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【2020 Solutions】 Datong World Science Uses Medical Imaging Recognition to Improve Breast Cancer Diagnosis Accuracy to 85%

The introduction of the 'AI Medical Imaging Identification System' assists radiologists to conveniently and quickly complete image identification tasks, reducing their workload.

Different Non-Invasive Options

Medical imaging recognition is an important task for radiologists, who must make professional judgments based on patient examination data. When a tumor is discovered, it is necessary to determine whether it is cancerous. The possible methods include non-invasive medical imaging and invasive biopsy. Although the invasive biopsy has a high accuracy rate, it also causes significant physical and psychological stress to the patient.

Currently, imaging recognition can only determine the presence of tumors, not yet able to detect the difference between benign and malignant tumors. To distinguish benign and malignant breast tumors, Datong World Science Company has assisted the Imaging Department of Changhua Christian Hospital, the first hospital in Taiwan to introduce the 'AI Medical Imaging Identification System'. This system has increased the accuracy rate of artificial intelligence mammography in distinguishing benign from malignant tumors to 85%, allowing for a shift from the original binary approach to a probability expression of BI-RADS grading.

AI Medical Imaging Identification System Enhances Breast Cancer Diagnosis Accuracy to 85%

The AI medical imaging recognition system can assist radiologists in making quick readings. Initially, it will target mammography. When a tumor is detected, determining whether it is cancerous requires a pathological biopsy or mammography. Pathological biopsy is invasive and, although more accurate, carries higher tangible and intangible costs.

Moreover, it helps improve the efficiency and accuracy of mammography readings. Furthermore, optimizing the mammography reading process will reduce the workload on radiologists and decrease the waiting time for patients for examination results. Additionally, with the aid of artificial intelligence, it helps reduce differences in radiologists' subjective judgments and prevent human errors, helping the institution to establish common standards and enhance collaborative efficiency among doctors from different specializations.

▲CNN (Convolutional Neural Network) Model

In addition to assisting doctors in making quick readings, here are summarized benefits of introducing the AI Medical Imaging Identification System:

1. Provides AI-assisted BI-RADS grading for mammography, helping radiologists in interpretation.

2. Optimizes medical imaging recognition processes, enhancing the degree of automation of existing procedures.

3. Uses local medical images to retrain models.

4. Adopts superior CNN models to improve accuracy and stability of the system.

5. Defines the relationship between BI-RADS grading and AI's readings of benign and malignant tumors; transitioning from a basic dichotomy to a probability representation in BI-RADS grading.

The prerequisite for deploying artificial intelligence in medical assistant decision-making is that the accuracy must exceed 85%, providing a valuable reference for radiologists. With the support of artificial intelligence, the time for radiologists to interpret a single x-ray mammography image and assign a BI-RADS grade has been reduced to 50% of the original time, from about 10 minutes to under 5 minutes, offering an efficient and accurate AI-assisted outcome.

▲Chairman Baiyan Shen of Datong World Technology Co., Ltd.

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

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【解決方案】讓硬碟裡的音樂重生 愛飛媒平運用AI為影像找到最佳拍檔
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【解決方案】聲麥無線推出殺手級5G即時AI語音翻譯 降低5成口譯成本
VM-Fi launches killer 5G real-time AI voice translator that reduces interpretation costs by 50%

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【解決方案】洞悉消費者行為 智能演譯運用AI協助餐飲業順利轉型
Insight into consumer behavior and intelligent interpretation using AI to assist the catering industry with smooth transformation

In May 2021, due to the local COVID-19 outbreak, a ban on internal use was adopted, making the catering industry feel like it has entered a cold winter, with business bleak and operations facing difficulties However, there are also catering companies that have turned the crisis into an opportunity and actively carried out digital transformation, introducing online ordering and delivery platform systems, establishing customer membership systems, etc, to effectively reduce inventory and increase sales Intelligent Interpretation, a new start-up company established just one year ago, acts as a transformation consultant for the catering and retail industry, collecting, connecting and analyzing consumer behavior data to provide the best solutions for the cateringretail industry Li Qihan, the founder of Intelligent Interpretation, is good at online marketing and website construction As AI technology continues to evolve, he graduated from the Northern Phase II Manager Class of Taiwan 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can help enterprises and AI startups find common goals, and also solve the dilemma of new startups not getting usable data, and provide identification through matchmaking on the enterprise side Based on the data, AI startups can put algorithms into practical application, and enterprises can also get solutions for digital transformation, creating a win-win situation After the epidemic, digital transformation is related to the life and death of enterprises How should the cateringretail industry choose AI companies and introduce them Li Qihan, who currently serves as an AIGO smart retail coach for the Industrial Bureau of the Ministry of Economic Affairs and a number of AI consultants, said frankly that if data analysis does not have a certain degree of understanding of AI and practical implementation experience, there may be a high chance of failure in project execution In the retail industry, when it comes to choosing an AI project company, it is best to choose a company that has actually introduced AI projects or has experience in operating e-commerce The recommended principles and steps for introducing AI into the cateringretail industry are If the problem the company asks is too big, it needs to continue to dismantle it Because different problems naturally require different ways of collecting data, with the help of consultants step by step After dismantling, use the data collected according to the usage situation to analyze, and you will naturally get the answer to the problem you want to solve After you find a certain accuracy, you can then use transfer learning to solve similar problems one by one Looking to the future, Intelligent Interpretation hopes to become the number one AI company in Taiwan in the catering and retail industries, using simple and practical methods to help the catering and retail industries implement AI and improve the competitiveness of Taiwan's industry「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」