John Snow Labs

JULY 4, 2023

What are Medical Large Language Models (LLMs)? Have you ever wondered how healthcare providers keep up with the constant influx of medical information? Medical or healthcare large language models (LLMs) are advanced AI-powered systems designed to do precisely that.

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CIO

JULY 26, 2023

One of the biggest issues in healthcare is staffing shortages—and it impacts us all. While healthcare staffing challenges are not new, they are forecasted to reach crisis levels in the coming years. And the World Health Organization (WHO) predicts that, by 2030, there will be a 15 million shortfall in healthcare workers.

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John Snow Labs

JUNE 6, 2023

Hear about the impact of factors such as model size, training data, and fine-tuning strategies on performance and how these models can improve patient outcomes and streamline healthcare operations. The post Healthcare-Specific Large Language Models in Action appeared first on John Snow Labs.

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CIO

JANUARY 22, 2024

Since the introduction of ChatGPT, the healthcare industry has been fascinated by the potential of AI models to generate new content. While the average person might be awed by how AI can create new images or re-imagine voices, healthcare is focused on how large language models can be used in their organizations.

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OTS Solutions

JUNE 3, 2022

The COVID-19 pandemic fundamentally altered healthcare in 2020. Technology has proven important in maintaining the healthcare industry’s resilience in the face of so many obstacles. The healthcare business has embraced numerous technology-based solutions to increase productivity and streamline clinical procedures.

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John Snow Labs

OCTOBER 10, 2023

In this presentation, I’ll demonstrate how the BioGPT generative language model, along with some fine-tuning, can be used for tasks like extracting biomedical relationships, addressing queries, categorizing documents, and creating definitions for biomedical terms.

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Ooda Loop

APRIL 7, 2024

Other industry sectors should keep a close eye on the critical milestones and pitfalls of the biotech/healthcare space - with an eye toward what platform, product, service innovations, and architectures may have a potable value proposition within your industry.

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CIO

JUNE 22, 2023

The new program will connect AWS AI and machine learning (ML) experts with enterprises to help them envision, design, and launch new generative AI products, services, and processes, the company said, adding that these applications can be targeted at industries such as manufacturing, healthcare, and financial services among others.

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AWS Machine Learning - AI

DECEMBER 5, 2023

New and powerful large language models (LLMs) are changing businesses rapidly, improving efficiency and effectiveness for a variety of enterprise use cases. Speed is of the essence, and adoption of LLM technologies can make or break a business’s competitive advantage.

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Dzone - DevOps

JANUARY 5, 2024

Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized the way we approach problem-solving and data analysis. These technologies are powering a wide range of applications, from recommendation systems and autonomous vehicles to healthcare diagnostics and fraud detection.

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John Snow Labs

APRIL 23, 2024

First Generative AI in Healthcare Survey Uncovers Trends, Challenges, and Best Practices in Generative AI among Healthcare and Life Sciences Practitioners We are glad to announce today the findings of the inaugural Generative AI in Healthcare Survey. Requiring models to be tuned specifically for healthcare (4.03

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Mentormate

DECEMBER 12, 2023

In a previous blog post, we introduced a five-phase framework to plan out Artificial Intelligence (AI) and Machine Learning (ML) initiatives. We looked at an exemplary healthcare project with a potential problem of high readmission rates. This comprehensive workflow forms the foundation of traditional ML processes.

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John Snow Labs

AUGUST 31, 2023

Clinical bias in LLM (Language Learning Models) refers to the unfair or unequal representation or treatment based on medical or clinical information. LangTest: Deliver Safe and Effective Language Models The surge in healthcare-specific machine learning models has presented a myriad of opportunities and challenges.

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John Snow Labs

JUNE 27, 2023

Prepare to be amazed as we delve into the world of Large Language Models (LLMs) – the driving force behind NLP’s remarkable progress. In this comprehensive overview, we will explore the definition, significance, and real-world applications of these game-changing models. What are Large Language Models (LLMs)?

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CIO

MARCH 13, 2023

Healthcare & Life Sciences at Kyndryl, says much has changed for healthcare providers over the past three years. Healthcare providers kept the lights on and sprinted to solve problems like suddenly having to serve 50% of your population via telehealth.” Trent Sanders, director of U.S. 2020 was reaction mode,” he says.

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John Snow Labs

DECEMBER 23, 2023

In the era of rapidly evolving Large Language Models (LLMs) and chatbot systems , we highlight the advantages of using LLM systems based on RAG (Retrieval Augmented Generation). They also enable near-real-time data updates without re-tuning the LLM.

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John Snow Labs

DECEMBER 23, 2023

In the era of rapidly evolving Large Language Models (LLMs) and chatbot systems, we highlight the advantages of using LLM systems based on RAG (Retrieval Augmented Generation). They also enable near-real-time data updates without re-tuning the LLM.

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CIO

NOVEMBER 20, 2023

As a technology professional, seeing how artificial intelligence (AI) and generative AI/large language models can improve and save lives makes me think about the significant difference this can have on families and communities worldwide–including mine. Fox says it perfectly: “Family is not an important thing.

