Artificial Intelligence
Healthcare Boasts New AI Models & Tools But Health Pros Are Not Happy
Updated on Fri, Mar 21, 2025
Share
NVIDIA’s GTC 2025 (held from March 17 to 21) showcased the company’s latest innovation in the world of artificial intelligence (AI), as well as its upcoming projects and plans.
Among the various new products, services, and new partnerships announced and on display, sat the agreement between NVIDIA and GE HealthCare. This deal will see the two companies collaborate to fast-track the development of autonomous imaging systems and robotics using the NVIDIA Isaac for Healthcare medical device simulation platform.
The platform comes with pre-trained models and physics-based simulations of sensors, anatomy, and environments, allowing GE HealthCare to train, test, and validate autonomous imaging systems.
The goal will consist of advancing innovation in autonomous imaging, focused on developing autonomous X-ray technologies and ultrasound applications.
“The healthcare industry is one of the most important applications of AI, as the demand for healthcare services far exceeds the supply,” said Kimberly Powell, VP of healthcare at NVIDIA. “We are working with an industry leader, GE HealthCare, to deliver Isaac for Healthcare, three computers to give lifesaving medical devices the ability to act autonomously and extend access to healthcare globally.”
This partnership builds on nearly two decades of collaboration between NVIDIA and GE HealthCare that focused on building innovative image-reconstruction techniques across CT and MRI, image-guided therapy, and mammography.
AI in healthcare is seeing massive strides.
Recently, Microsoft unveiled its Dragon Copilot—the healthcare industry’s first unified voice AI assistant—to streamline a wide range of clinician processes and help clinicians save time and achieve more.
This extended to global IT services provider Kyndryl, which revealed (on the same day) that it was collaborating with Microsoft to support the adoption and deployment of Microsoft Dragon Copilot, a move built on its previous partnerships. This also follows a wide range of moves Kyndryl has made in the healthcare sector, especially with AI.
“Healthcare has been a big investment area for us and an area where we've had success. We said, ‘That's a great place to start.’ We have many hospitals as our clients. We have the companies on the front lines of care, whether doctors or the companies that provide health insurance to end customers,” said Amy Salcido, President of Kyndryl US.
AI in healthcare has shown promise in numerous use cases.
This is evident in the European Medicines Agency’s (EMA) recent decision to accept the use of an AI tool called AIM-NASH in clinical trials to help pathologists analyze liver biopsy scans to identify the severity of MASH (metabolic dysfunction associated steatohepatitis.
MASH is a difficult-to-treat condition where fat builds up in the liver, causing inflammation, irritation, and scarring over time, without significant alcohol use or other reasons for liver injury, and was formerly known as non-alcoholic steatohepatitis NASH).
The AI system uses a machine learning model trained on over 100,000 annotations from 59 pathologists who assessed over 5,000 liver biopsies across nine large clinical trials.
As per the American Liver Foundation, MASH affects around 1.5% to 6.5% of adults in the U.S.
At the highly anticipated Leadership in the Age of AI forum at Northwestern State University (NSU, Louisiana), Dr. Neilank Jha, neurosurgeon, spine specialist, and researcher, says “AI works 120 million times faster than the human brain.” This sentiment was echoed by NSU alumni Monty Chicola, a software developer and entrepreneur, who proclaimed “AI’s capabilities are mind-blowing. AI is not going away.”
On the flip side, Dr. Jha noted that AI still requires human oversight, resulting in an ideal approach of “human/AI decision-making.”
Hospitals too feel this, as they say AI is helping their nurses work more efficiently and can address burnout and understaffing.
However, actual nurses and nursing unions don’t agree with this, who feel AI’s inexperience is overriding their expertise resulting in a degradation of quality patient care. The innovation of AI agents in the healthcare industry has led to hundreds of hospitals adopting them.
This includes Hippocratic AI’s Ana model that automates several time-consuming tasks executed by health professionals, similar to what Microsoft’s Dragon Copilot does.
“Hospitals have been waiting for the moment when they have something that appears to have enough legitimacy to replace nurses,” says Michelle Mahon of National Nurses United. “The entire ecosystem is designed to automate, de-skill, and ultimately replace caregivers.”
Mahon’s group forms the largest nursing union in the U.S. and has organized over 20 demonstrations at hospitals across the country to protect nurses from being silenced by such AI agents, calling for nurses to have a say in how AI can be used and empowering them to disregard them if necessary.
The face-off between employers and employees regarding AI isn’t restricted to the healthcare sector.
According to research conducted by Writer, the enterprise AI startup, AI adoption in the workplace is leading to deeper divisions and power struggles between leaders and workers, resulting in half of executives saying that AI is "tearing their company apart” and massive disparity in how the technology, its problems, and its benefits are perceived.
The study consisted of a survey of 800 employees and 800 C-suite executives.
Where 73% of C-suite executives believe their AI approach is well controlled, only 47% of employees feel the same. 89% of leaders feel their companies have an AI strategy, and 57% of employees are on the same page. When it comes to the company having a high level of literacy, 64% of top brass feel they hit the mark, whereas the number for employees is at 33%.
Do you think AI in healthcare should always be monitored by humans, given its severe and sensitive nature?
Let us know in the comments below!
Among the various new products, services, and new partnerships announced and on display, sat the agreement between NVIDIA and GE HealthCare. This deal will see the two companies collaborate to fast-track the development of autonomous imaging systems and robotics using the NVIDIA Isaac for Healthcare medical device simulation platform.
The platform comes with pre-trained models and physics-based simulations of sensors, anatomy, and environments, allowing GE HealthCare to train, test, and validate autonomous imaging systems.
