GE Healthcare Unveiled 3 New Advanced Deep Learning Image Processing And Reconstruction Solutions As A Part Of Its Effortless Recon DL Portfolio At The Radiological Society Of North America 2024 Annual Meeting
GE Healthcare Unveiled 3 New Advanced Deep Learning Image Processing And Reconstruction Solutions As A Part Of Its Effortless Recon DL Portfolio At The Radiological Society Of North America 2024 Annual Meeting
- More than 80 percent of all health system visits include an imaging exam,i making radiology an essential part of diagnostics and healthcare and image quality a cornerstone of medicine.
- GE HealthCare is at the forefront of leveraging deep learning, a subset of artificial intelligence (AI), to benefit clinicians and patients with the latest technologies and solutions.
- 超過80%的醫療系統訪問都包括影像檢查,這使得放射學成爲診斷和醫療的一個重要部分,而圖像質量則是醫學的基石。
- GE健康醫療在利用深度學習這一人工智能(AI)子集方面處於最前沿,以便通過最新技術和解決方案使臨床醫生和患者受益。
GE HealthCare (NASDAQ:GEHC) unveiled three new advanced deep learning image processing and reconstruction solutions as a part of its Effortless Recon DL portfolio at the Radiological Society of North America (RSNA) 2024 Annual Meeting, in Chicago, IL. Understanding the need to improve operational efficiencies within radiology departments and the ongoing challenge of burnout experienced by clinicians, GE HealthCare developed the technologies to deliver exceptional image quality, reduce scan times, and support improved patient outcomes.
GE健康醫療(納斯達克:GEHC)在2024年北美放射學會(RSNA)年會上於伊利諾伊州芝加哥推出了三種新的愛文思控股深度學習圖像處理和重建解決方案,作爲其Effortless Recon DL產品系列的一部分。GE健康醫療理解在放射科部門提高運營效率的必要性,以及臨床醫生面臨的持續疲憊挑戰,開發了這些技術以提供卓越的圖像質量,縮短掃描時間,並支持改善患者的結果。
The quality of clinical images plays a crucial role in providing accurate diagnoses and optimizing patient care. As technology continues to evolve – deep learning – a subset of artificial intelligence (AI), has emerged as a powerful tool for clinicians. It can positively impact diagnostic accuracy and improve disease detection, which can help improve patient outcomes across clinical specialties.
臨床圖像的質量在提供準確診斷和優化患者護理中起着至關重要的作用。隨着科技的不斷髮展——深度學習作爲人工智能(AI)的一種強大工具,已成爲臨床醫生的一個有效手段。它可以積極影響診斷的準確性,改善疾病的檢測,從而幫助改善各臨床專業的患者結果。
譯文內容由第三人軟體翻譯。