Cancer affects millions of people each year – not only those who are diagnosed,
but also families, friends, and communities. How can we help give people a better chance at beating
cancer? Early detection. It can make all the difference. The sooner cancer is found, the quicker
curative treatment can begin.
Find out how those who live with and work with cancer are rewriting the narrative
in a brand-new digital series presented by Union for International Cancer Control and produced for
them by BBC StoryWorks Commercial Productions.
The series explores innovative solutions for cancer prevention, diagnosis,
treatment and care, and spotlights DeepHealth’s role in transforming lung cancer screening.
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Empowering breakthroughs in care by unlocking the
value
of imaging
DeepHealth is a global leader in AI-powered health informatics for
real-world
settings. Our solutions address both clinical and operational challenges that arise in complex,
high-volume care settings, streamlining the entire workflow to ease the burden on providers and
enable a more seamless experience – for care teams and patients.
“AI is a complete game changer of population screening programs.”
Sham Sokka
Chief Operating and Technology Officer, DeepHealth
“The data that we now have from the Targeted Lung Health Checks is that 75% of the cancers we’re picking up are early stage, that’s stages one and two.”
Dr. Sophie Tisi
Respiratory Physician
“I’m working in symbiosis with the AI, and I have to genuinely say, hand on my heart, that AI has made me a better radiologist.”
Prof. Sam Hare
Consultant Chest Radiologist & CEO Health and Lung Health
Screening at scale
Discover how our AI-powered solutions are transforming healthcare by providing
advanced imaging and data analytics to improve patient outcomes and operational efficiency.
DeepHealth is thrilled to exhibit at The NHS and the RCR’s inaugural Global AI Conference in 2025. The conference will cover a diverse range of clinical specialties and showcase the future of AI in healthcare featuring talks by global AI leaders and inspirational keynote speakers. Join us as we address the key opportunities and challenges, as well as showcase DeepHealth’s innovative approaches.
HOPPR’s Medical-Grade Generalized Foundation Model enhances medical research and hypotheses while simplifying and lowering costs for data collection and training. AI Foundational Models are versatile, pre-trained architectures that serve as a starting point for customizing specific tasks through Fine-Tuned models, for which expertise in a particular domain is critical.
Come by MP10230 (Venetian Level 1) to learn about our product portfolio showcased against the backdrop of HIMSS, the conference and exhibition committed to reforming the global health ecosystem through the power of information and technology.
References:
1) New lung cancer screening roll out to
detect cancer sooner – GOV.UK
2) Unpublished data from a study of 14 radiology practices (200 sites) in the United States. Data on file.
3) Cipollari et al., Radiologia Medica, 2022.
4) Hempel HL, Engbersen MP, Wakkie J, van Kelckhoven BJ, de Monyé W. Higher agreement between readers with deep
learning CAD software for reporting pulmonary nodules on CT. Eur J Radiol Open. 2022 Aug 2;9:100435. doi:
10.1016/j.ejro.2022.100435. PMID: 35942077; PMCID: PMC9356194.