What You Should Know:
–eClinicalWorks®, the largest ambulatory cloud EHR, today announced that Hendry Regional Medical Center is successfully utilizing Sunoh.ai.
– The AI medical scribe is helping providers complete clinical documentation at the end of each…
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AI-backed imaging and care coordination company Viz.ai is partnering with biotechnology company Regeneron and biopharmaceutical company Sanofi to deploy and study an AI-enabled workflow tool for COPD. Viz.ai offers a care coordination platform with more…
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What You Should Know:
– Recovery.com, the world’s most comprehensive platform for mental health and addiction recovery announced its acquisition of Madison-based artificial intelligence startup RedFox AI.
– The strategic move underscores Recovery.com’s commitment to responsible…
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What You Should Know:
– The American Society of Clinical Oncology (ASCO) and Google Cloud today announced a collaboration to launch an AI-based ASCO Guidelines Assistant.
– Developed using Google Cloud’s Vertex AI platform and advanced…
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What You Should Know:
– Intelerad, a global leader in medical imaging software solutions, today announced a prime partnership with RADPAIR, a leader in generative AI-driven radiology solutions.
– The collaboration is set to deliver an…
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Large language models like ChatGPT are finding their way into healthcare, business, and everyday life. The study of mechanistic interpretability may help us create safer, more trustworthy algorithms by “looking under the hood.”
By Paul…
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What You Should Know:
– Biostate AI, an innovator at the intersection of artificial intelligence and RNA sequencing raises $12M in Series A funding spearheaded by Accel, with participation from Gaingels, Mana Ventures, InfoEdge Ventures,…
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What You Should Know:
– Onvida Health, a provider of integrated care throughout Arizona, and Ambience Healthcare, an AI platform for clinical documentation, Clinical Documentation Integrity (CDI), and coding, today announced the launch of a…
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So many in healthcare today have such high hopes for artificial intelligence to do everything from defeating clinician burnout to advancing medical research. The challenge with AI in healthcare is not excitement, there’s plenty…
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Background: The increasing use of direct-to-consumer artificial intelligence (AI)–enabled mobile health (AI-mHealth) apps presents an opportunity for more effective health management and monitoring and expanded mobile health (mHealth) capabilities. However, AI’s early developmental stage…
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