The common bottlenecks which might slow down your business growth
Reports are increasingly vulnerable to tampering and mishaps due to the abundance of outsourcing.
The number of professionals going into the field of pathology has been on the decline.
The requirement of expertise and testing protocols create various complications in the lab testing procedures.
The lack of involvement of pathologists in clinical processes and patient examination, causing an interference with holistic diagnosis.
Lab testing costs and operational expenses is increasingly hampering the quality of pathology.
Conventional procedures are preferred and a resistance to evolving technologies, causing low quality diagnosis.
Holistic diagnosis through AI pathology-related technology, featuring intelligent machines for digital imaging
Pathologists have long been using traditional diagnosis methods that are time consuming and prone to errors. AI pathology-based diagnosis uses automated diagnostic devices to offer a shorter turnaround time then traditional microscopic testing. Additionally, the possibility of errors is reduced through quality control of digital pathology software, along with a more holistic collaborative approach.
AI for pathology causes an instant transformation, wherein pathologists in the digital realm are no longer dealing with glass, but with pixels that can be sent to any part of the world for specialized examination. Through image analysis algorithms, AI in medical testing allows for automated analysis that is generated through the basis of research and recorded data in the software.
AI for pathology leverages the predictive analytics technology to assist clinicians to identify disease vulnerability prior to its onset. This creates a culture of preventive care as opposed to remedial care. Through intelligent machine learning, patients who are prone to a certain illness are flagged and therefore, capture the attention of the pathologist who can then advice long term care.
An AI-based pathology solution that uses neural elements to make the system identify objects that have been rarely or never seen. Through advanced algorithms, these objects are then analyzed and highlighted to the pathologist, along with a detailed account. The process is further enhanced through a suggested translation of the implication of the identified object.
An image segmentation technique is a distinguished feature of AI-based pathology technology, wherein mathematical morphology is applied to segregate images through the watershed transform and the homotopic modification. Intelligent and automated features of segmentation allow the pathologist to operate with higher efficacy.
This AI pathology solution offers holistic diagnosis by expanding its reach to capture the full-spectrum of the sample/ specimen on the slide, which is in direct contrast to the restricted view of microscopic study. The resultant data and report generation that is obtained from WSI technology is much more comprehensive than traditional methods and can also be used for historic recording purposes.
We follow every government's regulatory mandate and create solutions that adhere to strict protocols.
Stay current with resources that talks about your business, curated by our experts
Webinars
eBOOKS
Let us address your challenges with our solutions