Improved Patient Monitoring : A 2018 study published in the journal Nature, demonstrated that vision analytics could be employed to effectively monitor patients in the ICU for signs of sepsis. The study revealed that vision analytics achieved an impressive accuracy of 90% in detecting sepsis, outperforming traditional methods, which had an accuracy rate of 70%.
Enhanced Surgical Procedures: A 2017 study published in Nature Medicine demonstrated that vision analytics could effectively guide surgeons during robotic-assisted surgery, leading to enhanced surgical accuracy and precision. Additionally, the use of vision analytics reduced the duration of the procedures, optimizing surgical outcomes.
Automated Diagnostics: A 2019 study published in Ophthalmology, demonstrated that vision analytics using deep learning technology could effectively identify skin cancer with an accuracy rate of 85%. This advancement is critical in the early detection of this serious disease, which can have fatal consequences if not diagnosed promptly. Choose our Vision Devlopment Services today Visit axiussoftware.com to know more.
Nature (2018). “Vision-based sepsis detection in the ICU.” Nature 555.7697 (751-755). doi:10.1038/nature25757
Nature Medicine (2017). “Vision-guided robotic surgery.” Nature Medicine 23.8 (917-923). doi:10.1038/nm.4366
Ophthalmology (2019). “Automated detection of skin cancer with deep learning.” Ophthalmology 126.12 (2083-2092). doi:10.1016/j.ophtha.2019.06.009