# AI in Pathology * **Definition:** A sector focused on the application of artificial intelligence technologies in the field of pathology, projected to grow significantly in the coming years. * **Taxonomy:** CTO Topics / AI in Pathology ## News * Selected news on the topic of **AI in Pathology**, for healthcare technology leaders * 18.3K news items are in the system for this topic * Posts have been filtered for tech and healthcare-related keywords | Date | Title | Source | | --- | --- | --- | | 3/11/2025 | [**Equipping Healthcare Professionals for the AI-Powered Healthcare Revolution: Lessons ... - Medium**](https://medium.com/@alexglee/equipping-healthcare-professionals-for-the-ai-powered-healthcare-revolution-lessons-from-harvard-e8f83dd3df8b) | [[Medium]] | | 3/4/2025 | [**AI, MedTech And Big Tech: Who Will Lead The Next Medical Revolution? - Forbes**](https://www.forbes.com/councils/forbesbusinessdevelopmentcouncil/2025/03/04/ai-medtech-and-big-tech-who-will-lead-the-next-medical-revolution/) | [[Forbes]] | | 1/13/2025 | [**JPM 2025: NVIDIA, Mayo Clinic Partner on AI-Powered Digital Pathology**](https://www.insideprecisionmedicine.com/topics/informatics/jpm-2025-nvidia-mayo-clinic-partner-on-ai-powered-digital-pathology/) | [[Inside Precision Medicine]] | | 1/13/2025 | [**Aignostics Announces Results for Pathology Foundation Model Developed in Collaboration with Mayo Clinic**](https://finance.yahoo.com/news/aignostics-announces-results-pathology-foundation-173000139.html) | [[Yahoo Finance]] | | 1/9/2025 | [**The Institute of Tissue Medicine of the University of Bern deploys digital pathology for diagnostics in the cloud with AWS**](https://www.med-technews.com/news/Medtech-Diagnostics-news/the-institute-of-tissue-medicine-of-the-university-of-bern-diagnostics-in-the-cloud-with-aws/) | [[Med-Tech Innovation News]] | | 1/6/2025 | [**Deciphex Secures $32.3M Series C to Address Global Pathology Shortage**](https://finance.yahoo.com/news/deciphex-secures-32-3m-series-130000358.html) | [[Yahoo Finance]] | | 12/10/2024 | [**Torigen Launches Specialty Pathology Service To Deliver Expert Cancer Diagnoses For Pets**](https://www.prweb.com/releases/torigen-launches-specialty-pathology-service-to-deliver-expert-cancer-diagnoses-for-pets-302327358.html) | [[PRWeb]] | | 12/5/2024 | [**Digital Pathology Solution Market Overview: Future Growth Trends and Opportunities with ...**](https://www.linkedin.com/pulse/digital-pathology-solution-market-overview-future-growth-x0fuf) | [[Linkedin]] | | 11/22/2024 | [**Global Digital Pathology Analytic Market Future Trends: Segment Analysis, Revenue Growth ...**](https://www.linkedin.com/pulse/global-digital-pathology-analytic-market-future-trends-segment-cj4ce) | [[Linkedin]] | | 11/19/2024 | [**PreciseDx Announces Formation of Scientific Advisory Board**](https://finance.yahoo.com/news/precisedx-announces-formation-scientific-advisory-130000098.html) | [[Yahoo Finance]] | | 11/7/2024 | [**Q/A: Proscia Co-Founder Talks Impact of DICOM in Digital Pathology - HIT Consultant**](https://hitconsultant.net/2024/11/07/q-a-proscia-co-founder-talks-impact-of-dicom-in-digital-pathology/) | [[HIT Consultant]] | | 10/9/2024 | [**Apollo to Showcase Digital Pathology Enhancements for Connecting Pathology to the Healthcare Enterprise at DPA Pathology Visions 2024**](https://www.prweb.com/releases/apollo-to-showcase-digital-pathology-enhancements-for-connecting-pathology-to-the-healthcare-enterprise-at-dpa-pathology-visions-2024-302271403.html) | [[PRWeb]] | | 9/12/2024 | [**PathPresenter Raises $7.5M to Accelerate Digital Pathology Workflows**](https://hitconsultant.net/2024/09/12/pathpresenter-raises-7-5m-to-accelerate-digital-pathology-workflows/) | [[HIT Consultant]] | | 9/12/2024 | [**Digital Pathology Market to Surpass USD 2067.36 Million by 2031, Witnessing 7.8AGR Growth**](https://finance.yahoo.com/news/digital-pathology-market-surpass-usd-130000404.html) | [[Yahoo Finance]] | | 9/9/2024 | [**Roche advances AI-driven cancer diagnostics by expanding its digital pathology open environment**](https://www.prnewswire.com/news-releases/roche-advances-ai-driven-cancer-diagnostics-by-expanding-its-digital-pathology-open-environment-302241196.html) | [[PR