The goal will consist of advancing innovation in autonomous imaging, focused on developing autonomous X-ray technologies and ultrasound applications.
“The healthcare industry is one of the most important applications of AI, as the demand for healthcare services far exceeds the supply,” said Kimberly Powell, VP of healthcare at NVIDIA. “We are working with an industry leader, GE HealthCare, to deliver Isaac for Healthcare, three computers to give lifesaving medical devices the ability to act autonomously and extend access to healthcare globally.”
This partnership builds on nearly two decades of collaboration between NVIDIA and GE HealthCare that focused on building innovative image-reconstruction techniques across CT and MRI, image-guided therapy, and mammography.
AI in healthcare is seeing massive strides.
Recently, Microsoft unveiled its Dragon Copilot—the healthcare industry’s first unified voice AI assistant—to streamline a wide range of clinician processes and help clinicians save time and achieve more.
This extended to global IT services provider Kyndryl, which revealed (on the same day) that it was collaborating with Microsoft to support the adoption and deployment of Microsoft Dragon Copilot, a move built on its previous partnerships. This also follows a wide range of moves Kyndryl has made in the healthcare sector, especially with AI.
“Healthcare has been a big investment area for us and an area where we've had success. We said, ‘That's a great place to start.’ We have many hospitals as our clients. We have the companies on the front lines of care, whether doctors or the companies that provide health insurance to end customers,” said Amy Salcido, President of Kyndryl US.
AI in healthcare has shown promise in numerous use cases.
This is evident in the European Medicines Agency’s (EMA) recent decision to accept the use of an AI tool called AIM-NASH in clinical trials to help pathologists analyze liver biopsy scans to identify the severity of MASH (metabolic dysfunction associated steatohepatitis.
MASH is a difficult-to-treat condition where fat builds up in the liver, causing inflammation, irritation, and scarring over time, without significant alcohol use or other reasons for liver injury, and was formerly known as non-alcoholic steatohepatitis NASH).
The AI system uses a machine learning model trained on over 100,000 annotations from 59 pathologists who assessed over 5,000 liver biopsies across nine large clinical trials.
As per the American Liver Foundation, MASH affects around 1.5% to 6.5% of adults in the U.S.
At the highly anticipated Leadership in the Age of AI forum at Northwestern State University (NSU, Louisiana), Dr. Neilank Jha, neurosurgeon, spine specialist, and researcher, says “AI works 120 million times faster than the human brain.” This sentiment was echoed by NSU alumni Monty Chicola, a software developer and entrepreneur, who proclaimed “AI’s capabilities are mind-blowing. AI is not going away.”
On the flip side, Dr. Jha noted that AI still requires human oversight, resulting in an ideal approach of “human/AI decision-making.”
Hospitals too feel this, as they say AI is helping their nurses work more efficiently and can address burnout and understaffing.
However, actual nurses and nursing unions don’t agree with this, who feel AI’s inexperience is overriding their expertise resulting in a degradation of quality patient care. The innovation of AI agents in the healthcare industry has led to hundreds of hospitals adopting them.
This includes Hippocratic AI’s Ana model that automates several time-consuming tasks executed by health professionals, similar to what Microsoft’s Dragon Copilot does.
“Hospitals have been waiting for the moment when they have something that appears to have enough legitimacy to replace nurses,” says Michelle Mahon of National Nurses United. “The entire ecosystem is designed to automate, de-skill, and ultimately replace caregivers.”
Mahon’s group forms the largest nursing union in the U.S. and has organized over 20 demonstrations at hospitals across the country to protect nurses from being silenced by such AI agents, calling for nurses to have a say in how AI can be used and empowering them to disregard them if necessary.
The face-off between employers and employees regarding AI isn’t restricted to the healthcare sector.
According to research conducted by Writer, the enterprise AI startup, AI adoption in the workplace is leading to deeper divisions and power struggles between leaders and workers, resulting in half of executives saying that AI is "tearing their company apart” and massive disparity in how the technology, its problems, and its benefits are perceived.
The study consisted of a survey of 800 employees and 800 C-suite executives.
Where 73% of C-suite executives believe their AI approach is well controlled, only 47% of employees feel the same. 89% of leaders feel their companies have an AI strategy, and 57% of employees are on the same page. When it comes to the company having a high level of literacy, 64% of top brass feel they hit the mark, whereas the number for employees is at 33%.
Do you think AI in healthcare should always be monitored by humans, given its severe and sensitive nature?
Let us know in the comments below!
First published on Fri, Mar 21, 2025
Enjoyed what you read? Great news – there’s a lot more to explore!
Dive into our content repository of the latest tech news, a diverse range of articles spanning introductory guides, product reviews, trends and more, along with engaging interviews, up-to-date AI blogs and hilarious tech memes!
Also explore our collection of branded insights via informative white papers, enlightening case studies, in-depth reports, educational videos and exciting events and webinars from leading global brands.
Head to the TechDogs homepage to Know Your World of technology today!
Disclaimer - Reference to any specific product, software or entity does not constitute an endorsement or recommendation by TechDogs nor should any data or content published be relied upon. The views expressed by TechDogs' members and guests are their own and their appearance on our site does not imply an endorsement of them or any entity they represent. Views and opinions expressed by TechDogs' Authors are those of the Authors and do not necessarily reflect the view of TechDogs or any of its officials. While we aim to provide valuable and helpful information, some content on TechDogs' site may not have been thoroughly reviewed for every detail or aspect. We encourage users to verify any information independently where necessary.
Loading comments...
