AI in Medicine
Medical applications of Artificial Intelligence (AI) holds significant promise to improve clinical care and offer large new commercial opportunities.
Medical impacts of AI in Medicine will include better patient outcomes from faster and more accurate diagnosis, as well as more consistent treatment of disease. Economic impact will be lower overall cost of care by saving unnecessary tests and procedures, and reduced complications from unneeded and erroneous treatments. Generation of real-world evidence of their impact will be key to successful commercialization.
Clinical trial services for regulatory approval and payer reimbursement of novel AI algorithms
- Trial design to ensure regulatory approval, payer reimbursement, and maximum commercial opportunities
- Proprietary technology installed within the network of partner health systems to expedite launch of new AI algorithms to conduct clinical trials
- Clinical trial management
FDA strategy
Commercial opportunity assessment and launch strategy for algorithms
Clinical workflow design to ensure adoption
Data services: heterogenous data sets, annotation, etc
Machine learning model development and optimization
Head MRI Algorithm Validation
≥ 85%
≥ 24%
Clinical trial services for regulatory approval and payer reimbursement of novel AI algorithms
- Trial design to ensure regulatory approval, payer reimbursement, and maximum commercial opportunities
- Proprietary technology installed within the network of partner health systems to expedite launch of new AI algorithms to conduct clinical trials
- Clinical trial management
FDA strategy
Commercial opportunity assessment and launch strategy for algorithms
Clinical workflow design to ensure adoption
Data services: heterogenous data sets, annotation, etc
Machine learning model development and optimization
