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Technical category
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    • 智慧醫院 ICD10 病歷分類自動編碼系統

      FutureTech 智慧醫院 ICD10 病歷分類自動編碼系統

      Use NLP techniques to realize the automatic coding of ICD10. According to the input of the patient’s age, gender, medical order, admissions, progress note, surgical records, discharge, ICD-10 diagnostic codeICD-10 disposal code, perform machine learning model trainingcode prediction. In addition, the combination codemedical order-related coding rules in practice are used to establish corresponding rules to optimize the accuracy of AI prediction.
    • 智慧穿戴式孕婦照護與警示裝置

      FutureTech 智慧穿戴式孕婦照護與警示裝置

      Innovative wearable monitoring device for pregnant women can record the signals of contractions, fetal movement,fetal heart rate in real time. With AI intelligent classificationsequential analysis technology, it can link the difficult-to-classify GTC signal patterns with the possibility of fetal distress Finally, the position, sizeduration of fetal movement are further estimated to provide accurate follow-up clinical analysis. It allows pregnant women to monitor the relevant physiological parameters at any time at home to avoid the troublesworries caused by the risk of nosocomial infection of pregnant women.
    • 硬科技:人工智慧讓謠言無處可藏

      FutureTech 硬科技:人工智慧讓謠言無處可藏

      "Four automatic rumor detection models based on artificial intelligencenatural language processing. Rumor Detection on Twitter Using Multiloss Hierarchical BiLSTM with an Attenuation Factor Exploiting Microblog Conversation Structures to Detect Rumors Birds of a Feather Rumor Together? Exploring HomogeneityConversation Structure in Social Media for Rumor Detection Meet The Truth: Leverage Objective FactsSubjective Views for Interpretable Rumor Detection Experimental results show that these four models have greatly improved the accuracy of rumor detection, surpassing other SOTA models."
    • Intelligent image-guiding needle puncture

      Precision Health Ecosystem FutureTech Intelligent image-guiding needle puncture

      Optical coherence tomography using an optical probe with a diameter of 0.9 mm, combined with the 14-18 gauge needle, is used for clinical needle puncture. Using the real-time image obtained from the tip of the needle in the tissue, the needle position can be identified. Combined with artificial intelligence can achieve objective, accurate and automatic identification of the tissue, which has been successfully verified in anesthesia and laparoscopic surgery.
    • Applying Machine Learning to User Mobility Type Identification for 5th Generation Mobile Networks

      AI & IOT Application FutureTech Applying Machine Learning to User Mobility Type Identification for 5th Generation Mobile Networks

      Due to the fast development of 5G networks, it is critical to identify users service types to allocate resources intelligently. Our technology focuses on users mobility type identification by extracting practical features from users cellular information. We proposed a system architecturehave collected 700-hour data with 150 GB. By using our dataother datasets in the world, we show that our technology can achieve 95 accuracy,reduce 16 energy consumption compared to traditional methods.
    • 即時危險辨識系統

      FutureTech 即時危險辨識系統

      “MeDA OXR: Real-time Hazard Recognition System,” which can automatically screeninterpret the medical images in real-time, is designed for emergency rooms to assist physicians in diagnosis, reducing medical risks,improving overall efficiency. Combining portable X-RayAI algorithms, the system performs real-timeaccurate preliminary screeningdiagnoses of diseases, such as pneumothorax, pneumonia,tuberculosis. It can also locate the nasogastric tube, endotracheal tube,central venous catheter, while misplacement of that is sent to the physicians when detected.
    • 先進製程控制之決策型虛擬量測大數據分析技術

      FutureTech 先進製程控制之決策型虛擬量測大數據分析技術

      This technology aims to automatically extractdefine features from a data-driven perspective through a series of data engineering, machine learningensemble learning technologies via the big data collected from equipment sensorsquality characteristic measurement results. For products that have no quality measurement, a virtual metrology resultpredicted confidence score are provided as a decision-making basis for process control.
    • 人工智慧輔助胰臟癌偵測工具-PANCREASaver

      FutureTech 人工智慧輔助胰臟癌偵測工具-PANCREASaver

      PANCREASaver contains a “PC automatic segmentation model” (image segmentation)a “PC analysis AI model” (image classification) that can read the DICOM format of postcontrast CT images directly for the automatic analysis process. After conducting prep-processing with image processing algorithms, C2FNAS is employed to illustrate the tumor position prior to the diagnosis conducted by CNN. The results can be provided to the physician for diagnostic reference so as to reduce early omissionsincrease the detection rate of pancreatic cancer.
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