Disclaimer: EMA by AIVF has CE mark. In the US, an AI component of EMA is considered an investigational device. Limited by Federal (or United States) law to investigational use.
Use Data to Strengthen Care: The power of advanced analytics in the IVF clinic and lab
A data-driven approach is essential to the management of IVF clinics and laboratories. Analytical power is at the core of…
Blog
13.08.2023
A Digital Transition Led by AI – An Embryologist’s Point of View
Maintaining compliance within IVF labs is a complex endeavor that often feels like it requires an entire team’s effort. But…
Clinical Data
09.08.2023
White paper: The bias is out of the bag
This study emphasizes the inherent human error that exists inside IVF clinics.
Clinical Data
03.08.2023
Peer review published in Advanced Science
Unlabeled Information of Embryo Siblings from the Same Cohort Cycle to Enhance In Vitro Fertilization Implantation Prediction
Clinical Data
24.07.2023
Personalized pregnancy odds estimation can be obtained using AI embryo evaluation and individual patient characteristics
There is strong interest in the application of artificial intelligence (AI) in IVF. In fact, over 52 AI approaches were…
Article
24.07.2023
AI objective insights
Embryo grading is a tool that helps the team determine which embryo to transfer, freeze or discard during a patient’s…
Article
24.07.2023
A case study – How can we improve the IVF clinic’s KPIs?
This article discusses the reasons behind First IVF, Ireland’s implementation of technologies such as artificial intelligence and its digital transformation.
Article
23.07.2023
Enhancing IVF success with AI
In this article several AI-powered embryo selection users share their experiences with AI technology that enables better patient care …
Clinical Data
23.07.2023
AIVF’s clinical foundation
The following research using the company’s advanced artificial intelligence technology has been presented at leading international conferences.
Blog
10.07.2023
ASRM Today discusses the latest breakthroughs in AI and reproductive medicine
In the USA, the Food and Drug Administration plans to regulate artificial intelligence and machine learning software systems as medical…
Blog
22.05.2023
Towards the next generation of IVF
Introducing EMA 4.0! AIVF introduces new features to help you improve efficiencies in your lab and clinic and provide personalized, optimized…
Blog
12.02.2023
A Great Grey Rhino in the Room: The Human Capital Conundrum in ART
In the USA, the IVF industry is experiencing a pressing problem. An estimated 5% of the existing embryology workforce is…
Clinical Data
05.02.2023
IVF Academy USA
Meeting the demands of the growing IVF Industry: development of a hybrid education and training program to address the workforce…
Blog
12.01.2023
The new IVF frontier.
The new IVF frontier. Augmented. Automated. Intelligent. Despite the high cost of IVF in the US, success rates remain stagnant…
Clinical Data
10.01.2023
Hype or reality?
Is artificial intelligence (AI) solving the real problem in the IVF labratory? Fertility 2023 Poster-Hype or reality. Is artificial intelligence…
Clinical Data
10.01.2023
An efficiency case study
Can EMA, an end-to-end artificial intelligence (AI)-powered platform for fertility clinics, aid in the efficiency of conventional embryo evaluation? An…
Blog
19.12.2022
The Holiday Season and Your Fertility Journey
You know that this year isn’t going to be any different. Family dynamics are strong despite our age, experiences, marriages,…
Blog
01.12.2022
Meet the new member of the IVF patient care team
Data scientists are the newest members of a digitally-enabled IVF Patient Care Team. The need for IVF continues to grow…
Blog
03.11.2022
Prevent errors in the IVF lab with these 4 tips
Preventing errors in the IVF Lab is the top priority of every embryologist. But how do they happen, and what…
Blog
30.10.2022
Three things I learned while going through IVF…and wish that others knew…
I’ve blogged about my IVF story in the past, all during various stages of my fertility journey. While IVF will never fully…
Blog
30.08.2022
Current AI Trends in Healthcare
The history of AI in healthcare dates back to 1966, when Joseph Weizenbaum, a professor emeritus of computer science, developed ELIZA —…
Blog
25.07.2022
A celebration of embryology.
