Assisted diagnosis of clinical application AI and artificial intelligence model self-built platform

Model: Aiforia Clinical Suite

Category: Cell Therapy and Regenerative Medicine

Booth No: M512

Characteristic

Assisted diagnosis of clinical application AI and artificial intelligence model self-built platform

Our solutions include three major areas and can be integrated with each other:
1. Aiforia Clinical Suite artificial intelligence clinical diagnosis module

Use AI tools to assist pathologists to improve diagnostic efficiency, reduce trivial quantitative analysis work, and enhance interpretation accuracy
•With CE-IVD certification, no need for retraining and development, it can be directly used in clinical diagnosis.
•Obtain quality management system.
•Certiﬁed Quality Management System (ISO 13485) and information security management system certification (ISO 27001).

2. Aiforia Create artificial intelligence self-modeling group platform
A deep learning AI model can be established for any 2D image (such as pathological tissue sections, radiology images), various image formats (various scanners, microscope imaging systems, DICOM, and other AI platform output image formats) for quantitative analysis.

AI applied in research fields
•AI models / customized services can be tailored for users.
• More than 60 journal articles published in the fields of neuroscience, tumors/cancer, liver or other medical fields.
• You can easily build your own AI model by simply uploading the slides to the cloud platform without the help of others.
• Using this platform, we can provide you with consulting and education and training services. Subsequent training and model building can be carried out freely by customers, and the research progress, concepts and research results are in the hands of customers.
If you are interested in converting your model into a commercial model, we can also provide such assistance.

3. Education Hub Cloud Teaching Platform
The teaching platform built on the cloud can provide slide education, film sharing, cloud data storage and remote consultation functions.

• This platform is designed for courses such as histology, anatomy, pathology, parasitology and veterinary pathology.
• It can make teachers and students no longer restricted to microscopes, fixed classrooms and written materials.
• The cloud platform can accept any images uploaded by teachers using any slide scanner and share them directly with students.
•Teachers can add annotations, descriptions, medical history, case background information, etc. to the platform to complete the description of the origin and status of the entire sample and enrich students' learning resources.