What is Digital Pathology
A branch of pathology called "digital
pathology" focuses on data management using data derived from
digitalized specimen slides. Virtual microscopy is used in digital pathology thanks
to computer-based technology. Slides made of glass are transformed into digital
slides that may be controlled, shared, and examined on a computer screen. The
field of digital pathology is expanding and has applications in diagnostic
medicine with the use of Whole-Slide
Imaging (WSI), which is another name for virtual microscopy, with the aim
of achieving effective and affordable diagnoses, prognosis, and disease
prediction due to the success in Artificial Intelligence and Machine Learning.
A wide range of clinical applications, including diagnosis of frozen sections, primary histopathological diagnosis, second opinion diagnosis, subspecialty pathology diagnosis, education, competency evaluation, and research, are currently being carried out using digital pathology.
In histology, pathology, oral pathology, oral histology, forensic medicine, veterinary pathology, zoology, botany, and other biological sciences, digital pathology technology is used. Here, we'll focus on applications in the fields of medicine, dentistry, and paramedicine.
·
Second opinion/Pathology Consultation
·
Presentation in meetings, seminars, or
symposiums
·
Slide boxes and departmental digital slide
libraries
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Medical Training
·
Pathology Analysis and Research
·
Competency evaluation
·
initial diagnosis
What Advantages Does Digital Pathology Offer?
For good reason, glass slides are here to stay. Pathology begins with a tissue sample. Even if the glass slides are later converted to a digital image, they still need to be made. However, modern pathology goes beyond scans or tissue. It's all about boosting quality, output, and other factors.
Take a look at how pathology is evolving today:Pathologists are in limited supply since more of them are retiring than are entering the field.As more people utilise digital technologies, quality and innovation have improved.
Modern pathology requires novel strategies. Pathologists lose out on advantages that cannot be attained with glass slides when they do not completely adopt digital pathology.
What is AI
The use of artificial
intelligence (AI) and machine learning in pathology is made possible by
rising levels of digitalization. However, these technologies
have only recently started to be used, and AI-based diagnosis has not yet been
demonstrated to be advantageous in randomized prospective trials. We introduce
current concepts, illustrate them with examples from representative
publications, and talk about the potential and restrictions of their
application in this review.
The current focus of AI
research in pathology is on regular diagnosis support and prognostication,
notably for cancer patients. According to preliminary research, using a
computer can help pathologists make a diagnosis more quickly and reliably.
About Journals
The improvement of disease diagnosis based on laboratory
examination of bodily fluids like blood, urine, and tissue homogenates or
extracts using the instruments of biochemistry, microbiology, hematology, and
molecular pathology is one of the topics covered in the online, open-access
journal Research Trends in Laboratory Medicine and Pathology.
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