Voicebrook’s Post

AI can help rule out abnormal pathology on chest x-rays

Check this out! Synapse Pathology | Dr Lloyd talks about an intuitive IMS, an easy & efficient way to do pathology

As in many change projects, the goal of implementing a digital pathology workflow is to increase efficiency and/or improve quality. Simply digitizing pathology slides does not accomplish either of these. True advancement depends on how the digital images are used and how the processes and procedures are improved. This is what defines the success of digitization. This white paper brings together 10 important lessons learned from over 100 digital pathology implementations around the world, unveiling key insights into how to enhance efficiency and quality in labs. Read the white paper: https://lnkd.in/dBJTnwrJ   #enterpriseimaging #digitalpathology #pathology

Over the years we have collected a lot of experience of what is needed for a successful digital pathology implementation. Regardless of if you are a single pathology lab or part of a multi-lab enterprise deployment project, this article contains some of the lessons learned from digitizing 100+ diagnostic labs 💡 Want to learn more? Just reach out to me or my Sectra colleagues!

AI in microscopy: Enabling intelligence in the pathology world #fetransformX #AI #artificialintelligence #microscopy #pathology #intelligence

This comprehensive approach enables Quantum Pathology to address a wide spectrum of histopathology use cases with efficiency and precision. https://lnkd.in/gjFfZpXe

Learn about PathLab's exciting journey to Digital Pathology below ⬇ What does your digital pathology journey look like today? 👀🔬 Reach out to learn how Pramana can transform your pathology workflow today.

Check out this recent publication in Laboratory Investigation! "...the review examines how AI can contribute to enhancing the quality and control of diagnostic processes, introducing new workflow options, and addresses the limitations and caveats associated with current AI platforms in this context"

Excited to share our recent publication "Advancing AI Integration into the Pathology Workflow: Exploring Opportunities in Gastrointestinal Tract Biopsies" in Laboratory Investigation. We explore the integration of AI in pathology, focusing on its application in gastrointestinal tract biopsies. Our review dives into the current landscape of AI applications specifically in GI tract biopsies, and emphasizes AI's potential in improving diagnostic accuracy, workflow efficiency, and quality control, while also addressing current limitations and the necessity for tailored AI solutions across various subspecialties in pathology. Join us in exploring how AI can potentially bring precision, efficiency, and adaptability into the GI pathology biopsy service!! https://lnkd.in/ekimgC_V Murray Resnick & Robert Egger #Pathology #ArtificialIntelligence #GastrointestinalBiopsies #digitalpathology #workflowoptimization #LaboratoryInvestigation

A machine-learning tool created by Weill Cornell Medicine and Hospital for Special Surgery (HSS) investigators can help distinguish subtypes of rheumatoid arthritis (RA), which may help scientists find ways to improve care for the complex condition. The study published in Nature Communications shows that artificial intelligence and machine learning technologies can effectively and efficiently subtype pathology samples from patients with RA. The technology may provide new insights into the disease by detecting unexpected tissue changes that humans might miss. By saving pathologists time on subtyping, the tool may also decrease the cost and increase the efficiency of clinical trials testing treatments for patients with different subtypes of RA https://lnkd.in/dKMJ5da8