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Harness the power of artificial intelligence to optimize medical imaging.
Artificial intelligence (AI) has gained entry into everyday life in various ways and Healthcare is likely to undergo a fundamental transformation in the near future. AI is the stepping stone to materialise the transformation toward value-based healthcare by making medical equipment smarter, imaging and lab results faster and more accurate, and examinations and treatment more precise.
Medical imaging is expected to implement a wide range of AI-driven solutions expanding the current applications and paving the way for quantitative, standardized, personalized imaging, which will excel in accuracy and enable sustained productivity increases with optimised workflow solutions.
Medical records and professional communications raise important ethical concerns for the treating or consulting clinician. Special care is due with regard to thoroughness and honesty, collaboration and cooperation, autonomy and dignity of the patient, confidentiality of the patient and family members, maintaining objectivity and neutrality, electronic communications media, and professional activities.
In Medicon.AI, we believe that cooperation among key players in technology, research, radiology, and the regulatory bodies can safeguard the effective and swift integration of AI into clinical practice. Our seamless collaboration with research institutes, clinical centres, and technology hubs of excellence aims at setting new benchmarks in diagnostic medical imaging.
We focus on creating efficient and fast-performing diagnostic tools, fully integrated into the clinical radiological workflow, that will expand the radiologist’s efficiency and decision-making capabilities, leading to earlier and better detection of disease and improved outcomes for our patients.
We are endeavouring to enable higher automation and productivity in a growing number of critical areas in the work-flow realm to help radiologists cope with the increasing demands and the limited capacity. Our AI-tools are designed to standardise workflow, improve efficiency, and address the need for more quantitative imaging.
Our approach is to make intelligent imaging, the automatic selection and application of the appropriate imaging tests to patients depending on their underlying condition and disease symptoms. We envisage our AI-tools to harness the unprecedented amount of information retrieved by high-density imaging and its post-processing is challenging for the human cognitive capacity.
We develop algorithms that are central component of the integrated diagnostics platform, a platform aiming at elevating the level of diseases diagnosis by combining clinical, pathological, and imaging information mined in the medical records.
