Critical Care

In Other News

• AI Detects Serious Neurologic Changes in NICU Infants Using Only Video Data

• Electronic Diagnostic Model Predicts Acute Interstitial Nephritis in Patients

• Portable and Wireless EKG patch as Effective as Traditional Stationary Device

• Nanotechnology Could Combat Antibiotic-Resistant Infections in Open Bone Fractures

• Wireless, Fully Implantable LVAD System to Make Life Easier for Heart Failure Patients

• AI-Powered Algorithm Offers Quick, Contactless Blood Pressure and Diabetes Screening

• Large-Bore Mechanical Thrombectomy More Beneficial for Intermediate-Risk Pulmonary Embolism

• Robotic Sensory Cilia Monitors Internal Biomarkers to Detect and Assess Airway Diseases

• ‘Radar Stethoscope’ Paves Way for Contactless Medical Monitoring

• Traditional Open Surgery for Lymph Node Removal Remains Gold Standard for Testicular Cancer

• Database Analysis Helps Identify “Sweet Spot” for Safe Surgery after Heart Attack

• First-In-Kind Flowable Collagen Liquid Fills Tissue Defects and Voids

• Wearable Sensor Patch Paired to Smartphone Detects Arrhythmia

• Early Surgery Aids Elderly Heart Patients with Aortic Stenosis, Finds Study

• AI Provides Same-Day Prediction of Bloodstream Infection and Antimicrobial Resistance in ICU Patients

• Cutting-Edge Bioelectronic Device Offers Drug-Free Approach to Managing Bacterial Infections

• Sophisticated Machine-Learning Approach Uses Patient EHRs to Predict Pneumonia Outcomes

• Early TAVR Benefits Patients with Asymptomatic Severe Aortic Stenosis

• First-Of-Its-Kind Experimental Therapy Enhances Tissue Repair After Heart Attack

• AI Model Predicts Patients at Most Risk of Complication During Treatment for Advanced Kidney Failure

• AI Model Predicts Patients’ Risk of Developing and Worsening Disease from ECGs

• Grain-Sized Soft Robots Controlled by Magnetic Fields Deliver Medical Drugs

• AI Tool Helps Identify Heart Failure Risk in Diabetes Patients