Bruno Henrique Moreira
Universidade Federal do Rio de Janeiro, Brazil
ABSTRACT
The clinical translation and integration of digital pathology into ordinary diagnostic practice has been facilitated by the inclusion of artificial intelligence (AI) algorithms. Clinicians will be able to diagnose diseases more quickly and precisely than with traditional pathology methods thanks to the clinical adoption of platforms based on AI-assisted digital pathology. This will enhance patient outcomes and lay the foundation for modern pathology. Slides can be sent from a local computer to a remote screen over normal TCP/IP services in a matter of seconds by implementing a region-on-demand procedure and an image server. Another precaution against losing presentations and data is to use cloud-based automated backups. The research based on primary data for determine the research used smart PLS software and run result included descriptive statistic, correlation coefficient, confidence interval related to them. By maximizing capacity under resource restrictions, virtualized hardware not only offers reliability but also has the potential to save maintenance costs over time. The ability of cloud technologies to allow several doctors to examine or process pathology pictures simultaneously is another important feature. Because memory and processing capacity in the cloud can be scaled up according to the number of users, simultaneous multi-user slide viewing and processing is conceivable, and users just pay for the computational power needed. Additionally, cloud solutions can drastically lower capital expenses related to IT support (such as installation and maintenance fees), giving hospitals greater access to digital pathology technology. The integration of cloud-based digital systems results in a major reduction of local IT needs, with the onus being transferred to off-site infrastructures.
Keywords: Cloud Computing Solutions (CCS), Integrating Pathology Laboratory (IPL), Information Systems (IS).
