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【2020 Application Example】 AI Medical Imaging Recognition System, Enhances Recognition of Malignant Breast Tumors!

編輯群2020-06-22

Avoid unnecessary invasive biopsy examinations, all thanks to the professional judgment of radiologists!

Medical imaging recognition is a crucial task for radiologists, who must make professional judgments based on patient's examination data. Upon identifying a tumor, it must be determined whether it is cancerous; feasible methods include 'non-invasive medical imaging' and 'invasive biopsy examination'.

The advantage of biopsy examinations is that they can provide very accurate diagnoses, however, as they are invasive, doctors and patients will avoid this method if the probability of severe conditions is low. One of the responsibilities of radiologists is to provide related professional judgments to aim for the most ideal situation.

Radiologists are overwhelmed, standards for judging tumor benignity or malignancy fluctuate, exposing a crisis in medical quality!

With the popularization of medical imaging examinations and the gradual flourishing of preventive medicine concepts, the burden on radiologists has been increasing. A single doctor needs to handle multiple patients at once, and under conditions of long working hours and multiple patients, the standard for judging the benignity or malignancy of tumors based on images can fluctuate, resulting in patients not receiving optimal medical quality.

Tatung Science and Technology Ｘ National Taiwan University Develops 'AI Medical Imaging Recognition System', Introduced to Medical Institutions, Effectively Enhances Tumor Interpretation Efficiency and Accuracy!

Tatung World Technology Co., Ltd. and the Research Team of the Institute of Biomedical Electronics and Informatics at National Taiwan University jointly developed the 'AI Medical Imaging Recognition System'. The trained model can interpret the benignity and malignancy of breast X-rays, with an accuracy rate reaching 85%. This system has been introduced to the radiology department of a central medical institution for POC verification, helping to reduce the workload of radiologists and the waiting time for patients' examination reports.

Breast Tumor AI Interpretation System Diagram

▲Breast Tumor AI Interpretation System Diagram

In the future, the correlation between the breast imaging report, data system (BI-RADS) grading, and AI benign/malignant interpretation will also be further defined, transforming the imaging interpretation from a binary system to a probabilistic BI-RADS grading. This will assist the institution in establishing a common standard and enhance the efficiency of cooperation across different medical specialties.

Benefits of Introducing AI Identification System

▲Benefits of Introducing AI Identification System

Replicating successful models, laying the foundation for the AI medical imaging big data era!

The development model of this AI Medical Imaging Identification System can be applied to different types of medical imaging, including: computed tomography scans, ultrasound imaging, etc.; and can integrate natural language processing capabilities with pathology analysis reports, laying the foundation for the AI medical imaging big data era.

「Translated content is generated by ChatGPT and is for reference only. Translation date：2024-05-19」

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【解決方案】佐翼科技無人機導入高爾夫球場域 可節省一半人力
Droxo Tech Applies Drones in Golf Courses to Reduce Manpower by Half

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internal and external resources Only then will we be able to gradually achieve the goal of making golf courses smarter and smoothly assist the industry with transformation Zuoyi Technology's CEO, Liu Junlin 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

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Taking advantage of green energy business opportunities, Hua Molybdenum Industry creates all-vanadium redox flow battery energy storage system equipment, the best choice for long-term energy storage

