Bridging the Gap - AI’s Role in Enhancing Lung Ultrasound Accuracy

Deep Breathe team members have developed a Deep Learning model that demonstrates high diagnostic sensitivity and specificity for detecting pleural effusion - revolutionizing patient care in the point-of-care medical imaging space.

Deep Breathe Wins First Place in U.S. Army’s XTechInternational 2024 Competition

Bedside deployment of lung ultrasound by nurses - a new frontier of front-line diagnostics

Nursing skills have grown to include the use of ultrasound to better care for patients. We describe the exciting new possibilities of nursing led lung ultrasound with AI integration in screening for dangerous conditions like pneumothorax.

Ultrasound in nursing practice: a historical overview

Point of care ultrasound is used by healthcare providers from all specialties and nurses have used ultrasound technology for years to improve patient care. Learn about how ultrasound helps nurses to detect bladder problems and start difficult IVs.

Diaphragmatic ultrasound to diagnose weaning failure from mechanical ventilation

Assessment of diaphragmatic function is key in understanding why a patient may not be weaning from mechanical ventilation. We describe how lung ultrasound can help assess for diaphragmatic dysfunction non-invasively and accurately.

Diagnosing and monitoring tuberculosis on lung ultrasound

Tuberculosis is a contagious and potentially deadly disease. Its diagnosis can be challenging but specific characteristics on lung ultrasound can raise suspicions and trigger further investigations to pick up this disease earlier in patients.