How artificial intelligence is at the core of development at Synthesis Health.

Artificial intelligence (AI) is not something Synthesis Health, Inc (SHI) defines within the narrow spectrum of image review. True AI in the field of radiology considers all of its potential applications including image review, decision making, speech recognition and, report generation.

In a recent article, The Steep Road to Artificial Intelligence–Mediated Radiology, the authors describe the current landscape and development barriers for AI.

The article discusses some specific barriers to adoption by radiologists including a deficit of trust around the use of AI and continued doubts about the potential benefit to patient care.

SHI is mitigating trust concerns by developing the Synth.OS platform in collaboration with active Synthesis Health Physician Services (SHPS) radiologists in their everyday clinical practice. Transparency into the process allows the development team at SHI to demonstrate the how and why behind the decisions made in the development process that will impact SHPS radiologists in practice. This close SHPS-SHI working relationship allows developers to directly gather specific recommendations made by SHPS radiologists and put them into the development pathway.

The Synth.OS platform takes advantage of AI by providing the information needed by SHPS radiologists to review images and generate clear and precise reports, easily and efficiently. As an example, SHI has developed a voice recognition software that works seamlessly with templated report generation. This allows SHPS radiologists to spend more time reviewing the images and less time reviewing the reports for recognition errors or generating organized templated reports.

As touched on in the Ursprung and Woitek article and discussed more extensively in the article, Artificial Intelligence In Healthcare. Applications, Risks and Ethical and Societal Impacts, SHI takes its role in the development of next generation AI very seriously. They do their own research in the areas of clinical, ethical, and technical robustness within the AI development arena and promotes this among others in the field.
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Finally, as SHI developers and we at SHPS consider AI and its impact within the SHPS clinical practice, as partners in this process, we choose to engage multiple stakeholders and seek input at all levels of development throughout the current and expected future life cycle of AI algorithms.

References:

Stephan Ursprung, PhD, Ramona Woitek, MD, PhD. The Steep Road to Artificial Intelligence–mediated Radiology. Radiology: Artificial Intelligence 2023; 5(2):e230017. https://doi.org/10.1148/ryai.230017

European Parliament, Directorate-General for Parliamentary Research Services, Lekadir, K., Quaglio, G., Tselioudis Garmendia, A., et al., Artificial intelligence in healthcare : applications, risks, and ethical and societal impacts, European Parliament, 2022. https://data.europa.eu/doi/10.2861/568473

About the author: Dr. Timothy Myers, MD FACR is National Medical Director at Synthesis Health Physician Services. Dr. Myers has more than 20 years of experience in teleradiology and emergency radiology as a radiologist and executive.

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