Crunchbase News

FEBRUARY 19, 2025

Funding at the intersection of healthcare and AI has been on a tear this past year. The largest was a $275 million January Series F for Innovaccer , a San Francisco startup that makes an AI-enabled cloud tracking platform for healthcare providers. Even so, investment remains below the heights scaled during the 2021 market peak.

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CIO

JANUARY 27, 2025

In a groundbreaking move, the UAE is set to redefine the healthcare landscape, blending cutting-edge technology with medical innovation. A series of high-impact initiatives, fueled by the collaboration between government entities and private healthcare providers, are ushering in a new era for healthcare in the region.

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CIO

OCTOBER 28, 2024

Another machine learning engineer reported hallucinations in about half of over 100 hours of transcriptions inspected. Despite this, many healthcare providers are already adopting it for transcribing patient consultations. With over 4.2

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TechCrunch

DECEMBER 13, 2023

Google thinks that there’s an opportunity to offload more healthcare tasks to generative AI models — or at least, an opportunity to recruit those models to aid healthcare workers in completing their tasks. Today, the company announced MedLM, a family of models fine-tuned for the medical industries. …

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CIO

JANUARY 30, 2025

Augmented data management with AI/ML Artificial Intelligence and Machine Learning transform traditional data management paradigms by automating labour-intensive processes and enabling smarter decision-making. With machine learning, these processes can be refined over time and anomalies can be predicted before they arise.

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CIO

NOVEMBER 6, 2024

Healthcare providers want to work with companies that provide cutting-edge software and helpful customer service, but just as important, they need to trust that tech vendors will protect sensitive patient data. Personnel no longer have access to sensitive healthcare data unless specifically required for their role and region,” says Johnson.

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The New Stack

JUNE 30, 2025

Evolution and Significance of LLMs in AI LLMs are the latest step in an ongoing evolution in machine learning, deep learning and natural language processing , building on Google’s 2017 introduction of transformer models. In most practical cases, developers work with pre-trained models that are either accessed via API (e.g.,

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CIO

JANUARY 6, 2025

AI and Machine Learning will drive innovation across the government, healthcare, and banking/financial services sectors, strongly focusing on generative AI and ethical regulation. Investments in healthcare technologies will grow, driven by national health strategies and pandemic-driven innovation.

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CIO

SEPTEMBER 18, 2023

Oracle has updated several applications within its various Fusion Cloud suites in order to align them toward supporting use cases for its healthcare enterprise customers. We needed we needed to add capabilities to the existing footprint in order to better serve healthcare firms,” Rachelson said. “We

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TechCrunch

JUNE 22, 2022

Vignesh Chandramouli , a partner at Oak HC/FT, focuses on growth equity and early-stage venture opportunities in healthcare. However, healthcare, a $4.1 Healthcare remains in a constant tug-of-war among patients, payers, providers and pharma. The ongoing COVID-19 pandemic has exposed significant cracks in our healthcare system.

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CIO

NOVEMBER 25, 2024

A tragic childhood accident started his trajectory, changing the course of his life and causing him to develop a fierce passion for improving healthcare. Peoples views IT as an equal team member in providing critical healthcare services, on par with all others in reaching those goals. Peoples comes by his drive naturally.

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CIO

JANUARY 7, 2025

The class was modeled on an already successful in situ medical terminology class designed to help non-clinical staff understand healthcare terminology. In the healthcare world, it was accepted as fact that you had to be able to talk and listen to medical speak.

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AWS Machine Learning - AI

NOVEMBER 26, 2024

Generation : Here are some potential long-term impacts of AI and blockchain on the global financial industry: Automation of routine tasks – AI and machine learning can automate many routine financial tasks like loan processing, fraud detection, client onboarding etc. 15 seconds Under 0.5

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CIO

DECEMBER 31, 2024

Marzoni is in charge of a department with upward of 500 people who work with data analysis and machine learning (ML). To build AI capabilities that can help employees in a certain processes can be as important as a data scientist or a machine learning engineer being the expert and building the solution, he says.AI

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CIO

DECEMBER 20, 2022

However, legacy methods of running Epic on-premises present a significant operational burden for healthcare providers. In this article, discover how HPE GreenLake for EHR can help healthcare organizations simplify and overcome common challenges to achieve a more cost-effective, scalable, and sustainable solution.

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AWS Machine Learning - AI

OCTOBER 17, 2024

With the advent of generative AI and machine learning, new opportunities for enhancement became available for different industries and processes. AWS HealthScribe combines speech recognition and generative AI trained specifically for healthcare documentation to accelerate clinical documentation and enhance the consultation experience.

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CEO Insider

NOVEMBER 15, 2024

To build a successful career in AI vision, aspiring professionals need expertise in programming, machine learning, data analytics, and computer vision algorithms, along with hands-on experience solving real-world problems.

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Perficient

NOVEMBER 1, 2024

Fast forward to today, and AI in healthcare is rapidly transforming how we diagnose, treat, and care for patients. From intelligent algorithms diagnosing diseases faster than the human eye, to virtual health assistants providing round-the-clock support, AI is revolutionizing the healthcare industry.

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CIO

JULY 22, 2024

The intersection of AI, software, and data management is set to revolutionize healthcare and will serve as a critical driver of medical innovation and improved patient outcomes. The pivotal role of AI in healthcare From clinical applications to operational efficiencies, AI is already having a significant impact on the healthcare industry.

