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AI X-Ray Reporting Accuracy: Can we allow AI to be Subjective?
2020 July 22nd
Can we trust AI at the same level as a radiologist performing the same challenging task? In this interview we discuss AI machine learning model development, how can AI address radiologist subjectivity and the most challenging tasks in X-ray reporting automation.
AI Radiology Reporting: The Hunt for the Absolute Truth
2020 June 25th
Despite having a developed AI imaging provider ecosystem, the AI radiology reporting 'revolution' is an evolutionary tread towards clinical adoption. Oxipit COO Jogundas Armaitis shares his views on AI in radiology reporting steps and missteps.
Oxipit Receives Patent for Improved AI Lung Cancer Diagnostics
2020 May 25th
Oxipit, creators of artificial intelligence based radiology imaging suite ChestEye, announces that the European Patent Office has approved their patent application. The innovation allows efficient use of high-resolution chest X-ray images for machine learning model training and is especially relevant for improving lung nodule detection.
AI COVID-19 Diagnostics: Separating the Hype from Reality
2020 May 18th
Can AI-based diagnostics support medical institutions during the pandemic? Or is this yet another AI industry hype? Oxipit co-founder and chief operating officer Jogundas Armaitis shares the perspective of the company.
Oxipit ChestEye secures medical device certification in Australia
2020 March 5th
AI medical imaging company has received an Australian Register of Therapeutic Goods Class IIa medical device certificate for ChestEye AI imaging service. Medical device certification paves the way for clinical use of ChestEye in the Australian market. ChestEye imaging suite is already certified by the CE mark. Oxipit received CE certification last February, enabling clinical ChestEye deployment in 32 European countries.
New Oxipit AI service to aid large scale chest X-ray screening projects
2020 January 27th
The AI medical imaging company will showcase ChestEye Negative service at Arab Health 2020 conference in Dubai. ChestEye Negative produces preliminary reports for chest X-rays with no abnormality. The service aims to reduce the workload of radiologists, especially in clinical environments, where only a fraction of all studies features an abnormality. It also significantly simplifies large-scale medical screening projects.
Go outside the lab: Interview with Oxipit, InnoStars Awards 2018 Winner
2020 January 26th
EIT Health InnoStars presents a new episode of a series of talks with inspiring people in our community who develop innovative ideas. We ask about their journeys, while developing ideas, their professional career paths and motivations.
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Oxipit partners with HealthCare Konnect to bring AI diagnostics to Africa
2020 January 6th
Medical imaging technology company Oxipit announced partnership with Swiss medical distribution company Healthcare Konnect to bring ChestEye AI imaging suite to healthcare institutions in Nigeria. The partnership aims to introduce vanguard AI diagnostic capabilities and improve detection of 75 pathologies, including tuberculosis, to one of the largest markets in Africa.
Oxipit to showcase AI X-ray longitudinal comparison at RSNA
2019 November 28th
The AI medical imaging company will offer a first public preview of Dynamics feature for its award winning ChestEye CAD suite. Dynamics enables a radiologist to compare X-rays and provide automatically generated reports specifically addressing the changes in images over the course of patient treatment. Initially Dynamics feature will support longitudinal comparison for Pneumothorax, Consolidation, Mass, Nodule, Pleural Effusion, Pulmonary Edema and Lung Congestion radiological findings where progress reports are of greatest importance.
Study: AI found to reduce bias in Radiology Reports
2019 November 14th
A study by the Centre for Advanced Research in Imaging, Neuroscience and Genomics (CARING) found that AI powered CAD software can reduce hedging and defensive reporting statements in radiologist reports, resulting in clearer more actionable diagnosis descriptions. The study was undertaken using Oxipit ChestEye AI imaging suite. Moreover, the study found that nearly 80% of the reports generated by Oxipit ChestEye were as accurate as the radiologists' reports and were more accurate in 5% of analyzed patient cases.

Media About Us

Society for Imaging Informatics in Medicine:

Oxipit’s Chest X-ray Search Solution Selected as One of Top Innovations by SIIM

European Congress of Radiology (ECR 2018):

Oxipit’s Peer Reviewed Poster On Multiclass Chest X-Ray Pathology Classification

Intel:

Press Release on our Kaggle win

Kaggle:

Interview on how we won the Intel & MobileODT Cervical Cancer Screening Competition

Kaggle:

Interview on how we won the Nature Conservancy Fisheries Monitoring Competition

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