Newswire]] | | 9/8/2024 | [**Roche advances AI-driven cancer diagnostics by expanding its digital pathology open environment**](https://finance.yahoo.com/news/roche-advances-ai-driven-cancer-050000205.html) | [[Yahoo Finance]] | | 8/20/2024 | [**Versant Diagnostics Advances Dermatopathology with Acquisition of Cutaneous Pathology, P.A. Practice**](https://www.globenewswire.com/news-release/2024/08/20/2932958/0/en/Versant-Diagnostics-Advances-Dermatopathology-with-Acquisition-of-Cutaneous-Pathology-P-A-Practice.html) | [[Globe Newswire]] | | 8/13/2024 | [**Digital Pathology Market to Reach $2.19 Billion, Growing at 9.3%**](https://media.market.us/digital-pathology-market-news/) | media.market.us | | 8/9/2024 | [**Scispot Announces Purpose-Built Solution for Modern Pathology Labs**](https://www.prweb.com/releases/scispot-announces-purpose-built-solution-for-modern-pathology-labs-302218539.html) | [[PRWeb]] | | 8/1/2024 | [**Diagnostic Revolution: Navigating the Cutting-Edge Trends in Pathology - MedTech Outlook**](https://www.medicaltechoutlook.com/news/diagnostic-revolution-navigating-the-cuttingedge-trends-in-pathology-nwid-3588.html) | medicaltechoutlook.com | | 7/31/2024 | [**Digital Pathology Market size is set to grow by USD 1.12 billion from 2024-2028, Growing adoption of IoT infrastructure among laboratories boost the market, Technavio**](https://www.prnewswire.com/news-releases/digital-pathology-market-size-is-set-to-grow-by-usd-1-12-billion-from-2024-2028--growing-adoption-of-iot-infrastructure-among-laboratories-boost-the-market-technavio-302209857.html) | [[PR Newswire]] | | 7/24/2024 | [**Pathology in the era of generative AI**](https://www.thelancet.com/journals/landig/article/PIIS2589-7500(24)00157-2/fulltext) | [[The Lancet]] | | 7/2/2024 | [**Digital Pathology Scanner Market Size to Grow USD 1,137 Million by 2030 at a CAGR of 10.31% - Valuates Reports**](https://www.prnewswire.com/news-releases/digital-pathology-scanner-market-size-to-grow-usd-1-137-million-by-2030-at-a-cagr-of-10-31--valuates-reports-302188071.html) | [[PR Newswire]] | | 6/28/2024 | [**Digital Pathology Market is Expected to Grow Rapidly and Reach USD 24,961.8 Million by ...**](https://www.whatech.com/og/markets-research/medical/849543-digital-pathology-market-is-expected-to-grow-rapidly-and-reach-usd-24-961-8-million-by-2033-with-a-13-5-cagr) | whatech.com | | 6/18/2024 | [**Roche receives FDA clearance on its digital pathology solution for diagnostic use**](https://www.prnewswire.com/news-releases/roche-receives-fda-clearance-on-its-digital-pathology-solution-for-diagnostic-use-302174821.html) | [[PR Newswire]] | ## Topic Overview (Some LLM-derived content — please confirm with above primary sources) ### Key Players - **PathAI**: Specializes in pathology AI, improving diagnostic accuracy and collaborating with pharmaceutical companies to optimize clinical trials. - **Weill Cornell Medicine**: An academic institution involved in creating AI tools for enhancing digital pathology. - **Mindpeak**: An AI technology provider focusing on pathology applications. - **Dana-Farber Cancer Institute**: A research institute developing AI tools for digital pathology to improve disease diagnosis. - **Qritive**: A company providing AI solutions for pathology diagnostics. - **Microsoft**: A technology company collaborating with various institutions to enhance AI applications in pathology, including cancer diagnostics. - **Aignostics**: An AI company focused on multi-modal pathology data, recently raised funds to support new product offerings and collaborations. - **Aiosyn**: Innovator in AI-powered pathology software, recently received CE marking for its mitotic figure counting algorithm for breast cancer diagnostics. - **Stratipath**: A company focused on AI-driven pathology solutions. - **Scispot**: Introduced a GenAI-powered Pathology LIMS solution to enhance sample processing speed in pathology labs. - **Gestalt**: A leader in AI-driven digital pathology solutions, focusing on improving healthcare accessibility in underserved regions. - **Lunit**: A company specializing in AI-driven solutions for pathology. - **Deep Bio**: A collaborator providing AI algorithms focused on