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Vision Statement

Rad Buddy AI is dedicated to enhancing patient care and refining radiology workflows through our advanced AI-driven chatbot service. Our mission is to simplify patient engagement in the radiology sector, deliver intuitive support to healthcare professionals, and ensure seamless operational harmony within radiology practices, thereby elevating the quality of healthcare through technology. ​

Rad Buddy AI emerges as an innovative AI-driven chatbot service, exclusively designed to meet the intricate demands of the radiology industry. By revolutionizing the interaction between radiology companies and their patients, as well as optimizing internal operations, Rad Buddy AI addresses the critical challenges of patient engagement and workflow optimization with efficiency and precision. ​ ​

We’re driven by cutting-edge research

Rad Buddy AI’s entrance into the market is timely, as radiology practices worldwide are striving to optimize their operations amidst an increasing volume of imaging studies. This trend is driven by a growing awareness of the importance of early diagnosis, an aging population, and the rise of chronic diseases. The sophisticated algorithmic support provided by Rad Buddy AI is positioned to alleviate the administrative burden on radiology professionals, allowing them to dedicate more time to patient care and less to the logistics of operation management.

Unlocking the full potential of your Enterprise Data

We have trained our models on the language of business to enable the most accurate and efficient solution.
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Our Team

RadBuddy AI is powered by a diverse and specialized team that combines expertise in medical imaging, AI development, and healthcare IT. Our team is dedicated to revolutionizing radiology workflows through AI-driven solutions, with a shared passion for improving diagnostic accuracy, enhancing efficiency, and driving innovation in the medical field.

Dr Siavash Es'haghi

Managing Director / CEO

Professor Catherine Jones

Radiologist

Ben Hughes 

MRI Specialist Radiographer

Natasha Campbell

Ultrasound Specialist
Sonographer

Rebecca Ryan

CT Specialist Radiographer

Dr Peyman Obeidy

Engineering Lead IT Manager

Industry Insights

Dr. David Hansen

  • CEO of the Australian e-Health Research Centre

“The deployment of conversational AI in healthcare settings, including radiology, is helping to bridge the gap in patient communication and service delivery. It provides a seamless way to manage patient interactions, improve compliance with imaging protocols, and ensure that patients receive timely and accurate information.”

  • Source: CSIRO

Professor Carolyn Mountford

  • CEO and Director of Research at TRI

“AI and machine learning are transforming radiology by providing enhanced imaging analysis and better patient management. Conversational AI, with its ability to handle patient queries and streamline appointments, is a vital component of this transformation.”

Dr. Bronwyn Evans

  • CEO of Engineers Australia

“Artificial intelligence is revolutionizing healthcare in Australia, especially in radiology. By automating routine tasks, AI allows radiologists to focus more on complex diagnoses and patient care. Conversational AI, in particular, has shown promise in improving patient engagement and operational efficiency.”

 

We’ve trained our models using carefully curated, industry-specific data to ensure the most accurate and efficient solutions. Our models are continuously monitored and refined, evolving with technological advancements. Now is the time to scale your enterprise AI strategy with our top-performing embedding model, designed to seamlessly support and elevate your practice.

RAD Buddy AI Group, | RADBUDDYAI is a brand managed by RAD Buddy AI Group, 2024

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