Green energy is the future trend and will surely lead to huge business opportunities in the future Wind power has been one of the green energy sources that have attracted global attention in recent years It will become an important force in my country's renewable energy and help Taiwan's power generation reach the goal of 20 by 2025 to improve Taiwan's energy independence As the number and power of domestic wind turbines wind turbines increases year by year, it is particularly important to ensure that the power storage equipment achieves safe, long-term performance, is not easily attenuated during charging and discharging, and is sustainable, low-carbon and environmentally friendly At the same time, the wind turbine equipment itself Health inspection, maintenance and repair have also become the focus of wind farm operators In order to meet the needs of wind farm customers, the green energy business unit of Hua Mo Industry has launched long-lasting energy storage all-vanadium redox flow battery electrolyte and wind turbine AI predictive operation and maintenance, providing 100 safety, long-term efficiency and reducing customer initial manufacturing costs cost-effective power energy storage equipment, and through AI predictive operation and maintenance services to help customers reduce power generation costs by 10 and save up to 30 in maintenance and warranty costs Hua Molybdenum Industry was established in 1998 The industry started by refining vanadium, molybdenum and rare metal elements and other products, and used them in high-end steel, professional chemicals and specialty chemicals industries, and vanadium is more like a steel-making Vitamins can increase the effectiveness of steelmaking Among them, vanadium and molybdenum related products are one of the company's main projects The company sees that the all-vanadium redox flow battery, which is 100 vanadium-based, will be a very promising mainstream green energy technology in terms of long-term energy storage in 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the problem of having no natural vanadium resources To this end, Hua Molybdenum Industry uses original technology to use waste catalysts from petrochemical industries such as CNPC refineries or Taishuo petrochemical processes Up to 10 of the vanadium ion content can be used to extract high-value vanadium resources, thereby producing Taiwan's 100 self-made all-vanadium redox flow battery electrolyte without being affected by resources, effectively achieving resource recycling Since 2017, Hua Molybdenum Industrial has successfully created all-vanadium flow electrolyte technology, and has successfully passed product verification by the Industrial Research Institute, the Nuclear Research Institute and many international manufacturers Taiwan’s power storage energy target is to reach 15GW in 2025 Its power distribution includes 500MW in Taipower’s automatic frequency regulation system, 500MW in E-dReg and 500MW in existing or newly built solar power plants For example, electricity 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smart operation and maintenance allows customers to reduce power generation costs by 10 and save maintenance and warranty costs by up to 30 Hua Molybdenum Industry not only improves the long-term power storage efficiency of renewable energy customers through all-vanadium redox flow battery energy storage system equipment and helps customers reduce initial purchase costs, but also uses AI smart operation and maintenance empirical calculations for offshore and onshore wind turbines Field demonstrations were drawn on Taipower's onshore wind farm, and we actively accumulated our own technical experience and energy in AI predictive operation and maintenance With the support of the AI HUB project of the Industrial Bureau of the Ministry of Economic Affairs, the cooperation site will focus on the Phase I wind farm of Taipower Corporation and provide smart operation data of wind turbines for more than 6 months for analysis The AI predictive operation and maintenance system for onshore wind turbines uses machine learning The main technology provider comes from ONYX Insight, a subsidiary of British Petroleum BP The company uses AI Hub analysis software technology to analyze the wind turbines faced by Taipower Pain point analysis, including power generation loss of road-based wind turbines and damage prediction of key components of land-based wind turbines such as gearboxes, pitch bearings under abnormal vibration three-dimensional vibration frequency or abnormal temperature, etc output Through this implementation, it can effectively help Taipower reduce power generation costs by 10, increase asset value by 12, and save up to 30 in maintenance and warranty costs In the past three years, ONYX Insight has successfully predicted and operated more than 20,000 offshore or onshore wind turbines around the world, accumulating extremely high AI model accuracy It is believed that the international partnership established with ONYX Insight will effectively guide and accelerate the green energy division of Hua Molybdenum Industry in its goal and layout to become an independent technology service provider for wind turbine AI predictive operation and maintenance Works with partner ONYX insight to provide customers with an AI predictive operation and maintenance system, including wind turbine power generation loss and damage prediction of key wind turbine components Building a solid foundation for domestic wind turbine operation and maintenance, using Taiwan as a base to expand to Southeast Asian wind farms The market output value of offshore wind turbine AI predictive operation and maintenance in Taiwan will exceed NT30 billion in the future, and the energy storage market has an output value of more than 100 billion US dollars globally In the future company vision, Hua Molybdenum Industrial hopes to become An independent technical service provider for vanadium flow battery electrolyte and wind turbine AI predictive operation and maintenance The long-term goal is to establish a local supply chain of vanadium flow battery electrolytes around the world by accumulating abundant technology and performance capital to supply industry needs nearby 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

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