cancer detection and analysis. - **NVIDIA**: A technology company collaborating with Mayo Clinic to enhance digital pathology and precision medicine using advanced AI platforms. - **Nucleai**: A company that utilizes AI technology to analyze whole slide images and create spatial maps for predicting therapeutic outcomes. - **Bioptimus**: A startup that launched H-optimus-0, the world's largest open-source AI foundation model for pathology. - **Providence Health Network**: A healthcare provider collaborating on AI initiatives to enhance cancer diagnostics. - **Proscia**: Partnering with Fimlab to enhance digital pathology capabilities using AI. ### Partnerships and Collaborations - **Siriraj Piyamaharajkarun Hospital and IBM**: Collaboration to enhance the Pathology Information System with AI for improved cancer diagnosis. - **Aignostics and Mayo Clinic**: Collaborated to develop a new pathology foundation model, achieving high performance in image analysis. - **PathAI and Deep Bio**: Collaboration to improve prostate cancer diagnostics through AI-driven insights and advanced image management. - **BioAI and Genomic Testing Cooperative**: Working together to enhance biomarker discovery and diagnostics using multimodal AI. - **Fimlab and Proscia**: Enhancing digital pathology capabilities through AI-enabled solutions. - **NVIDIA and Mayo Clinic**: Partnered to enhance digital pathology and precision medicine through advanced AI tools. - **Microsoft and Paige**: Developing an AI-powered cancer pathology tool named Virchow for improved cancer diagnostics. - **Gestalt and DataPathology**: Partnership to enhance healthcare accessibility in North Africa by integrating AI-driven solutions. - **WellAve Dermatology and AnnaPath**: Launching in-house pathology services for quicker diagnostic results. - **Owkin and Providence Health**: Collaboration to automate the labeling of pathology images, enhancing data quality and usability for real-world evidence generation. - **Microsoft, University of Washington, Providence Health Network**: Collaborating to enhance AI in cancer diagnostics through advanced machine learning models. - **JelloX and Mayo Clinic**: Working together to validate 3D digital imaging and AI analysis technology for cancer diagnosis. - **Roche and Collaborators**: Roche has integrated AI algorithms from eight collaborators to enhance cancer diagnostics. - **Biogen, Beckman Coulter, Fujirebio**: Collaborating to identify and develop blood-based biomarkers for tau pathology in Alzheimer's disease. - **Instem and Pathcore**: Partnering to integrate digital pathology software for improved image management. - **Lunit and Roche**: Integrating Lunit's AI-powered biomarker into Roche's navify Digital Pathology platform. - **Central Maine Healthcare and Spectrum Healthcare Partners**: Collaborating to implement AI-enabled scanners for improved diagnostic efficiency. - **Veravas and Phanes Biotech**: Co-developing a blood-based assay for Alzheimer's disease detection. - **Indica Labs and University of Bern**: Implemented HALO AP, marking Switzerland's first cloud-based digital pathology deployment. ### Innovations, Trends, and Initiatives - **AI in Pathology**: The integration of AI aims to automate repetitive tasks, enhance diagnostic accuracy, and improve workflow efficiency in pathology. - **AI in Digital Pathology**: AI is being integrated into digital pathology to alleviate stress and burnout among pathologists, improve diagnostic accuracy, and reduce waiting times for tests. - **AI Integration in Pathology**: The use of AI algorithms, particularly convolutional neural networks (CNNs), is enhancing diagnostic accuracy and efficiency. - **Prov-GigaPath**: An AI model developed to improve cancer diagnosis accuracy using a dataset of 1.3 billion pathology images. - **H-optimus-0**: The world's largest open-source AI foundation model for pathology, enhancing diagnostic tasks. - **Aignostics' Pathology Foundation Model**: Sets a new industry standard for performance using diverse slide images and integrates expert medical knowledge. - **PathChat**: A multimodal generative AI tool that improves diagnostic accuracy across various tissue origins. - **GenAI-powered