Based Point-of-Care Test Could Rapidly Identify Stroke Patients upon Arrival at Hospital

• State-of-the-Art Syringe Infusion System Answers Worldwide Need for Portable, Non-Electric, Versatile Infusion Pump

• Philips Capsule Surveillance Solution Identifies Deteriorating Patient Condition and Critical Events for Early Intervention

• State-of-the-Art Infusion System Solves Critical Challenges in Infusion Delivery

• Rapid POC Blood Ammonia Detector Could Dramatically Decrease Processing Times from Hours to Minutes

• Continuous Glucose Monitoring System Improves Glycemic Management and Patient Outcomes in Hospital Setting

• Biomérieux Launches Free Mobile App to Aid Clinicians in Emergency and Critical Care Diagnostics

• First-Ever Combined Temperature and Flow Sensor Ideal for Applications Requiring Real-Time Sensing In Respiratory Devices

• Innovative Technology Minimizes Need for Invasive Mechanical Ventilation

• Deep-Learning Technique Predicts Clinical Treatment Outcomes