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CIO

MAY 23, 2024

In recent years, the healthcare industry has undergone a remarkable transformation propelled by technological advancements, reshaping the landscape of patient care and medical practices. One of the most significant contributions of AI to healthcare lies in its ability to revolutionize diagnostics and disease management.

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AWS Machine Learning - AI

MARCH 18, 2025

In the rapidly evolving healthcare landscape, patients often find themselves navigating a maze of complex medical information, seeking answers to their questions and concerns. This solution can transform the patient education experience, empowering individuals to make informed decisions about their healthcare journey.

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TechCrunch

APRIL 5, 2021

That’s where MLOps (machine learning operations) companies come in, helping clients scale their AI technology. AI models not only take time to build and train, but also to deploy in an organization’s workflow. InfuseAI , a MLOps startup based in Taiwan, announced today it has raised a $4.3

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The Crazy Programmer

DECEMBER 25, 2021

Artificial Intelligence is a science of making intelligent and smarter human-like machines that have sparked a debate on Human Intelligence Vs Artificial Intelligence. There is no doubt that Machine Learning and Deep Learning algorithms are made to make these machines learn on their own and able to make decisions like humans.

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John Snow Labs

JULY 2, 2025

The latest version of TextMatcher in Healthcare NLP introduces powerful linguistic enhancements such as lemmatization, stemming, stopwords removal, and token shuffling. With the latest update to Healthcare NLP, the TextMatcher module introduces a smarter, more linguistically aware text matching engine.

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Healthcare Artificial Inteligence Examples Systems Review 52

TechCrunch

MARCH 16, 2021

One company working to serve that need, Socure — which uses AI and machine learning to verify identities — announced Tuesday that it has raised $100 million in a Series D funding round at a $1.3 billion valuation. Given how much of our lives have shifted online, it’s no surprise that the U.S.

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CIO

DECEMBER 2, 2024

Private and hybrid cloud future Jitender notes that organizations in highly regulated industries like banking, financial services, government, healthcare, and insurance are increasingly adopting private cloud to ensure that they meet or exceed the most stringent data security, data sovereignty, and compliance requirements.

Technology 157

Technology Disaster Recovery Data Center Insurance 157

CIO

APRIL 1, 2025

Job titles like data engineer, machine learning engineer, and AI product manager have supplanted traditional software developers near the top of the heap as companies rush to adopt AI and cybersecurity professionals remain in high demand. Coding assistants are increasing developer productivity levels but not replacing them, he says.

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CIO

SEPTEMBER 23, 2024

The last decade has seen its fair share of volatility in the healthcare industry. That’s especially true in the healthcare sector, where the dazzling future GenAI is trying to usher in is often limited by the shortcomings inside an organization’s legacy infrastructure. The culprit keeping these aspirations in check?

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CIO

NOVEMBER 21, 2024

Although generative AI (genAI) is the new kid on the block, businesses have been using predictive AI for years to improve financial forecasting, detect financial fraud by identifying anomalies, and find the most successful treatments for high-risk patients in healthcare.

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CIO

JANUARY 13, 2025

Generative AI, when combined with predictive modeling and machine learning, can unlock higher-order value creation beyond productivity and efficiency, including accretive revenue and customer engagement, Collins says. CIOs must do a better job preparing and supporting employees, Jandron states.

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TechCrunch

SEPTEMBER 28, 2021

Arize AI is applying machine learning to some of technology’s toughest problems. The company touts itself as “the first ML observability platform to help make machine learning models work in production.” To continue with its mission, the company announced $19 million in Series A funding.

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CIO

APRIL 2, 2025

The spectrum is broad, ranging from process automation using machine learning models to setting up chatbots and performing complex analyses using deep learning methods. Whether healthcare, retail or financial services each industry presents its own challenges that require specific expertise and customized AI solutions.

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CIO

JUNE 12, 2025

Many CSOs and CISOs in healthcare have spent their careers rooted in the industry. With a background shaped by years in Fortune 500 environments, Taylor brings a fresh, unconventional lens to one of the biggest complexities in healthcare today: cybersecurity. Heath Taylor, CISO at the St. I don’t just look for tools that work.

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AWS Machine Learning - AI

DECEMBER 2, 2024

Time series forecasting plays a vital role in guiding key business decisions across industries such as retail, energy, finance, and healthcare. Over the past decade, advancements in deep learning have spurred a shift toward so-called global models such as DeepAR [3] and PatchTST [4]. Chronos: Learning the language of time series.”

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Artificial Inteligence Machine Learning Training Journal 102

TechCrunch

JANUARY 11, 2022

This demand for privacy-preserving solutions and the concomitant rise of machine learning have created significant momentum for synthetic data. These three highly regulated sectors drive most of the demand for synthetic tabular data, alongside healthcare. Synthetic data helps answer these challenges.

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TechCrunch

MAY 20, 2022

Sunny Kumar, MD, MBA is a partner at GSR Ventures, an early-stage venture capital firm focused on healthcare technology with more than $3.5 Sunny Kumar. Contributor. Share on Twitter. billion under management. Blood pressure, body temperature, hemoglobin A1c levels and other biomarkers have been used for decades to track disease.

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