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【2020 Application Example】 AI Fights Pandemic: 6 Times Efficiency Increase in Wuhan Pneumonia Quarantine

Combatting the epidemic is like fighting a fire. With the increasing influx of returning residents, the pressure of Wuhan virus quarantine is mounting, consuming more time. Shortening quarantine times will positively benefit disease prevention efforts. At a hospital in Southern Taiwan, the 'Smart Medical Clinical Decision Support System' has helped reduce the time taken for high-risk patients from entry at the quarantine station to clinical decisions by doctors. It originally took about 2 and a half hours, but now it's down to less than 30 minutes, increasing the quarantine efficiency by 5 to 6 times and significantly reducing the risk of cross-infection between medical personnel and patients, as well as the manpower needed for quarantine.

As waves of overseas students densely return to Taiwan, not only the Central Epidemic Command Center, but also various medical institutions are tightening up, closely monitoring every quarantined individual. There are also concerns about the potential infection risks to colleagues, which is exhausting. At this point, employing AI technology to enhance quarantine efficiency is indeed a great blessing for the medical units and the health of the nation.

AI-Assisted Medicine Multiplies, Becoming a Hero in Pandemic Control

To combat the severe pandemic of novel coronavirus, the hospital has integrated various smart medical techs and developed the 'Smart Medical Clinical Decision Support System', raising quarantine efficiency by 5 to 6 times. It has shortened the time taken for high-risk patients from entering the quarantine station to doctors making clinical decisions from 2 and a half hours to less than 30 minutes, effectively reducing the risk of cross-infections.

The 'Smart Medical Clinical Decision Support System' implemented by the hospital includes three components: front-end automation of medical records, AI-assisted interpretation of chest X-rays for diagnosing pneumonia, and continuous updates of clinical decisions based on the latest epidemic data provided by the health department. This significantly enhances the hospital's response and decision-making ability in quarantine and epidemic prevention, and greatly benefits Taiwan's anti-epidemic efforts through the multiplicative effect of AI-assisted medicine.

National Cheng Kung University collaborates with the hospital, using smart medical technology to enhance quarantine efficiency (Photo source: Official website)

▲ National Cheng Kung University collaborates with the hospital, using smart medical technology to enhance quarantine efficiency (Photo source: Official website)

In the aspect of medical record automation, existing medical institutions often use traditional paper or verbal reporting, which potentially increases the risk of contact infections among medical staff and patients. The automated medical records system in this hospital allows patients to fill out their own medical history, including travel, occupation, contacts, and clustering, using tablet computers. These records are uploaded to the electronic medical record system, enabling immediate access by medical staff to make clinical decisions. Each tablet is disinfected with alcohol after every use, reducing the risk of cross-infection and enhancing the efficiency of the quarantine station.

The hospital's Wuhan pneumonia screening shows a sensitivity and accuracy of up to 80% and 90%, respectively.

The 'Chest X-Ray AI Interpretation for Pneumonia System Model' developed by the hospital's Department of Radiology, with active participation from Professor Yong-Nian Sun's team at the College of Electrical Engineering and Computer Science. Utilizing a tuberculosis X-ray AI auto-interpretation model developed by a previous AI biotech medical innovation research center project, it was adapted to the hospitals' pneumonia imaging data. The collaboration between the parties ensured rapid completion. Currently assisting in over 152 suspected Wuhan pneumonia screenings, sensitivities and accuracies of up to 80% and 90% have been achieved, respectively.

Moreover, for students conducting in-home quarantine at school dormitories, the university has adopted a smart monitoring approach with a 'Warm Heart Smart Bracelet' developed by a cross-disciplinary team, which continuously monitors quarantined individuals' body temperatures and heart rates as indicators for predicting symptoms. When a rise in body temperature is detected, individuals can proactively confirm abnormal symptoms via a smartphone app and be prompted to seek medical attention. Currently, bracelets are collected weekly and data is centrally uploaded to a cloud platform by the management staff for ongoing tracking, wholly enhancing the level of pandemic control internally and externally.

The cross-disciplinary team at the university uses 'Warm Heart Smart Bracelets' to implement home quarantine policies effectively (Photo source: Official website)

▲ The university's cross-disciplinary team uses 'Warm Heart Smart Bracelets' to implement home quarantine policies effectively (Photo source: Official website)

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

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【導入案例】防患於未然 麗臺科技研發心臟衰竭AI辨識技術可及早發現病徵
Preventing Problems Before They Arise: Leadtek Research Develops AI Technology for Early Detection of Heart Failure Symptoms

