Oxipit

Oxipit is a cutting-edge  AI tool in healthcare  transforming the field of  medical imaging . Its flagship product, ChestLink, is the first fully autonomous AI system capable of reading normal chest X-rays without radiologist intervention. This innovation streamlines workflows, significantly reducing radiologists' workload by autonomating the reporting of healthy scans, allowing them to focus on abnormal cases that require detailed attention. Additionally, Oxipit's ChestEye enhances diagnostic accuracy by double-checking radiologists' reports, thus minimizing errors. With regulatory approvals like the CE mark, Oxipit is a trusted solution for improving efficiency and accuracy in medical diagnostics​.

• Automated Reporting: Oxipit’s ChestLink autonomously evaluates chest X-rays (CXRs) and generates reports for scans without abnormalities. This feature significantly reduces the workload for radiologists by handling up to 40% of daily reporting tasks, allowing them to concentrate on more complex cases​.
• Enhanced Accuracy: ChestEye Quality acts as a double-reading tool, analyzing radiologists’ reports to identify potential errors. It helps in spotting missed findings in near-real-time, thus improving diagnostic accuracy and patient outcomes by ensuring critical cases are not overlooked​.
• Regulatory Compliance: Both ChestLink and ChestEye Quality are fully compliant with stringent privacy regulations, including GDPR. This ensures that patient data is protected and that the tools can be safely integrated into existing hospital systems​​.
• Scalability: The tools are designed to integrate seamlessly with various healthcare IT systems (PACS, RIS). They support multiple deployment options, including on-site, cloud-based, and hybrid solutions, making them adaptable to different clinical environments​​.
• Time Efficiency: By automating routine tasks, these AI tools help mitigate the global shortage of radiologists and reduce burnout. They enable faster processing times, with ChestLink processing X-rays in 10 to 60 seconds, which enhances overall workflow efficiency in medical imaging departments​​.

Oxipit offers custom pricing for their AI tools based on the number of analyses and specific needs of the medical institution. They also provide a demo version for potential users to evaluate the tool's capabilities. You can request an online demo or arrange a meeting at one of their attended events using their contact form. Their team will respond promptly to your request.

The Oxipit team is composed of highly skilled professionals with diverse backgrounds in AI, computer science, medicine, and business.

• Gediminas Pekšys: Chief AI Officer. He holds a BA in Mathematics from the University of Cambridge and has 5 years of experience in data science, computer vision, and deep learning. Gediminas is also a Kaggle competition winner and the founder of the AI Association of Lithuania.
• Jonas Bialopetravičius: Chief Technology Officer. Jonas has an MSc in Computer Science from Vilnius University and a PhD in Astrophysics. He has 7 years of experience in computer vision and machine learning, particularly in biometrics, and has won two first places in Kaggle deep learning competitions.
• Darius Barušauskas: Head of Data Science. He holds an MSc in Econometrics from Vilnius University and has 7 years of experience in machine learning. Darius has developed over 30 models for various industries and is recognized as a Kaggle Grandmaster with multiple prize finishes.
• Naglis Ramanauskas: Chief Medical Officer. Naglis has an MSc in Medicine and is a resident doctor of radiology at Vilnius University. He has experience in deep learning for radiology tasks and won first place in the 2017 AI Hackathon in Vilnius.
• Vytautas Naujalis: Chief Operations Officer. Vytautas has experience in data science and deep learning applications and holds a BA in International Business and Communication.
• Aurita Smaidžiūnaitė: Sales Executive. Aurita has a background in International Business Development and a BSc in Sport and Exercise Rehabilitation.
• Sina Zare: Sales Project Manager. Sina has an MA in Business Management and a Doctor of Pharmacy (Pharm.D.), with experience in clinical, hospital, and managed care pharmacy.
• Elena Jokubauskiene: Regulatory Compliance Manager. She has an MA in Public Health Management and a BA in Public Health from Lithuanian Health Sciences University.

This team combines expertise in AI and deep learning with strong medical and business knowledge, driving Oxipit's innovation and success in medical imaging technology.

Oxipit has secured a total funding amount of $6.6 million. This funding supports their development of AI-driven medical imaging tools, allowing them to innovate and improve diagnostic accuracy in radiology. With this financial backing, Oxipit aims to address the global shortage of radiologists and enhance the efficiency of medical imaging processes.