Artificial intelligence is quickly becoming a helpful tool within the digital pathology ecosystem. AI technology can now support pathologists during multiple digital workflow stages, from triage to assisting with menial but essential tasks to providing fast, complex analyses for services like molecular profiling. Patients are receiving faster information with more data than ever, and pathologists can spend more time on what they do best: diagnosing tissue and providing quality patient care.
Interested in integrating AI solutions into your digital workflow? Here are 10 companies in alphabetical order leading the charge in providing artificial intelligence for digital pathology:
1. AIRA Matrix
Based in India and primarily focused on prostate cancer, AIRA Matrix strives to provide artificial intelligence solutions that improve efficiency and diagnostic accuracy in pathology lab workflows. Their diagnostic, prognostic, and predictive tools empower personalized treatment protocols by supporting disease stratification and enabling precise, data-driven decisions for improved patient outcomes.
2. AIxMed
AIxMed uses quantitative and qualitative data from their AI-powered computational cytology platform to enhance cytology insights, improve workflows, and enhance patient care. Their tools are creating a tangible roadmap to transforming cancer diagnosis and monitoring. With AIxMed, pathologists gain critical decision support, leading to improved clinical outcomes and lower healthcare burdens.
3. Artera
Artera’s mission is to enable personalized cancer treatment and shared decision-making between clinicians and patients. They offer AI-enabled predictive and prognostic cancer tests, including The ArteraAI Prostate Test. The test is designed to look at images of the patient’s biopsy and accurately predict how likely a patient will benefit from specific therapies. This is the first test that can predict therapeutic benefit for patients with localized prostate cancer, enabling physicians to make treatment decisions with more confidence.
4. Deepbio
Based in South Korea, Deep Bio aims to drive technological innovation, provide clinicians with the tools to make critical decisions, and advance patient outcomes. Deep Bio is developing and implementing deep learning-based cancer diagnostic support software dedicated to tackling the challenges in pathology and improving diagnostic workflows. Their work unlocks personalized insights for clinicians that empower them to better care for their patients.
5. Mindpeak
Based in Hamburg, Germany, Mindpeak offers pathologists worldwide unique AI solutions for improving their workflow. Their products assist pathologists in providing reliable and reproducible diagnoses, allowing them to focus on tasks where their human expertise is indispensable and reducing the need to perform tedious, repetitive work.
6. Paige AI
Paige’s AI-powered solutions give pathologists a deep understanding of cancer’s molecular and cellular complexities, helping to deliver reliable detection and characterization of disease. Their approach combines advanced AI expertise with insights from world-renowned medical and scientific experts, all while leveraging the largest, most diverse digital pathology dataset available. From tissue analysis to molecular profiling, they’re redefining what’s possible in precision diagnostics.
7. Panakeia
Panakeia offers next-generation multi-omics and biomarker profiling directly from H&E-stained tissue images, making the process significantly faster and cheaper. Their reliable results are ready in minutes, rather than requiring several days of multiple physical tests, and enhance both clinical diagnostics and drug development.
8. Primaa
Founded in 2018, Primaa is a MedTech company offering an AI-based platform for automated and accurate cancer diagnosis. Leveraging image analysis and deep learning, their technology enhances the detection of major cancer biomarkers and guides personalized treatment.
9. Tempus
Tempus works to advance precision medicine through the practical application of AI in healthcare. With one of the world’s largest libraries of multimodal data and an operating system to make that data accessible and useful, Tempus provides AI-enabled precision medicine solutions to physicians to deliver personalized patient care, and, in parallel, facilitates discovery, development, and delivery of optimal therapeutics.
10. Valar Labs
Valar Labs was founded at the intersection of AI and oncology, with a belief that pathology is an untapped modality in cancer care. They envision using AI and the rich information in pathology slides to help physicians and patients make the best possible decisions around cancer treatments.
New developments in AI are continually advancing, helping digital pathology platforms like Lumea and others to provide best-in-class diagnostic services to pathologists, clinicians, and their patients. For more insights on digital pathology news and use cases, sign up for our FREE Digital Diagnostic Digest below:
This list is far from exhaustive, but we hope it can provide a useful starting point for helpful tools to integrate into your practice. Let us know who else should be added to this list. We’ve included a few additional honorable mentions below:
Honorable Mentions
Aiforia
Aiforia equips pathologists and scientists in clinical, pre-clinical, and academic labs with powerful deep learning AI and cloud-based technology. Their solutions strive to increase the speed, accuracy, and consistency of analyzing large and complex medical images, especially in pathology. Aiforia’s mission is to transform pathology image analysis with AI, enabling better care for each patient.
Aignostics
Aignostics is an international, interdisciplinary team focused on powering the next generation of precision medicine and advancing the fields of AI and pathology. They offer a range of rigorously developed products for precision medicine as well as custom services for complex image and data analysis.
DoMore Diagnostics
DoMore Diagnostics was established to meet the need for novel methods in precision medicine to personalize treatment for cancer patients. The project aims to utilize new AI technology in digital pathology to reduce over- and undertreatment in cancer. They are on a mission to bring AI-powered digital biomarkers closer to the clinicians and patients, enabling personalized cancer treatment to improve patient outcomes at lower healthcare costs.
Ibex
Ibex Medical Analytics is currently the most widely deployed artificial intelligence platform in pathology. Developed by pathologists for pathologists, their solutions serve the world’s leading physicians, healthcare organizations, and diagnostic providers. Their mission is to touch patients’ lives worldwide, raise physician confidence, streamline diagnostic workflows, help clinicians provide more personalized diagnoses, and, most importantly, enable better clinical outcomes.
Owkin
Owkin was founded by Thomas Clozel, MD, a clinical research doctor and former assistant professor in clinical onco-hematology, and Gilles Wainrib, PhD, a pioneer in the field of machine learning in biology, in 2016. They use AI to identify new drug candidates, de-risk and accelerate clinical trials, and build diagnostic solutions that improve patient outcomes.
Qritive
Qritive offers a suite of AI-powered modules that support pathologists in identifying, grading, and classifying cancer with precision. The portfolio includes solutions for prostate and colon cancer, lymph node metastasis, and biomarker analysis. Designed to be hardware agnostic, these modules integrate seamlessly into any digital pathology workflow or platform, including Qritive’s Pantheon™.
Sonai Analytics
Sonrai was started in response to a growing need within precision medicine for a platform that could integrate large-scale multi-omic data types and generate significant insights and hypotheses, leading to the discovery of novel therapies and biomarkers. Their guiding light is to improve diagnosis and treatment for patients worldwide.
Stratipath
Stratipath brings together clinicians, researchers, AI scientists, developers, and industry specialists to provide every patient with the proper treatment at the right time. Stratipath’s novel solutions are driven by a rigorous scientific development process based on state-of-the-art machine learning and deep-learning methods. By providing fast, accessible, and cost-effective precision diagnostics, we aim to minimize over- and undertreatment and reduce healthcare costs, benefiting all of society.
