Unmet Tech Support Needs for Home Care Patients Named a Top Health Hazard of 2025
ECRI released its Top 10 Health Technology Hazards for 2025 list, identifying the top risk in healthcare. Also making the list are supplemental oxygen and AI.
ECRI released its Top 10 Health Technology Hazards for 2025 list, identifying the top risk in healthcare. Also making the list are supplemental oxygen and AI.
ECRI released its Top 10 Health Technology Hazards for 2025 list, identifying the top risk in healthcare. Also making the list are supplemental oxygen and AI.
Read MoreAn app that uses carotid waveform measurements can provide insights into predicting the long-term risk of cardiovascular damage from e-cigarettes.
Read MoreArtificial intelligence identified a molecular signature of long COVID in children’s blood with 93% accuracy, according to a recent study.
Read MoreThe AI-powered tool automatically assesses medical data for interstitial lung findings compatible with interstitial lung disease.
Read MoreA new AI technique using fully homomorphic encryption achieved 99.56% accuracy in detecting sleep apnea while safeguarding patient data.
Read MoreThe AI-powered device monitors nocturnal respiratory symptoms, detecting early warning signs of asthma attacks in children up to five days in advance.
Read MoreBodiMetrics and EnsoData have partnered to enhance home sleep apnea testing and monitoring by integrating the EnsoSleep PPG software with BodiMetrics’ circul pro smart ring.
Read MoreResearchers used artificial intelligence to analyze urine samples, accurately forecasting COPD symptom flare-ups seven days before they occurred.
Read MoreResearchers developed a self-screening device, which they hope to commercialize, to help users detect diseases like COPD and asthma early using multi-sensory breathing information.
Read MoreAfter successful development and pilot, technology using biomarkers from wearables to predict infection is set to expand within the US Department of Defense.
Read MoreThe AI module is intended to support physicians by evaluating bronchoscopic lung forceps biopsies on-site.
Read MoreUsing machine learning, researchers identified five clinical states in pneumonia patients, with three associated with specific disease outcomes and two that may help pinpoint the disease’s cause.
Read MoreThe new software will leverage natural language processing capabilities to evaluate EHR data along with imaging AI to identify and triage patients suspected of lung disease.
Read MoreThe model identified with 96% accuracy bronchopulmonary dysplasia in premature infants by analyzing their sleep breathing patterns.
Read MoreChatGPT provided more comprehensive and human-like assessments of complex respiratory cases in children compared to trainee doctors, a new study finds.
Read MoreThe critical care portfolio includes the Swan Ganz pulmonary artery catheter, minimally invasive sensors, noninvasive cuffs, tissue oximetry sensors, and monitors.
Read MoreThe AI tool actively involves clinicians by identifying missing patient data and suggesting the most critical information needed to improve sepsis risk predictions.
Read MoreThe system diagnosed a variety of health conditions, including asthma and COVID-19, with 98% accuracy.
Read MoreAn analysis of over 2 million hospital visits reveals significant diagnostic uncertainty in pneumonia cases, with frequent changes between initial and discharge diagnoses.
Read MoreLG Electronics revealed “Primefocus Health,” a new home healthcare platform that incorporates remote monitoring, utilizes artificial intelligence, and integrates with electronic health records.
Read MoreResearchers say the sheer amount of cannabinoid positivity found during umbilical cord toxicity testing was “pretty astounding.”
Read MoreWhile wearables can detect potential respiratory infections, a new study shows that only a quarter of individuals follow up with at-home testing.
Read MoreThe Food Allergy Institute’s study shows that 100% of participants achieved milk allergy remission, with results maintained for at least a year.
Read MoreResearchers utilized AI to analyze CT scans, discovering lung deformities to the surfaces of the lungs in severe COVID-19 patients.
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