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Journal of Intensive and Critical Care Nursing | Volume 2
J Intensive Crit Care Nurs, Volume 2
October 24-25, 2019 | Zurich, Switzerland
2nd European
Nursing Congress
International Conference on
Clinical Nursing & Practice
Joint Event
&
Notes:
A
rtificial intelligence recognition and diagnosis technology
of pressure injury is mainly used in clinical auxiliary
diagnosis system. By using the image recognition technology
of artificial intelligence, the algorithm with higher parallel
performance is designed and the special language for parallel
image processing is developed to scientifically and rapidly
identified and diagnosed pressure injury. Accordingly, the
clinical assistant diagnosis system can provide nurses with
the most possible diagnosis of pressure sore nursing and
recommend nursing measures. The application of artificial
intelligence technology has achieved great success in the
field of image diagnosis. Therefore, it is also very reliable and
safe to be used in the field of pressure injury. Such artificial
intelligence recognition and diagnosis technology can greatly
improve the correct diagnosis rate of pressure ulcer and the
work efficiency of nurses. Especially in remote areas, there is
a lack of wound stomatologists or licensed nurses, and family
members of patients can also take photos and upload them to
the system. Nurses can make remote diagnosis and guidance.
Speaker Biography
Wei Luan, Master of Nursing Science, is the director of Nursing Department
and senior nursing scholar of the Southern Hospital of Renji Hospital
Affiliated to Medical College of Shanghai Jiaotong University. She is
a member of the editorial board of several Chinese periodicals and
the professional committee of geriatric care of China Geriatric Health
Association. Two improved pressure sore measuring tools invented by her
have been patented for utility models.
e:
luanwei_renji@126.comWei Luan
Zhu Z
Renji Hospital Affiliated to Medical School of Shanghai Jiaotong
University, China
Novelties in Artificial Intelligence Recognition and Diagnosis
Technology in Pressure injury