July 25th is a day to be celebrated. It marks the birth of Louise Joy Brown, the first IVF baby,…
Clinical Data
03.07.2022
Algorithmic analysis of morphokinetic features for aneuploidy embryos
An artificial intelligence (AI) deselection model for top-quality blastocysts: Algorithmic analysis of morphokinetic features for aneuploidy may increase implantation rates.
Blog
24.03.2022
My IVF Journey to Motherhood.
Not a week goes by that I don’t think back to the person I was four years ago, when I first…
Blog
01.02.2022
Partnering to bring leading-edge AI technology to the IVF lab
What comes to mind when you hear the word partner? Possibly your significant other, your lawyer or a vendor you…
Blog
01.02.2022
5 Technologies Transforming Embryology
As an embryologist, these are the top five technologies that have transformed my professional experience in fertility clinics over the…
Clinical Data
17.10.2021
AI for aneuploidy recognition
A clinical study demonstrates that computer vision can be useful in identifying aneuploid blastocysts.
Clinical Data
17.10.2021
Can EMA grade as embryologist?
This work aimed to validate the accuracy of the EMA automated embryo grading system compared to senior embryologists.
Clinical Data
17.10.2021
EMA’s ability to determine the presence of a blastocyst within a culture dish
In this work, the researchers aimed to determine if the EMA artificial neural network (ANN) could accurately and consistently detect…
Clinical Data
17.10.2021
Can blastocyst “pumping” predict implantation failure?
Blastocyst “pumping” is a detrimental feature predicting implantation failure: highly accurate assessment by computer vision analysis of time-lapse videos.
Clinical Data
26.06.2021
Differences among chaotic embryos compared to euploid embryos
In-depth analysis of embryo development: Differences among monosomic, trisomic and chromosomally chaotic embryos compared to euploid embryos.
Clinical Data
26.06.2021
A novel artificial intelligence (AI) approach to measure cell division activity associated with chromosomal status
In this work, the researchers wanted to explore if computer vision can distinguish between euploid and aneuploid embryos. A novel…
Clinical Data
05.07.2020
A fully automated AI-based algorithm for identifying high quality embryos
This study shows that an AI-based system that analyzes the first 24 hours of embryonic development opens, for the first…
Article
24.07.2023
AI objective insights
Embryo grading is a tool that helps the team determine which embryo to transfer, freeze or discard during a patient’s…
Article
24.07.2023
A case study – How can we improve the IVF clinic’s KPIs?
This article discusses the reasons behind First IVF, Ireland’s implementation of technologies such as artificial intelligence and its digital transformation.
Article
23.07.2023
Enhancing IVF success with AI
In this article several AI-powered embryo selection users share their experiences with AI technology that enables better patient care …
Blog
30.08.2023
Use Data to Strengthen Care: The power of advanced analytics in the IVF clinic and lab
A data-driven approach is essential to the management of IVF clinics and laboratories. Analytical power is at the core of…
Blog
13.08.2023
A Digital Transition Led by AI – An Embryologist’s Point of View
Maintaining compliance within IVF labs is a complex endeavor that often feels like it requires an entire team’s effort. But…
Blog
10.07.2023
ASRM Today discusses the latest breakthroughs in AI and reproductive medicine
In the USA, the Food and Drug Administration plans to regulate artificial intelligence and machine learning software systems as medical…
Blog
22.05.2023
Towards the next generation of IVF
Introducing EMA 4.0! AIVF introduces new features to help you improve efficiencies in your lab and clinic and provide personalized, optimized…
Blog
12.02.2023
A Great Grey Rhino in the Room: The Human Capital Conundrum in ART
In the USA, the IVF industry is experiencing a pressing problem. An estimated 5% of the existing embryology workforce is…
Blog
12.01.2023
The new IVF frontier.
