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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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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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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Biopharmaceutical leaders Pfizer mapped out an exciting journey in AI and gene therapy in the Middle East, Russia and Africa (MERA), as its regional headquarters in Dubai marked their 175th anniversary on Tuesday.
Patrick van…
Excessive clinical documentation is a widespread problem that is causing clinician burnout and even having an impact on patient care – as shown most recently by an American Medical Informatics Association survey that showed…
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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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Determining acute ischemic stroke (AIS) etiology is fundamental to secondary stroke prevention efforts but can be diagnostically challenging. We trained and validated an automated classification tool, StrokeClassifier, using electronic health record (EHR) text from…
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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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As the healthcare industry battles clinician fatigue and budget shortages, the emergence of generative artificial intelligence technology could have a considerable impact on optimizing workflows and enhancing productivity.
In an industry characterized by intricate patient…
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Existing natural language processing (NLP) methods to convert free-text clinical notes into structured data often require problem-specific annotations and model training. This study aims to evaluate ChatGPT’s capacity to extract information from free-text medical…
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