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Healthcare

Image analysis

Medical Assistants

AI platform for chest CT-scan analysis (early stage lung cancer detection)

AI platform for chest CT-scan analysis (early stage lung cancer detection)

For:
Healthcare authorities
Goal:
Anticipate Risks, Improved Employee Efficiency
Problem addressed
To facilitate early stage oncology chest CT-scans through the application of the
Botkin.AI platform based on artificial intelligence
Scope of use case
Detecting malignant neoplasms (lungs) on chest CT-scans
Description
Botkin.AI implements its own patented technology to create
a digital model of the patient. This allows for state-of-the-art
results derived from the companys algorithms, confirmed by
scientific publications. The Botkin.AI platform core goals are
improved oncology detection at early stages and
prioritization of patient flow. The company provides its own
developed digital imaging and communications in medicine
(DICOM) viewer. The platform may be integrated into any
type of picture archiving and communication systems
(PACS)/central archive of medical images such as SaaS
solutions, or as part of a medical institutions closed
infrastructure. The company is ready to provide
customizable integration options to fit the needs of varying
customers.
Hybrid intelligence technology allows for the combination
of the AI platforms sensitivity with the specificity of a skilled
radiologist. Botkin WorkFlow technology may also be used
to manage the flow of different radiological studies. Botkin.AI plans to demonstrate a platform that increases the
efficiency and effectiveness of radiological analysis. This
product addresses two main medical issues: an undersupply
of radiologists in the workforce; and missed malignant
neoplasms on chest CT-scans. With the introduction of this
technology, thousands of lives can be saved via improved
early stage oncology.
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