The Mendelian Phenotype Search Engine (MPSE), a clinical decision support tool using Natural Language Processing and Machine Learning, helped neonatologists expedite decisions to whole genome sequencing (WGS) to diagnose patients in the neonatal intensive…
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Rare diseases, affecting ~350 million people worldwide, pose significant challenges in clinical diagnosis due to the lack of experienced physicians and the complexity of differentiating between numerous rare diseases. To address these challenges, we…
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Creating an ontology is the essential step in natural language processing (NLP). To improve patient safety in this era of generative AI, it is crucial to develop a standards-driven, ontology-based architecture for patient safety…
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What You Should Know:
– Veradigm (OTCMKTS: MDRX), a leading provider of healthcare data and technology solutions, announced a significant expansion of its Veradigm Network EHR (VNEHR) Data with the integration of social determinants of…
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The European Union (EU) Medical Device Regulation and In Vitro Medical Device Regulation have introduced more rigorous regulatory requirements for medical devices, including new rules for post-market surveillance. However, EU market vigilance is limited…
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We used natural language processing (NLP) in convergent mixed methods to evaluate young adults’ experiences with Call it a Night (CIAN), a digital personalized feedback and coaching sleep-alcohol intervention. Young adults with heavy drinking…
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What You Should Know:
– Thoughtful AI, an innovator in AI-powered revenue cycle transformation, has announced the launch of its comprehensive team of specialized AI Agents for revenue cycle management (RCM).
– By optimizing back-office operations…
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DigitalOwl, a company that uses natural language processing to help analyze and summarize EHRs, announced it is collaborating with ExamOne, a Quest Diagnostics company, to improve efficiency of record retrieval and analysis through DigitalOwl’s…
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This study demonstrates that adverse events (AEs) extracted using natural language processing (NLP) from clinical texts reflect the known frequencies of AEs associated with anticancer drugs. Using data from 44,502 cancer patients at a…
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Manual decisions regarding the timing of surveillance endoscopy for premalignant Barrett’s oesophagus (BO) is error-prone. This leads to inefficient resource usage and safety risks. To automate decision-making, we fine-tuned Bidirectional Encoder Representations from Transformers…
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