The new IVF frontier. Augmented. Automated. Intelligent. Despite the high cost of IVF in the US, success rates remain stagnant…
Blog
19.12.2022
The Holiday Season and Your Fertility Journey
You know that this year isn’t going to be any different. Family dynamics are strong despite our age, experiences, marriages,…
Blog
01.12.2022
Meet the new member of the IVF patient care team
Data scientists are the newest members of a digitally-enabled IVF Patient Care Team. The need for IVF continues to grow…
Blog
03.11.2022
Prevent errors in the IVF lab with these 4 tips
Preventing errors in the IVF Lab is the top priority of every embryologist. But how do they happen, and what…
Blog
30.10.2022
Three things I learned while going through IVF…and wish that others knew…
I’ve blogged about my IVF story in the past, all during various stages of my fertility journey. While IVF will never fully…
Blog
30.08.2022
Current AI Trends in Healthcare
The history of AI in healthcare dates back to 1966, when Joseph Weizenbaum, a professor emeritus of computer science, developed ELIZA —…
Blog
25.07.2022
A celebration of embryology.
July 25th is a day to be celebrated. It marks the birth of Louise Joy Brown, the first IVF baby,…
Blog
24.03.2022
My IVF Journey to Motherhood.
Not a week goes by that I don’t think back to the person I was four years ago, when I first…
Blog
01.02.2022
Partnering to bring leading-edge AI technology to the IVF lab
What comes to mind when you hear the word partner? Possibly your significant other, your lawyer or a vendor you…
Blog
01.02.2022
5 Technologies Transforming Embryology
As an embryologist, these are the top five technologies that have transformed my professional experience in fertility clinics over the…
Clinical Data
09.08.2023
White paper: The bias is out of the bag
This study emphasizes the inherent human error that exists inside IVF clinics.
Clinical Data
03.08.2023
Peer review published in Advanced Science
Unlabeled Information of Embryo Siblings from the Same Cohort Cycle to Enhance In Vitro Fertilization Implantation Prediction
Clinical Data
24.07.2023
Personalized pregnancy odds estimation can be obtained using AI embryo evaluation and individual patient characteristics
There is strong interest in the application of artificial intelligence (AI) in IVF. In fact, over 52 AI approaches were…
Clinical Data
23.07.2023
AIVF’s clinical foundation
The following research using the company’s advanced artificial intelligence technology has been presented at leading international conferences.
Clinical Data
05.02.2023
IVF Academy USA
Meeting the demands of the growing IVF Industry: development of a hybrid education and training program to address the workforce…
Clinical Data
10.01.2023
Hype or reality?
Is artificial intelligence (AI) solving the real problem in the IVF labratory? Fertility 2023 Poster-Hype or reality. Is artificial intelligence…
Clinical Data
10.01.2023
An efficiency case study
Can EMA, an end-to-end artificial intelligence (AI)-powered platform for fertility clinics, aid in the efficiency of conventional embryo evaluation? An…
Clinical Data
03.07.2022
Algorithmic analysis of morphokinetic features for aneuploidy embryos
An artificial intelligence (AI) deselection model for top-quality blastocysts: Algorithmic analysis of morphokinetic features for aneuploidy may increase implantation rates.
Clinical Data
17.10.2021
AI for aneuploidy recognition
A clinical study demonstrates that computer vision can be useful in identifying aneuploid blastocysts.
Clinical Data
17.10.2021
Can EMA grade as embryologist?
This work aimed to validate the accuracy of the EMA automated embryo grading system compared to senior embryologists.
Clinical Data
17.10.2021
EMA’s ability to determine the presence of a blastocyst within a culture dish
In this work, the researchers aimed to determine if the EMA artificial neural network (ANN) could accurately and consistently detect…
Clinical Data
17.10.2021
Can blastocyst “pumping” predict implantation failure?
Blastocyst “pumping” is a detrimental feature predicting implantation failure: highly accurate assessment by computer vision analysis of time-lapse videos.
Clinical Data
26.06.2021
Differences among chaotic embryos compared to euploid embryos
In-depth analysis of embryo development: Differences among monosomic, trisomic and chromosomally chaotic embryos compared to euploid embryos.
Clinical Data
26.06.2021
A novel artificial intelligence (AI) approach to measure cell division activity associated with chromosomal status
In this work, the researchers wanted to explore if computer vision can distinguish between euploid and aneuploid embryos. A novel…
Clinical Data
05.07.2020
A fully automated AI-based algorithm for identifying high quality embryos
This study shows that an AI-based system that analyzes the first 24 hours of embryonic development opens, for the first…