News & Events
Discover our latest news, blog posts and upcoming events.
This study aims to evaluate whether artificial intelligence (AI) decision-support software improves the performance of primary care clinicians in the interpretation of spirometry, against reference standards (expert interpretation).
Am 3. Juli veranstalteten wir ein aufschlussreiches Webinar mit dem Titel „Interpretation von routinemäßigen Lungenfunktionstests: Was können wir aus dem neuesten ERS/ATS-Standard lernen?“. Dieses Webinar richtete sich speziell an deutsche Gesundheitsfachkräfte, die an den neuesten Richtlinien und Standards im Bereich der Atemwegsgesundheit interessiert sind.
This analysis aimed to determine whether the quality of a patient’s onsite spirometry could predict the quality of their home spirometry.
This study aims to assess the accuracy of general practitioners in diagnosing respiratory diseases based on clinical examination only and with AI-supported spirometry.
Accurate FVC measurements are essential for correct interpretation of spirometry. The updated ATS/ERS-technical standards for spirometry require at least one of three EOFE criteria to be met.
The Academy for Healthcare Science hosted a “AI in Physiological Sciences” webinar, as part of the AHCS Webinar Series on scientific leadership in artificial intelligence.
We are thrilled to announce that ArtiQ has been acquired by Clario, a leading healthcare research and technology company renowned for its groundbreaking contributions to clinical evidence generation.
We are happy to announce our partnership with AstraZeneca, reflecting our shared dedication to advancing research on respiratory conditions and enhancing the quality of life for individuals with lung diseases.
This study shows that AI-based decision support on PFT interpretation improves accurate and early ILD diagnosis.
This study investigates the speed at which an expert can perform PFT interpretations.
This study investigates how the recently published ERS/ATS guidelines for lung function interpretation (Stanojevic 2021) affect patient classification compared to the previous document (Pellegrino 2005).
In this study, we are investigating the impact of instant feedback provided by an AI algorithm (ArtiQ.QC) on the quality of home spirometry.
This study explores the value and reliability of artificial intelligence (AI) based quality control software (ArtiQ.QC) to assess spirometry quality in clinical trials using the 2019 ATS/ERS guidelines.
AstraZeneca, a global pharmaceutical leader, has embarked on a transformative journey in clinical trials by integrating digital health solutions.
ArtiQ and AstraZeneca Belgium hosted Smart Spirometry webinar which explored the crucial role of spirometry in primary care, the impact of AI on workflow, and the potential for more accurate COPD diagnosis in high-risk patients.
Clario integrates AI into clinical trial data collection for spirometry with new partnership with ArtiQ
This study explores perspectives on spirometry provision in primary care, and the potential for AI decision-support software to aid quality and interpretation.
By focusing on a population at risk of COPD without a formal diagnosis, we study how ArtiQ.Spiro can support general practitioners (GPs) in diagnosing COPD.
This study gives insights into the prevailing ideas of Belgian GPs about the spirometry and identifies barriers and facilitators for its use in primary care.
This study evaluates the ability of AI to diagnose respiratory diseases in primary care on a representative dataset (UK Biobank, UKBB) using spirometry.