Pathology LIMS**: Scispot's solution to significantly increase sample processing speed in pathology labs. - **Virchow**: An advanced AI tool for cancer pathology that excels in modeling diverse patterns in pathology images. - **Digital Pathology Assistant Toolkit**: Aims to simplify the processing and analysis of pathology imaging data. - **AI in Drug Discovery**: Pharmaceutical companies are increasingly relying on AI tools for drug discovery and development. - **Philips IntelliSite Pathology**: A leading digital pathology solution that has received FDA clearance for primary diagnosis. - **Deciphex's AI Platforms**: Diagnexia and Patholytix enhance pathologist efficiency by enabling faster workflows while maintaining diagnostic accuracy. - **Funding for AI Solutions**: Deciphex raised $32.3 million to enhance AI-powered platforms, addressing the global pathology crisis and improving diagnostic workflows. - **Digital Pathology Solutions**: Utilization of digital imaging and analysis tools to enhance traditional pathology workflows, improving remote consultations and data management. - **AI-driven Risk Assessment**: PreciseDx's AI-guided test for breast cancer recurrence risk, providing rapid results and aiming to optimize clinical practices. - **Concentriq AP**: Proscia's updated platform featuring multi-AI workflows for enhanced diagnostic capabilities. - **NYU Langone's Digital Pathology Program**: Transitioning to high-definition imaging for real-time sharing and improved diagnostics. - **PathologyMap 2.0**: A digital slide management solution by HistoWiz that enhances data viewing and sharing. - **HALO AP Platform**: Chosen by the Medical University of Graz to enhance primary diagnostics with AI-enabled workflows. ### Challenges and Concerns - **AI Chatbots in Pathology**: While AI chatbots like Google's Bard and OpenAI's GPT-4 can interpret pathology reports accurately, they still require clinician review to avoid potential misunderstandings. - **Regulatory Hurdles**: Regulatory challenges may impede the adoption of AI technologies in pathology. - **Health Inequities**: Concerns regarding access to AI-driven pathology solutions in low-income countries. - **Data Privacy**: Concerns regarding data privacy and security in the integration of AI and digital pathology solutions. - **Integration Challenges**: The rapid evolution of digital pathology poses unique challenges for integrating AI tools effectively in clinical settings. - **Model Interpretability**: The need for AI models in pathology to be interpretable to ensure trust and usability. - **Regulatory Compliance**: The integration of AI in pathology must navigate complex regulatory environments to ensure patient safety and data security. - **AI Hallucinations**: Concerns regarding AI models generating inaccurate information, necessitating caution in their use for patient communication. - **Barriers to Adoption**: Insufficient IT resources, high costs, and lack of funding hinder the adoption of digital pathology and AI solutions in healthcare. - **Workforce Shortages**: Pathology faces a shortage of pathologists, leading to increased demand for efficient digital solutions. - **Privacy and Safety Concerns**: Issues related to the security of digital databases in the digital pathology market. - **Public Misconceptions**: Misunderstandings about the role of pathologists can lead to undervaluation of the discipline and workforce challenges. - **Dataset Biases**: Addressing biases in datasets to ensure equitable AI performance across diverse populations. - **Implementation Costs**: High costs associated with implementing digital pathology solutions can be a barrier to widespread adoption. - **Burnout and Stress**: 55% of pathologists and oncologists report stress and burnout due to increasing workloads, impacting patient care. - **Data Privacy Issues**: The integration of digital technologies raises concerns regarding data privacy and the security of sensitive patient information. ## Related Topics [[AI in Digital Pathology]]; [[AI in Medicine]]; [[AI in Cardiology]]; [[AI in Medical Diagnostics]]; [[AI in Cancer Diagnostics]]; [[AI in Neurology]]; [[AI in Oncology]]; [[AI in Radiology]]; [[AI in Diagnostics]]