- Automated chromosome analysis to reduce the time required
- Expected to increase work environment efficiency by using AI

GC Green Cross Medical Foundation and Medical AI platform company DoAI joined hands. The GC Green Cross Medical Foundation(President Eun-hee Lee) announced on the 8th that it jointly develop a chromosome alignment and readout AI solution with medical AI platform company DoAI(CEO Yong-Joon Choi ). DoAI is an artificial intelligence platform company that has a partnership with Harvard Medical School(MGH), a member of the co-founder and CTO Syn-ho Do. ‘Chromosome Alignment and Readout AI Solution’ is an AI-based solution that analyzes chromosomal images in the metaphase of cell division to determine whether the chromosomes are numerically or structurally abnormal. The core of this solution is to automate chromosomal analysis and aim to dramatically reduce the time required compared to the previous one. The two companies are immersing themselves in the final study by filing these related research results on the pre-thesis publication site <BioRxiv> and filing two related patents.

< GC Green Cross Medical Foundation-DoAI’s AI Solution Demo Screen >
When analyzing chromosomal karyotypes to determine whether or not chromosomal anomalies existed, it took considerable time to sort and analyze chromosomes even by an experienced tester. Due to the nature of the work environment, there were also limitations that could hinder efficiency in the distribution of work and monitoring related to progress and mutual communication related to results.

However, once this solution is developed and applied, a cloud-based technology with built-in AI that can analyze chromosomes quickly and accurately can be used to instantly confirm a comprehensive interpretation considering the alignment and reading results of a clinician and clinical findings of a specialist. In addition, it is characterized in that time and physical limitations can be minimized by multiple users accessing and participating in communication between members participating in the inspection and reading process.

In addition, the overall progress of the work environment will be implemented to improve work efficiency by real-time monitoring of work progress such as work allocation and workload.

“The chromosome test is a labor-intensive test in which most of the process, from pre-processing to reading, is done by hand, which has a great effect on the quality of test results,” said Mi-na Lee, GC Green Cross Medical Foundation Specialist. “We expect to further improve the efficiency and accuracy of the chromosomal examination work and provide better quality test results to patients through collaboration with DoAI, which has accumulated various experiences in the field of medical artificial intelligence,” she said.

“This solution is applied to deep learning technology in the process of cell image screening and karyotyping, dramatically reducing the time required to work and providing the read results in a discernable form at a glance. It is expected to help quickly and accurately judge clinical findings. It will also provide an improved productivity and collaborative experience through cloud-based digital workflows.”said Jin-ah Lee, DoAI Service Planning Manager.

Reporter Kim Baek-sang [104o@mkhealth.co.kr]
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