DeepHealth

DeepHealth leverages AI to enhance radiology workflows, making diagnostics faster and more accurate. This platform in  Healthcare  offers a suite of tools, including Saige, which aids in detecting lung, brain, prostate, and breast conditions, significantly improving detection rates and reducing unnecessary recalls. With  automation in healthcare , DeepHealth’s cloud-native solutions streamline operations and integrate seamlessly into existing systems, supporting radiologists with real-time data and predictive insights. This results in more efficient patient care and optimized radiology practices, ultimately leading to better health outcomes and operational efficiency.

• Breast Cancer Screening: Utilizing DeepHealth's Enhanced Breast Cancer Detection (EBCD) program, radiologists can detect subtle lesions more accurately, reducing unnecessary recalls and improving early detection rates. This program has shown significant success in elevating detection rates and enhancing clinical outcomes​​.
• Lung Cancer Screening: DeepHealth supports lung cancer screening programs by using AI to analyze CT scans, identifying early signs of cancer. This technology is crucial in screening high-risk individuals and has been effectively implemented in the UK’s Targeted Lung Health Checks (TLHC) program​.
• Prostate Cancer Detection: AI tools from DeepHealth assist in prostate cancer screening, aiming to reduce false positives and provide more accurate diagnoses. These tools are particularly beneficial in clinical settings, where precise detection is critical for effective treatment planning​.
• Operational Efficiency: Beyond diagnostic accuracy, DeepHealth’s AI solutions streamline operational tasks such as patient scheduling, follow-ups, and workflow management. This reduces burnout among radiologists and technologists, leading to more efficient healthcare delivery and better patient engagement​​.

DeepHealth offers fully customized pricing based on the specific needs of your radiology department or healthcare practice. To get detailed pricing information, you need to contact DeepHealth directly. This ensures that the cost is tailored to your particular requirements and usage.

• Dr. Howard Berger, MD: CEO of RadNet and Digital Health. He leads the strategic vision and operations of DeepHealth, leveraging his extensive experience in radiology and healthcare management.
• Sham Sokka, PhD: Chief Technology Officer (CTO) and Chief Operating Officer (COO) of Digital Health. Sham oversees the development and implementation of DeepHealth’s technological solutions, ensuring they meet the needs of modern radiology practices.
• Sanjog Misra: Chief Commercial Officer. Sanjog is responsible for driving commercial strategy and growth, focusing on expanding DeepHealth’s market presence and customer base.
• Ranjan Jayanathan: Informatics Leader. Ranjan manages the integration and optimization of informatics systems within DeepHealth, enhancing data management and operational efficiency.
• Dr. Greg Sorensen, MD: Clinical AI Leader. Greg leads the clinical application of AI technologies, ensuring they improve diagnostic accuracy and patient outcomes in radiology.



Howard Berger

CEO