This collaboration holds the promise to reduce overtreatment with integrated AI-powered pathology workflows
The National Pathology Imaging Co-operative (NPIC) has successfully connected another NHS Hospital Trust to its national digital pathology imaging network. This marks another major step towards national roll-out of the system, delivering on NPIC’s mission to revolutionise NHS pathology, enabling sharing of expertise, and harnessing artificial intelligence (AI) in diagnosis. Harrogate & District NHS Foundation Trust have now linked to the NPIC digital pathology picture archiving and communication system (PACS). This high-capacity pathology image repository and exchange system will revolutionise how pathologists provide patient services and expert opinions, which will facilitate digital transformation across pathology for the Trust.This will not only aid reducing waiting times and increase reliability of decisions but offer the ability for digital images to be extracted and anonymised for the purpose of research, training, and support testing of AI algorithms to help medical professionals make more efficient diagnoses.Deployment will continue throughout 2023 as part of a national scale across the country, connecting our further NHS partners into the national network, benefitting millions of patients.“This is a huge achievement for everyone involved and it’s great to see another NHS partner hospital connecting into the platform. Looking forward to seeing more partner Trusts joining throughout this year.” Bash Hussain – NPIC Deployment DirectorThe ambitious programme is being led by NPIC and enabled in partnership with world leading industry experts including Sectra, Leica Biosystems & Exponential-e to provide unmatched technology and expertise in this exciting an expanding field.NPIC would like to thank the members of the laboratory, pathology and technical teams who have collaborated with us to deliver this exciting addition to their Pathology Service, and particular reference to some of the key members of the Harrogate team that supported the go-live:Dr Izabela Georgiades (Lead Consultant Histopathologist)Chris Jackson (Specialist BMS in Histology)Charles Flouri (Pathology IT Manager)Stephen Jarmuz (Project Manager)About NPICNational Pathology Imaging Co-operative, NPIC (Project no. 104687) is supported by a £50m investment from the Data to Early Diagnosis and Precision Medicine challenge, managed and delivered by UK Research and Innovation (UKRI).NPIC is a unique collaboration between NHS, academic and industry partners. NPIC is deploying digital pathology across hospitals in England and will develop artificial intelligence tools to help diagnose cancer and other diseases.SOURCE: NPIC
Stanford Medicine scientists and colleagues create an algorithm that could help physicians better understand and target complicated brain tumors
AI tools applied to pathology workflows help to decrease study review times by screening high volumes of slides and providing decision support. However, barriers to AI adoption still exist, with deployment challenges that disrupt pathologist workflows. Often pathology departments in the pharmaceutical industry don’t have the time, expertise, or infrastructure for effective AI implementation.
The paradigm of the pathology laboratory is ancient and based on manual techniques difficult to control. The production of whole slide images after scanning glass slides is sensitive to non-standardized techniques that may lead to poor quality images for diagnosis. In this talk, we will be focusing on the digital transformation that a pathology laboratory needs to undergo to permit an efficient and safe environment for clinical diagnosis.
Sheba Medical Center Pioneers New Accelerated AI Cancer Diagnostics Platform Shortening Time to Diagnosis. The integrated Platform Utilizes AI Algorithms Immediately Applied to a Stained Pathological Digitized Image to Identify Actionable Biomarkers Within a Few Minutes Non-Small Cell Lung Cancer Diagnosis Solution Developed by Imagene in Collaboration with Sheba, Shortens Turnaround Time from Weeks to Minutes, Enabling Patients to Begin Personalized Treatment Earlier and Improving Outcomes.
Gestalt Ranked 223rd in the Healthcare Services Sector
The Multi-Arm Study Will Utilize Paige Prostate Detect, the Only FDA Approved AI in Pathology for Detecting Prostate Cancer
Frozen biopsy specimens are commonly used for intraoperative tumor assessment and are important for rapid diagnostic evaluations in patients with brain tumors. However, preparation of frozen biopsy specimens often presents technical challenges, requires specialized infrastructure, and is labor-intensive and susceptible to freezing artifacts. In a recent study, a group of researchers led by Prof. Chi-Kuang Sun of the Department of Electrical Engineering and Graduate Institute of Photonics and Optoelectronics, National Taiwan University, Taipei, Taiwan, developed a new digital pathology method for rapid preparation of fresh brain sections without the need for sectioning frozen biopsy specimens.1 Their method entails the use of a platform that generates high-resolution images using third harmonic generation and two-photon excitation fluorescence signals from hematoxylin and eosin (H&E)-stained specimens.
In the field of digital pathology, the introduction of whole slide images (WSIs) has brought both benefits and challenges. The primary advantage of transitioning to a digital workflow lies in the availability of high-resolution WSIs that can be accessed and analyzed digitally. This breakthrough opens numerous doors, enabling remote inspections and seamless sharing and collaboration with colleagues. Additionally, digital slides can be more easily stored, retrieved, and tracked, facilitating accessibility for future reference.
