PaxeraHealth announced that the University of Pennsylvania has selected its zero-coding authoring platform to assist in their development of new imaging AI algorithms. ARK’s offering of “Algorithms as a service” aim to help healthcare systems and academic and research centers to DIY (Do-It-Yourself) their own AI algorithms for all possible modalities, body parts, and anomalies.

May 27, 2022 — PaxeraHealth announced that the University of Pennsylvania has selected its zero-coding authoring platform to assist in their development of new imaging AI algorithms. ARK’s offering of “Algorithms as a service” aim to help healthcare systems and academic and research centers to DIY (Do-It-Yourself) their own AI algorithms for all possible modalities, body parts, and anomalies. UPenn’s ultrasound research lab – Department of Radiology will use the platform to elevate the research and development of their associated imaging laboratories and expedite production of their focused algorithms.

“PaxeraHealth is pleased to offer our zero-coding authoring tools to the help ultrasound research team at UPenn complete the development of their algorithms for the sake of future patients everywhere,” said Dr. Mohamed Shoura, CEO of PaxeraHealth. “We understand the frustrations that come with developing new imaging algorithms and aim to eliminate these with the ARK platform.”

“Aligning UPenn’s research and primary development with Paxera’s high-end tools will expedite our timeline significantly and allow these algorithms to go to market much sooner than estimated”, added Dr. Sandy Sehgal, Professor and Director of ultrasound research at UPenn.

“PaxeraHealth’s ARK platform will be a key element in completing the development of these important algorithms,” added Dr. Laith Sultan, physician scientist at UPenn.

The collaboration between UPenn and Paxera will focus on the development of imaging algorithms to detect liver cancer as well as COVID detection via lung ultrasound. ARK’s high-end modeling, annotation, and data curation tools will reduce development timeline and expedite clinical validation, allowing UPenn to complete and commercialize their new algorithms and make them accessible to PaxeraHealth’s worldwide user base.

For more information: www.paxerahealth.com

 


Related Content

News | Magnetic Resonance Imaging (MRI)

March 25, 2026 A Penn Medicine–led team has developed a first‑of‑its‑kind artificial intelligence system that interprets ...

Time March 26, 2026
arrow
News | Cybersecurity

March 23, 2026 —Sacumen has launched ConnectX, a unified AI platform that gives cybersecurity product companies full ...

Time March 25, 2026
arrow
News | Radiology Business

March 1, 2026 — A new study from the Harvey L. Neiman Health Policy Institute found that practice turnover (i.e ...

Time March 19, 2026
arrow
News | Magnetic Resonance Imaging (MRI)

March 18, 2026 — GE HealthCare and Springbok Analytics have entered a development agreement that will aim to leverage ...

Time March 18, 2026
arrow
News | Stroke

March 11, 2026 — Brainomix, a provider of AI-powered imaging tools for stroke and lung fibrosis, has announced the ...

Time March 11, 2026
arrow
News | HIMSS

March 9, 2026 — Fujifilm Healthcare Americas Corp. is showcasing how its latest AI-powered enterprise imaging solutions ...

Time March 10, 2026
arrow
News | HIMSS

March 5, 2026 — At the Health Information and Management Systems Society (HIMSS) Conference & Exhibition 2026 in Las ...

Time March 06, 2026
arrow
News | Radiation Oncology

March 4, 2026 — Lunit has announced that 21 studies featuring its AI solutions will be presented at the European ...

Time March 05, 2026
arrow
News | Ultrasound Women's Health

March 2, 2026 — Ultrasound AI, a provider of artificial intelligence applications for medical imaging, has received FDA ...

Time March 03, 2026
arrow
News | FDA

Feb. 26, 2026 — The U.S. Food and Drug Administration (FDA) has given 510(k) class II clearance of qXR-Detect, the ...

Time February 26, 2026
arrow
Subscribe Now