Cleerly uses AI to identify the features of plaques that may cause heart attacks Cleerly 與 ClearDATA 合作以確保患者健康數據的安全

Updated

Cybersecurity is important to every industry, but none more so than in healthcare, which is some of the most personal information you can get on a person. Yet, nearly 50 million Americans had their protected health information breached in 2021, a threefold increase in three years. This is an expensive problem too: according to the Cost of a Data Breach Report 2021, published by IBM Security and Ponemon Institute, the average cost of a data breach in the healthcare industry is $9.23 million, which is higher than the global average cost of $4.24 million across all industries.

Founded in 2017, Cleerly’s platform is aimed at every stakeholder in the care pathway, including imaging physicians, clinicians, patients, and payers. It includes a data visualization platform to improve the understanding of heart disease, patient-facing educational solutions, and automated data curation. It's also able to deliver coronary results in as quickly as one hour.  The platform uses AI and machine learning that is based on millions of annotated lab images, which the company used to build more than two dozen algorithms, which are capable of quantifying and characterizing the presence, extent, severity and type of coronary artery disease and other cardiovascular disorders. Recently, the company launched a second product, called Cleerly Compare, which allows the AI to do direct comparative analysis on more than one scan to see how much disease has progressed over time, allowing doctors to have comprehensive, personalized data of individual disease so that they can start treatment an early as possible.

網絡安全對每個行業都很重要,但在醫療保健領域尤為重要,這是您可以獲得的關於一個人的一些最私人的信息。然而,到 2021 年,將近 5000 萬美國人 的受保護健康信息遭到洩露,三年內增加了三倍。 根據 IBM Security 和 Ponemon Institute 發布的《2021 年數據洩露成本報告》,醫療保健行業數據洩露的平均成本為 923 萬美元,高於全球平均成本所有行業 424 萬美元。

Cleerly 的平台成立於 2017 年,面向護理路徑中的每個利益相關者,包括影像醫師、臨床醫生、患者和付款人。它包括一個數據可視化平台,以提高對心髒病的理解、面向患者的教育解決方案和自動化數據管理。它還能夠在最快一小時內提供冠狀動脈結果。 該平台使用基於數百萬個帶註釋的實驗室圖像的人工智能和機器學習,該公司使用這些圖像構建了超過兩打的算法,這些算法能夠量化和表徵冠狀動脈疾病和其他疾病的存在、程度、嚴重程度和類型心血管疾病。最近,該公司推出了第二款名為 Cleerly Compare 的產品,該產品允許 AI 對不止一次掃描進行直接比較分析,以了解疾病隨著時間的推移進展了多少,從而使醫生能夠獲得個體疾病的全面、個性化數據,從而他們可以儘早開始治療。

【MORE】
Source: Vator News