Products

Oncology and Radiotherapy

Surgical and Interventional

Image Diagnosis and Others

Who We Are

Backed by top-tier investors like Cherami Investment Group and Philips, PVmed is a global leader in Al-powered radiation and surgical oncology solutions, committed to enhancing patient care through precision and innovation. With adiverse portfolio of cutting-edge products. PVmed is dedicated to providing high-quality, fast, and precise treatment options.

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Pioneering Milestones

Cancer centers served

600+

Patients treated

700,000+

Time saved in contouring OARs using PVmed solutions

95%+

Patents awarded

100+

NMPA, MoH Indonesia cleared

CE coming soon

FDA Cleared

Latest News

Let’s Fight Against Breast Cancer!

October is BreastCancer Awareness Month 🌸—a time to raise awareness, inspire action, and support those impacted by this disease. At PVmed, we believe that innovation can be a powerful force in the fight against breast cancer. Our PV-iRT Intelligent Radiotherapy Solution offers precise, efficient, and fast treatment plans that streamline […]

Season’s Greetings from PVmed!

🎄 Season’s Greetings from PVmed! 🎄 As we wrap up 2024, we want to take a moment to reflect on the incredible journey we’ve had this year. Thanks to the unwavering support of our clients, partners, and dedicated team, we’re proud to announce that our AI-MDT solution has now supported […]

PVmed Stepped into Global Spotlight in ASTRO 2024

ASTRO2024 has been a game-changing experience for PVmed! This milestone event allowed us to step into the global spotlight, sharing our vision for the future of oncology care with a passionate community. We are incredibly grateful to everyone who visited our booth and engaged with our team—your support and enthusiasm […]

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Publications

July 11, 2023

Prognosis Forecast of Re-irradiation for Recurrent Nasopharyngeal Carcinoma based on Deep Learning Multi-modal Information Fusion

We evaluated this method on a multi-center dataset. and found the prediction based on multi-modal features fusion outperformed predictions based on single- modal, partial modal fusion or traditional machine learning methods.

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May 18, 2021

Synthesis of Mammogram From Digital Breast Tomosynthesis Using Deep Convolutional Neural Network With Gradient Guided cGANs

The methodology we exploited in the SDM generation task to analyze and progressively improve image quality by designing objective functions may be helpful to other image generation tasks.

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