08 Mar 2021
Juvenile-onset recurrent respiratory papillomatosis (JoRRP) is a condition characterized by the repeated growth of benign exophytic papilloma in the respiratory tract. The course of the disease remains unpredictable: some children experience minor symptoms, while others require multiple interventions due to florid growth. Our study aimed to identify histologic severity risk factors in patients with JoRRP. Forty-eight children from two French pediatric centers were included retrospectively.
By Eunice Stennett, David Guet, Hippolyte Heuberger - 02 Mar 2021
Data science is the art of extracting and interpreting relevant information from large amounts of complex data. It has evolved rapidly over the years and is now recognized as a valuable medical image analysis tool. Until recently, the field of computational pathology relied on machine learning (ML) methods. These are highly-supervised algorithms designed to learn human-crafted annotations, and extract and decipher relevant features from their analysis. Keen Eye image-based biomarker analysis, on the other hand, relies on deep-learning (DL) methods. Those semi-supervised or unsupervised algorithms improve feature extraction and interpretability from translational to clinical research.
22 Feb 2021
Deep learning methods are widely used for medical applications to assist medical doctors in their daily routine. While performances reach expert’s level, interpretability (highlighting how and what a trained model learned and why it makes a specific decision) is the next important challenge that deep learning methods need to answer to be fully integrated in the medical field.
By David Guet, Thomas Le Meur - 05 Feb 2021
For years now, digital pathology has seen the emergence of a plethora of heterogeneous different image types designed for clinical research use or routine diagnostics. Among them one can find tissue microarrays, or TMAs, introduced in the 1990s. TMA images differ from standard histopathological samples; instead of having a whole tissue section on a single slide, we find a large number of tissue cores organized on a grid, from different patients and, possibly from different tissue types. On one TMA slide, we can find several hundred samples.
02 Nov 2020
Background. During this collaboration between CILcare and KeenEye Technologies, a full pipeline has been designed to automatically classify and quantify the number of hair cells in 3D cochlea images.
01 Oct 2020
Abstract Background. In recent years, deep learning has been increasingly applied to a vast array of ophthalmological diseases. Inherited retinal diseases (IRD) are rare genetic conditions with a distinctive phenotype on fundus autofluorescence imaging (FAF).
01 Sep 2020
For the past decade, the medical and computer science communities have been working together to develop efficient computer-aided decision tools, using technological advances in both fields, to improve research and diagnosis.
22 Jul 2020
AI Platform for enterprise-wide tissue analysis and secure clinical research. If you are interested in improving your workflow, simplifying image management and analysis, and learning how enterprise-wide deployment delivers secure and traceable results – subscribe to our webinar!
01 Jul 2020
Many pharmaceutical companies develop their AI capabilities to improve operational efficiencies, scientific research, and the clinical trial process. As for medical image analysis, the complexity and heavy investment of time and effort lead them to turn to specialized partners who possess this expertise. Keen Eye holds a prominent position in this field with significant knowledge inAI, deep learning, and evaluation of large sets of histopathological, diagnostic and molecular images.
26 Jun 2020
In this webinar you will gain a deeper understanding of what deep learning is, how it works in reproducing pathologist’s expertise in the biomarker analysis of histopathological samples and why this is technology is the key to unlocking the future for biomarker discovery in drug development.