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Thirona is present during the congress of the American Thoracic Society from May 14-19. Due to the COVID-19 pandemic the congress is held online but you can come by our booth and get more information [...]

A new paper has just been published in high-impact journal JTCVS Techniques, showing the added value of AI-based lung segmentation and VR technology in lung cancer surgery planning. In the study from Erasmus Medical Center, Thirona's lung CT segmentation was visualized in a 3D virtual reality environment from MedicalVR for planning complex lung segmentectomies.

Thirona developed an AI algorithm that revolutionizes cystic fibrosis (CF) care. The new algorithm, coined PRAGMA-AI, allows for fast, automated analysis of CT scans of patients with CF to detect and quantify lung abnormalities related to CF. These quantifications are critical in determining the status of the patient and determine optimal treatment paths but are not feasible to be performed by humans in clinical care. The release of PRAGMA-AI paves the way for large-scale usage in clinical trials and clinical care for better diagnostics, patient monitoring, and treatment planning.

Healthcare professionals at Leiden University Medical Centre (LUMC) can use artificial intelligence (AI) to quickly and easily calculate whether a corona patient has suffered serious lung damage. They do this by running a CT scan through the AI software CAD4COVID-CT. The software was developed by the company Thirona and is used in the LUMC via Philips Intellispace AI Workflow Suite.

Worldwide the COVID-19 situation has only worsened and new mutations of the virus have developed which are now spreading globally. Here in the Netherlands, a strict lockdown has started since December 15th and currently we [...]

Our CAD4COVID software will help to assess affected lung tissue in COVID-19 patients. We have worked closely together with CWZ over the past month to integrate the solution in their daily workflow, and are really happy with the result.

CAD4COVID is helping more and more clinicians in the treatment of suspected COVID-19 patients. Since its launch in April of this year, CAD4COVID-CT has analysed more than 2700 scans in 19 countries worldwide. All free [...]

The new EU Medical Device Regulation (MDR) 2017/745, which will come into full effect in May 2021, has a major impact on medical device manufacturers worldwide. Implementation of the new regulations has manufacturers facing challenges due to the stricter rules, limited resources, and lack of clear EU guidance. Therefore, we are especially proud to announce that Thirona successfully implemented the requirements and we are now certified against the new MDR.

Thirona has obtained an exclusive license on a patent in relation to Cystic Fibrosis (CF),  a rare genetic condition that creates lung abnormalities from a very early age. The patent allows us to develop an AI algorithm that will analyse CT scans to identify even the smallest abnormalities in the lungs, especially early on, ensuring that the right treatment can follow.

Public-private consortium P4O2 (Precision Medicine for more Oxygen) investigates risk factors for developing lung damage and chronic complaints after COVID-19  30 September 2020 Many patients who have had COVID-19 continue to have health complaints for [...]

MedicalVR has integrated Thirona's chest CT analysis software in their virtual reality application PulmoVR. It provides surgeons with an interactive 3D visualization of the lungs for pre-operative planning. Patient-specific anatomical labels and segmentation are added by [...]

Thirona Teams Up with Smart Reporting to Further Improve COVID-19 Detection

Thirona is present at the online congress of the European Society of Radiology (ECR) which is held from July 15-19. You can find us in stand 1547 at Expo Hall X6

In this first study the performance of an AI system for COVID19 detection on chest X-rays was compared to human expert readers. The results show that CAD4COVID-XRay can identify characteristics of COVID-19 on chest radiographs with performance comparable to six experienced radiologists.