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AI-powered tools drive diagnostic precision in anatomical pathology

Article-AI-powered tools drive diagnostic precision in anatomical pathology

Image via Canva Pro AI tools in healthcare
Cutting-edge technology further extends to the analysis of digital images in cytopathology.

The implementation of artificial intelligence (AI) in healthcare has paved the way for remarkable advancements, revolutionising various medical specialities. In the field of anatomical pathology, the integration of AI-powered tools and applications holds tremendous promise for enhancing accuracy, efficiency, and ultimately, improving patient outcomes.  

Anatomical pathology, a crucial branch of medicine, focuses on studying the impact of diseases on organ structures, aiming to identify abnormalities that aid in disease diagnosis and treatment management. Advanced centres in the UAE, including the Anatomical Pathology Laboratory at Sheikh Shakhbout Medical City are leveraging AI technology to empower pathology teams with enhanced diagnostic precision and create more effective treatment strategies.  

Speaking about the benefits of AI in anatomical pathology, Dr. Rawia Mubarak Mohamed, Consultant Anatomical Pathologist at SSMC, said: “AI algorithms help us analyse digital images of tissue samples, both pathology and cytopathology specimens, and detect features that would have been very difficult for a human pathologist to identify on their own.” 

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Taking the recently opened Anatomical Pathology Laboratory as a reference, she added that cutting-edge AI-powered tools and applications extend to the analysis of digital images of pathology and cytopathology specimens. 

Dr. Rawia Mubarak Mohamed

Dr. Rawia Mubarak Mohamed, Consultant Anatomical Pathologist at SSMC

These tools detect intricate features that may otherwise be challenging to identify manually. AI algorithms further ensures higher accuracy rates in diagnosing diseases and complex conditions, enabling pathologists to provide more precise treatment recommendations. Moreover, AI's ability to process vast amounts of data swiftly contributes to expediting the diagnostic process, leading to faster treatment initiation and improved patient outcomes, especially in critical cases such as cancer diagnosis. 

Breast cancer diagnosis serves as an illustrative example of how AI has revolutionised the diagnostic process in anatomical pathology. Dr. Rawia explains that traditionally, pathologists would analyse hormonal markers using immunochemistry stains, providing percentages of each hormone for treatment guidance. However, with AI algorithms and specialised systems in place, pathologists can achieve enhanced specificity and accuracy. By automating the analysis of thousands of cells, AI tools ensure a higher degree of consistency in determining the exact percentage of each hormone. This precise data equips oncologists with invaluable insights, enabling personalised treatment strategies tailored to individual patients. 

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AI's integration into anatomical pathology goes beyond improving accuracy and efficiency. It paves the way for the era of personalised medicine, where treatment approaches are tailored to each patient's unique characteristics. Through AI-driven analysis, pathologists can gather comprehensive data about genetic makeup, lifestyle factors, and medical history, allowing for a more holistic understanding of individual patient profiles. This information empowers healthcare professionals to develop targeted treatment strategies that optimise patient outcomes and minimise unnecessary interventions. The marriage of AI and anatomical pathology ushers in an era of medicine where precision and personalised care take centre stage. 

The integration of AI in anatomical pathology represents a significant milestone in healthcare. As technology continues to evolve, further advancements in AI algorithms and tools hold immense potential for the field. AI continues to mature and is poised to become an indispensable tool for pathologists, revolutionising the way diseases are diagnosed, treatments are recommended, and patient outcomes are improved. 

References available on request. 

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