Invenio Imaging Completes Enrollment for Ai Lung Cancer Biopsy Study
The multicenter study will evaluate an artificial intelligence module designed for rapid tissue assessment during bronchoscopic procedures.
The multicenter study will evaluate an artificial intelligence module designed for rapid tissue assessment during bronchoscopic procedures.
The multicenter study will evaluate an artificial intelligence module designed for rapid tissue assessment during bronchoscopic procedures.
Read MoreAnalyzing respiratory patterns through machine learning models improved early identification of bronchopulmonary dysplasia (BPD) in preterm infants.
Read MoreArtificial intelligence large language models can accurately scan medical charts to assess complex quality measures for severe sepsis and septic shock in seconds.
Read MoreThe new suite integrates workflows for COPD, lung nodules, and pulmonary embolism to improve patient follow-up and treatment times.
Read MoreA study of more than 32,000 CTPA scans found that artificial intelligence and physicians agreed on pulmonary embolism results nearly 98% of the time, though human review caught cases the software missed.
Read MoreA study found that clinical notes generated by artificial intelligence tools consistently ranked lower in quality and accuracy compared to those written by clinicians.
Read MoreA new whitepaper shows that real-time clinical insights for primary care physicians led to higher flu vaccination rates and fewer emergency visits for high-risk populations, including COPD patients.
Read MoreA new computational biomarker uses existing biopsy slides to identify which patients will benefit from standard treatment before therapy begins.
Read MoreAn artificial intelligence tool called PhenopyCell can determine if patients with extensive-stage small cell lung cancer will benefit from chemotherapy using existing biopsy slides.
Read MoreMachine learning models showed roughly 40% improvement in diagnostic accuracy compared to standard...
Read MoreThe ECRI’s annual list of the most significant health technology hazards warns that Ai chatbots have suggested incorrect diagnoses, recommended unnecessary testing, promoted subpar medical supplies, and even invented body parts in response to medical questions while sounding like a trusted expert.
Read MoreA diagnostic approach integrating a host immune biomarker with large language model analysis of EHR significantly improves the diagnosis of lower respiratory tract infection in critically ill adults.
Read MoreECG-based deep learning is a scalable, reproducible, and biologically grounded approach for COPD detection, according to a study published in eBioMedicine.
Read MoreSmart Comfort is the first FDA-cleared Ai-enabled medical device that recommends personalized comfort settings to help people with OSA start and stay on CPAP therapy.
Read MoreResearchers used machine learning to identify a unique new subtype of COPD: the emphysema inflammatory subgroup (EIS), which differs from other COPD subtypes in its immune profile and a more distinctive form of emphysema.
Read MoreAn Ai-based screening tool assessed EHR and detected risks of serious asthma exacerbation and acute respiratory infections in children as early as age 3.
Read MoreGenerative Ai identified hidden avian flu risks, scanning over 13,000 ER notes to flag patients with incidental high-risk animal exposures that clinicians had not recognized.
Read MoreArtificial intelligence could help predict emergency department admissions and help reduce overcrowding, shorten boarding times, improve patient flow, and allow hospitals to better allocate resources.
Read MoreA new Ai-based tool called Ark+ can assist chest X-ray interpretation by physicians.
Read MoreLarge language models (LLMs) remain substantially vulnerable to misuse and, without improved safeguards, could be exploited as tools to disseminate harmful health disinformation.
Read MoreHospitalized adults at risk for opioid use disorder had 47% lower odds of being readmitted to the hospital within 30 days after their initial discharge if they were screened by Ai.
Read MoreVentilators managed by a computerized decision support (CDS) tool shortened the time children with respiratory failure spent on mechanical ventilation.
Read MoreA clinical trial showed that an Ai tool was as effective as healthcare providers in generating referrals to opioid use disorder addiction specialists.
Read MoreECRI 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.
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