With the increase in the elderly population, the incidence of various chronic diseases is rising daily Among these, heart failure is not only a silent killer it has a very long disease course with a high recurrence rate, leading to increased burden on healthcare personnel However, by using medically certified electrocardiography acoustics devices, coupled with AI predictive assessment of heart failure risk and remote care systems, diagnosis can be aided significantly, helping doctors make accurate diagnoses for subsequent patient medical care or referrals Heart failure has a lengthy course and medical expenditure is five times that of diabetes If you find yourself short of breath even with minimal movement, or if you wake up from sleep needing to sit up to feel comfortable, or if you have symptoms such as swollen lower limbs, anxiety, restlessness, fatigue, or a loss of appetite, be cautious These could be signs of heart failure According to statistics, there are about 60 million 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Leadtek, a major graphics card manufacturer, has been investing in the medical and healthcare sector since 2000 Following two heart attacks in 2011 and 2015 experienced by Chairman Lu Kunshan, Leadtek has focused on health big data, independently developing AI technology for heart failure recognition This AI application reads patients' electrocardiograms and phonocardiograms to perform anomaly detection and model prediction of heart failure risk, enabling early detection of disease symptoms Leadtek independently developed heart failure AI recognition technology to predict medical history and risk Leadtek's independently developed heart failure AI recognition technology has the following three judgment functions 1 Prediction of heart failure history Classifies electrocardiogram and phonocardiogram data into 'with hospitalization history of heart failure' and 'no history of heart failure' 2 Risk prediction of heart failure Provides a predictive risk value of heart failure occurrence based on the electrocardiogram and phonocardiogram data 3 Prediction of heart failure recurrence risk For patients with heart failure, it reads their phonocardiogram and electrocardiogram data, assessing the risk prediction of heart failure recurrence Leadtek states that the application of heart failure AI recognition technology can assist doctors in making more efficient and accurate diagnoses, facilitating subsequent medical treatment or referrals for patients As an instance, in studies of heart failure patients discharged from Taipei Veterans General Hospital, using the EMAT Electromechanical Activation Time index and SDI Systolic Dysfunction Index calculated by the synchronized electrocardiography-acoustic device as treatment guidelines resulted in a higher survival rate compared to those treated based on traditional symptoms This research has also been published in the authoritative international cardiology journal JACC, receiving recognition in the international market System 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mobile APP and observing the risk of heart failure, engaging in exercise and rehabilitation training to aid in swift recovery The heart failure AI recognition technology system can also be extended to employee home care applications Additionally, in factories or offices, this system can also achieve employee health management goals, with applications including One, workplace safety units Provide employees with wearable electrocardiogram recorders before they start work duties Two, physiological monitoring for business executors While executing business duties or training, employees wear wearable electrocardiogram recorders for fatigue warnings, signaling whether physiological conditions allow continued execution of tasks Task segments can use data transmission boxes or apps to upload physiological monitoring information to the health management platform, assessing the heart failure risk for operations staff, with test data serving as an indicator for enterprise resource human units and public safety Three, workplace physiological monitoring center care The workplace physiological monitoring center can inspect and record employees' historicalphysiological trends through the health cloud platform Four, workplace nursing units Nursing units receiving instructions from the physiological monitoring center can provide health management advice based on employees' physiological trends nursing centers can manage employee health through the health management backend Web Five, employees can wear health bracelets to monitor activity, fatigue, circulation, and sleep, autonomously managing their health and observing the risk of heart failure through the mobile APP, engaging in exercise and rehabilitation training to aid in rapid recovery Workplace application of heart failure cloud care and big data center diagram「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

這是一張圖片。 This is a picture.
[2023 Case Study] AI Steps into Philanthropy: Stylish Tech at Food Banks

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and donors After receiving donations, these resources are then allocated to needy families or individuals There is a potential issue of uneven distribution of resources due to a lack of digitalization and integrated information management in these processes Warehouse and Transportation Centers and Mini Food Banks Distributing Resources to the Disadvantaged The location under validation by the Kaohsiung Charitable Organizations Association,Hereinafter referred to as 'Kaohsiung Charity' In109year6month24Officially inaugurated Taiwan's first 'Food Bank-Warehouse and Transportation Center' at a location measuring200square meters, enhancing the efficiency of food resource redistribution, proper storage, and management So far, nearly two hundred tons of vegetables and fruits have been saved, serving over a hundred organizations and benefiting over5thousand vulnerable households, and continues to serve19mini food banks, with planned completion across multiple districts in Kaohsiung, 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turnover rate This highlights the challenge of scaling up food bank services while lacking corresponding labor and material management systems At the same time, food bank resources come from various donations, thus they vary greatly in type, shelf life, standards, and quantity Volunteers at mini food banks, mostly also elderly, must handle multiple responsibilities such as case services, food resource management,resource allocation, and resource development Sometimes they must also explain and accept immediate, large quantities of specific resources, such as adults receiving baby formula 'Food Bank-Warehouse and Transportation Center' Resource Inventory Relies Entirely on Manual Labor Mini Food Bank Volunteers Handle Multiple Responsibilities Photo Source Taiwan Food Bank Association Reducing Scrap Resources60 Increasing Speed of Resource Transfer80 To enhance resource management and ensure effective use of materials, and to address personnel shortages, this field validation case has 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to needs, effectively providing resource assistance WithAIthe system's introduction and the establishment of data intelligence, it helps the operations of the warehouse and transportation center, allowing more time for the allocation of donated goods The introduction aims to accelerate the digital service rollout for social welfare organizations, thoroughly addressing the needs of the overall vulnerable segments of society Using the system for resource allocation and dispatching Photo Source Kaohsiung Charitable Organizations Association Following this field validation, it is possible to expand the system to other food bank service pointsAIThe system can also collaborate with more non-profit organizations, public welfare groups, and charitable organizations, expanding 'Food Bank Warehouse Resource CollectionAIAutomated Early Warning Demand Assessment System' application range such as medical supply distribution, helping more organizations manage and distribute more intelligently, 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【解決方案】搭上綠能商機 華鉬實業打造全釩液流電池儲能系統設備 長效儲能的最佳選擇
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

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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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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」