KLAS’ K2 Collaborative celebrates successful partnerships between payers, providers, and vendors. At KLAS’ fourth annual K2 Collaborative Summit, recipients of the Points of Light Award presented their case studies about successful payer and provider…
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Healthcare providers should actively pursue the integration of generative AI and natural language processing (NLP) tools. However, it is crucial to rigorously validate the performance of each system before its widespread use, advises Dr….
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When ChatGPT demonstrated its ability to respond to plain English questions, it marked a significant milestone in AI development. Yet despite this, and more than 700 FDA-approved AI applications, healthcare adoption remains limited.Dr. Ronald…
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What You Should Know: – Seqera, a provider of scientific data analysis for life sciences and creator of Nextflow, announced the acquisition of Tinybio, a rising tech-bio startup specializing in AI-powered bioinformatics tools. –…
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What You Should Know: – mpathic, the leader in AI-powered actionable conversation analytics specializing in healthcare, life sciences, and client services was recently awarded an NIH SBIR grant to address racial bias in mental…
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Jay Anders, MD, Chief Medical Officer, Medicomp Systems
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,…
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What You Should Know:
– John Snow Labs, a leader in AI for healthcare, has announced a significant breakthrough in medical Large Language Model (LLM) accuracy. Their models have achieved state-of-the-art (SOTA) performance on industry…
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Chat-based counseling hotlines emerged as a promising low-threshold intervention for youth mental health. However, despite the resulting availability of large text corpora, little work has investigated Natural Language Processing (NLP) applications within this setting….
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Language models (LMs) such as BERT and GPT have revolutionized natural language processing (NLP). However, the medical field faces challenges in training LMs due to limited data access and privacy constraints imposed by regulations…
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