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Perficient

SEPTEMBER 8, 2023

Aging Populations and Staff Burnout Combine to Create a Perfect Storm for Healthcare Staffing Shortage For the first time in US history, older adults will outnumber younger individuals. A 2022 survey showed that 47% percent of healthcare providers plan on leaving their roles in the next two to three years (Forbes, 2022).

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TechCrunch

SEPTEMBER 20, 2021

The global pandemic has heightened our understanding and sense of importance of our own health and the fragility of healthcare systems around the world. This is already leading to a massive acceleration in both the investment and application of artificial intelligence in the health and medical ecosystems.

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CIO

FEBRUARY 16, 2024

But things have gotten a little more complicated now, as the large-scale roll-out of generative artificial intelligence (GenAI) has introduced the need for a multidisciplinary approach to innovation. This can be particularly challenging in heavily regulated industries such as healthcare, insurance, and finance.

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CIO

JANUARY 26, 2024

Artificial Intelligence (AI) is a fast-growing and evolving field, and data scientists with AI skills are in high demand. A joint venture with the MIT Schwarzman College of Computing offers three overlapping sub-units in electrical engineering (EE), computer science (CS), and artificial intelligence and decision-making (AI+D).

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CIO

FEBRUARY 20, 2024

This can be seen clearly in the healthcare sector, where practitioners are embracing AI applications as a much-needed boost to productivity. New research from Avanade, a technology company that specialises in the Microsoft platform, has revealed that 56% of healthcare and life-science professionals already use AI daily in their current roles.

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CIO

DECEMBER 11, 2023

healthcare ecosystem has only just begun. Both healthcare payers and providers remain cautious about how to use this latest version of artificial intelligence, and rightfully so. Digital solutions based on generative AI will soon become commonplace in all aspects of healthcare delivery and operations.

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John Snow Labs

SEPTEMBER 5, 2023

Topics Covered Include Large Language Models, Semantic Search, ChatBots, Responsible AI, and the Real-World Projects that Put Them to Work John Snow Labs , the healthcare AI and NLP company and developer of the Spark NLP library, today announced the agenda for its annual NLP Summit, taking place virtually October 3-5.

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Openxcell

MARCH 23, 2023

But with technological progress, machines also evolved their competency to learn from experiences. This buzz about Artificial Intelligence and Machine Learning must have amused an average person. But knowingly or unknowingly, directly or indirectly, we are using Machine Learning in our real lives.

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CIO

APRIL 11, 2024

This technology, leveraging artificial intelligence, offers a self-managing, self-securing, and self-repairing database system that significantly reduces the operational overhead for businesses.” The allure of such a system for enterprises cannot be overstated, Lee says. “We The inherent risk is trust.

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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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Coforge

OCTOBER 9, 2023

Fortunately, with the advent of Artificial Intelligence (AI), the healthcare industry is poised to not only manage this data deluge but also leverage it for improved patient care, research, and operational efficiency. AI has the potential to be one of the most beautiful and transformative developments in the field.

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Daffodil Software

JUNE 8, 2021

Machine Learning (ML) is one of the most versatile technologies of Artificial Intelligence (AI). These days, researchers are coming up with some innovative ways in which machine learning is improving the quality of patient care.

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Newgen Software

NOVEMBER 20, 2023

Artificial intelligence (AI) has made its presence felt across all domains. The latest to jump onto the artificial intelligence (AI) bandwagon is Generative AI (GenAI). For many, GenAI served as their gateway to understanding the expansive and transformative world of artificial intelligence (AI).

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Exadel

OCTOBER 12, 2022

Decades ago, it would have been hard to see how AI and Machine Learning (ML) could have been applied in healthcare. Now, however, healthcare providers are seriously considering ML. Machine Learning can help with: identifying patients at risk by analyzing their test blood samples, DNA, and medical images.

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Invid Group

JUNE 7, 2023

The Ethical Implications of Artificial Intelligence BY: INVID As artificial intelligence (AI) develops, it raises several ethical issues that must be carefully considered. Advancements in Healthcare and Research AI has enormous potential to transform medical research and healthcare.

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CTOvision

APRIL 23, 2019

The milestones achieved by Artificial Intelligence have the world on its toes. Apart from all the industries, it has been touching, the modern healthcare industry has been receiving paramount importance.

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TechCrunch

NOVEMBER 17, 2021

Healthcare costs in the U.S. Payzen , a healthcare fintech startup, raised $15 million in Series A funding for its solution that leverages artificial intelligence to underwrite patients’ medical debt, allowing them to access care and pay for it over time in installments. .

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The Crazy Programmer

FEBRUARY 3, 2024

The healthcare industry has seen rapid technological advancements in recent years, especially when developing innovative custom medical software solutions. Custom healthcare software caters to the unique needs and workflows of a medical practice, hospital, laboratory, or other healthcare organization. Let’s explore it.

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