A selection of recommended content we found interesting, featured in or have authored ourselves.
Non-invasive, image-based genetics AI improves live birth outcomes, even for embryos classified as euploid by PGT-A
International study shows AI can automate embryo classification to support standardization and reporting for IVF clinics
International study shows two AI’s are better than one when assessing embryo quality
U.S. study shows combining two different AI embryo quality assessments can achieve improved IVF outcomes
Independent study shows improved time to pregnancy for IVF patients using augmented intelligence: combining AI and manual embryo grading
Award-winning independent study shows Life Whisperer AI on a single static embryo image has comparable predictability to time-lapse’s AI that uses 7900 images
Presagen publishes in Nature Scientific Reports: novel AI algorithm that can automatically, efficiently and accurately detect errors in medical data
Independent study shows Life Whisperer Genetics AI is effective in non-invasively and instantly predicting euploid (genetically normal) embryos
Independent study shows Life Whisperer Genetics non-invasive AI is predictive of whether an embryo may lead to live birth and miscarriage
U.S. study shows AI outperforms highly variable embryologist grading for predicting pregnancy from embryo images
FUJIFILM Irvine Scientific Webinar at ESHRE: Global Perspectives on Bringing AI to Life in your IVF Workflow
FUJIFILM Irvine Scientific Webinar: Using AI to Gain a Clearer Picture of Embryo Quality
Can analysis of embryo appearance using artificial intelligence provide insight into the sex of your baby, and help prevent male bias in IVF?
Independent study shows Life Whisperer’s AI can predict the viability of embryos that have previously been frozen
Life Whisperer Genetics AI shows robust performance at varying times and stages of embryo development
Presagen awarded best research paper for 2022 by RBMO for its international clinical study on the Life Whisperer Viability AI
ISAR Presentation: Data you never see, Federated Learning for Oocyte Assessment
Presagen Webinar Series: The dilemma making AI globally accessible & affordable
Presagen Webinar Series: Knowledge and masking to address AI bias and performance
Presagen Webinar Series: Connecting data silos using a social network approach to support AI for Women’s Health: Case study in fertility
Presagen Webinar Series: AI Accuracy Supremacy is a race to the bottom for robust and reliable AI in Healthcare
Presagen Webinar Series: Connecting global datasets that you never move or see with Decentralized Federated Artificial Intelligence
Presagen Webinar Series: Using Artificial Intelligence to identify inherent errors in medical data that even experts can’t detect
Nature Scientific Reports publishes novel decentralized federated AI learning algorithm that connects globally distributed data silos containing private and poor-quality data
Nature Scientific Reports publishes novel AI technique that can automatically detect poor-quality medical data and improve healthcare AI and data privacy
Global study shows Artificial Intelligence can reduce time to pregnancy for IVF couples by 12%
New hope for IVF patients as global study published in Human Reproduction shows AI can effectively assess genetic integrity of embryos.
Reforming AI in healthcare; from being elitist, misogynistic and racist. The headline reads awful but is factual. AI in healthcare currently ticks three very unpleasant boxes.
Why the future of AI Healthcare needs Social Networks, underpinned by decentralization, collaboration, and data sharing.
The Social Network For Healthcare: Affordable And Accessible AI For All. - Health Europa
The AI industry is starting to experience increased skepticism and declining enthusiasm due to AI not meeting expectations despite significant investment.
New study shows that Artificial Intelligence can help women find good quality eggs to support IVF and egg freezing
Combined use of two AI algorithms for evaluating embryo quality improves selection of embryos leading to clinical pregnancy
AI study shows the effect of patient age on embryo quality is inherent in embryo appearance
AI assessment of embryo viability correlates with, and performs better than, manual visual assessment
AI that predicts pregnancy outcomes from embryo images in IVF correlates with features of genetic abnormality
Independent multicenter analysis of AI reports objective and faster embryo assessment with Life Whisperer, saving IVF clinics time and cost.
AI analysis of static images of embryos taken immediately prior to transfer may be a more reliable predictor of pregnancy outcome than using time-lapse videos
A natural language processing approach of global survey results on what the embryologist thinks and faces.
Viable Embryos in IVF Do Not Always Lead to a Pregnancy: Identifying Misclassified Medical Images of Embryos Using Artificial Intelligence
AI Reduces Time-to-Pregnancy for IVF Patients, reducing patient cost whilst increasing revenue for IVF clinics
Novel AI algorithm enables scalable and automated assessment of embryo medical images across multiple camera systems
State of the ART for AI - Embryo Assessment in IVF. Presentation to I3 International IVF Initiative, a global educational program for embryologists.
Frost & Sullivan names Life Whisperer as a Key Company to Watch as part of the Competitive Landscape. This report focuses on the US market and contains in-depth knowledge and insights.
Study is based on the technical analysis of the Life Whisperer AI application and its ability to predict Day 5 blastocyst viability.
AI is impacting fertility rates, business models and relationships between clinics and their patients.
Oxford’s ‘Human Reproduction’ Journal presents results of AI on embryo selection.
Dr Michelle Perugini on Talking HealthTech