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Autonomous Precision Imaging. What Is It And How Is Concierge Medicine Involved?

Girish Srinivasan, Co-Founder and Chief Technology Officer of PhenoMx wrote a story for The New Economy where he noted several important items related to precision medicine, digital healthcare and improving patient-to-provider encounters.

In the article he writes:

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AI-based solutions, particularly deep learning techniques, have allowed the entire field of medical image analysis to evolve,” writes Srinivasan. “The field of radiology largely focuses on diagnosis, but its applications could be far more wide-ranging if it were used as a preventative tool. The emergence of personal health record services has given rise to the ‘concierge medicine’ model, where patients pay an annual retainer fee in exchange for enhanced care. Providers are principally committed to reducing patient loads, ensuring availability and increasing patient contact time.

Digital healthcare solutions can revolutionise patient-to-provider encounters by enabling automated processing and analysis techniques such as AI, which transform data into meaningful results

By Girish Srinivasan, Co-Founder and Chief Technology Officer of PhenoMx | Monday, May 20th, 2019

According to the World Health Organisation, as much as two thirds of the world’s population does not have access to basic radiologic services, such as X-ray-based examinations. Even when it is available, the quality of such procedures can be questionable. As a result, the applications of radiology have remained primarily in diagnosis, leaving its tremendous potential as a preventative tool largely untapped.

Digital healthcare solutions can revolutionise patient-to-provider encounters by enabling automated processing and analysis techniques such as AI, which transform data into meaningful results. For imaging data, AI-based processing and analysis yields simplified workflows, definitive diagnoses and predictive disease biomarkers.

Autonomous precision imaging
The digital nature of the data from most imaging modalities – if not all in the near future – means automated analysis can be used to obtain valuable information beyond raw images. Today, AI-based solutions – particularly deep learning techniques – have allowed the entire field of medical image analysis to evolve.

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SOURCE: https://www.theneweconomy.com/technology/phenomx-is-bringing-mri-to-the-masses