What You Should Know:
- WellSpan Health, a leading integrated healthcare provider known for its innovation, is partnering with Hippocratic AI, a pioneer in healthcare-focused large language models, to introduce a groundbreaking clinical GenAI healthcare agent.
- The conversational AI-powered service will directly interact with patients, enhancing healthcare access, equity, and outcomes.
Improve Access and Health Screening for Patients
Hippocratic AI's GenAI agent,
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Large Languard Model (LLM)
How GenAI Solves for Challenges in the Healthcare Front Office
While in recent years healthcare has made significant strides toward optimizing the customer experience, the industry is now at an inflection point with the adoption of generative AI (GenAI). With its highly trained and expensive talent and mountains of unstructured data, healthcare is uniquely suited to leverage GenAI to drive productivity and an improved consumer and employee experience. In fact, according to McKinsey, healthcare companies could unlock up to $1 trillion in value by
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Hippocratic AI Secures $17M to Advance Safety-Focused LLMs in Healthcare
What You Should Know:
- Hippocratic AI, a pioneer in developing safety-focused Large Language Models (LLMs) for healthcare, announced today that it has received a significant investment from NVentures, the venture capital arm of NVIDIA.
- The $17M investment, backed also by Greycroft and Leo Shapiro of 7Wire Ventures, adds to Hippocratic AI’s recent Series A round, bringing the total funds raised to an impressive $137M.
Collaboration with NVIDIA
Hippocratic AI's
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Mendel AI’s Hypercube Platform Now Available on Snowflake, Transforming Clinical Data Analysis
What You Should Know:
- Mendel AI, a leader in clinical AI, announced the general availability of its groundbreaking Hypercube Platform natively on the Snowflake AI Data Cloud.
- The integration offers healthcare organizations a powerful tool to transform fragmented data into actionable clinical insights, driving advancements in research, operations, and patient outcomes.
Hypercube Platform: Redefining Clinical Data Analysis
Mendel's Hypercube Platform combines advanced
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Generative AI Shows Promise in Reducing Bias in Opioid Prescriptions
What You Should Know:
- A groundbreaking study from Mass General Brigham researchers has revealed that large language models (LLMs), like ChatGPT-4 and Google's Gemini, exhibit no racial or gender bias when suggesting opioid treatment plans.
- This finding, published in PAIN, suggests that AI has the potential to mitigate provider bias and standardize treatment recommendations in the often-fraught area of pain management.
AI's Role in Addressing Healthcare
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Small Language Models vs. Large Language Models: Which is Better for Healthcare?
Large language models (LLMs) use AI to reply to questions in a conversational manner. Our friend ChatGPT is an LLM. It can reply to an uncapped range of queries because it taps into one billion or more parameters of data. Small language models (SLMs) are their pocket-sized cousins.
An SLM specializes in tasks associated with smaller, more focused datasets. For instance, a hospital could leverage an SLM to enhance clinical documentation. How? By training the SLM on the patient’s
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John Snow Labs Launches API Endpoints for Medical Language Models
What You Should Know:
- John Snow Labs, a leader in AI for healthcare announced the release of API endpoints for its medical language models on AWS SageMaker, Databricks Marketplace, and Snowflake Marketplace. This development simplifies access to advanced healthcare AI capabilities for a wider audience.
- With this new offering, customers can now deploy private API endpoints with just a few clicks, eliminating the need for complex infrastructure management. These endpoints provide
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LLMs Outperforms Clinicians in Predicting Mental Health Crises, Study Reveals
What You Should Know:
- Brightside Health, a telemental health company released research demonstrating the potential of large language models (LLM) in predicting mental health crises.
- The study, published in JMIR Mental Health, compared the performance of OpenAI's GPT-4 to human clinicians in identifying patients at risk of suicide.
Study Background and Key Findings
The research analyzed data from over 460 patients, including those who had reported suicidal ideation
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Large Language Models Fall Short in Medical Accuracy Compared to Medical Professionals, Study Reveals
What You Should Know:
- Kahun, a company specializing in evidence-based clinical AI, has released a new study comparing the medical capabilities of popular large language models (LLMs) to human experts.
- The findings reveal the limitations of current LLMs in providing reliable information for clinical decision-making.
The Study: Comparing LLMs to Medical Professionals
LLMs Tested: OpenAI's GPT-4 and Anthropic's Claude3-OpusEvaluation Method:105,000 evidence-based medical
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AI in Healthcare: Enhancing Data Quality & Reducing Clinician Burden
Healthcare is on the cusp of a transformative era, with artificial intelligence (AI) and large language models (LLMs) demonstrating remarkable potential in streamlining clinical documentation, quality measurement, and medical coding. As these technologies mature, forward-thinking healthcare provider organizations are exploring ways to leverage AI to improve data quality, reduce clinician burden, and ultimately enhance patient care.
AI's Role in Clinical Documentation and Coding
AI, through
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