摘要: Risk stratification in healthcare is defined as the process of assigning a risk status to all patients in a practice. The risk status is based on data collected through a multitude of sources such as medical history, health indicators, and the lifestyle of an adult or paediatric population. The objectives of stratifying risk include addressing population management challenges, individualizing treatment plans to lower risks, matching risk with levels of care, and aligning the practice with value-based care approaches.

摘要: 時下城鄉醫療資源分布不平均,常常出現偏鄉患者花大把時間才能接受診治的情況,且偏鄉醫院醫生少、設備缺乏,容易導致病患錯失黃金救治時間。然而伴隨網路、AI、機器人的出現,「遠端醫療」成為醫界與科技協作的新契機。而在遠端醫療體系中,智慧傷口量測系統尤其重要。

摘要: 日本光學儀器大廠奧林巴斯 (7733-JP),與東京慈惠會醫科大學共同進行顯微授精的共同研究。計畫藉由 AI 技術在生殖醫學上的運用,輔助胚胎培養師在精蟲挑選作業上更加準確也更有效率。這項 AI 技術預定在 2020 年 12 月前完成,計畫屆時與該公司的顯微鏡系統一同進行銷售。

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