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Unlocking the Potential of Clinical NLP: A Comprehensive Overview

John Snow Labs

Identification of personal and clinical information such as date, doctor, hospital, ID number, medical record, patient name, age, profession, organization, state, city, country, street, username, zip code, phone number in clinical documents. Extracting drugs, chemicals and abbreviations.

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How Natural Language Processing Is Helping Doctors Make Better Diagnoses

John Snow Labs

Healthcare NLP saves the time and effort of physicians, and makes the information of use by: Using specialized engines that scrub large sets of unstructured data and discover improperly coded or previously missed patient conditions. Allowing physicians to extract critical insights rather than wasting time in reviewing complex EHRs.

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Generative AI in Healthcare

John Snow Labs

The journey of Generative AI in healthcare began in the century building upon the progress made in artificial intelligence (AI) and machine learning (ML). John Snow Labs shares insights from deployed software, highlighting what has been learned through real-world application and providing best practices for the healthcare AI community.

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Predictive Maintenance: Employing IIoT and Machine Learning to Prevent Equipment Failures

Altexsoft

Major cons: the need for organizational changes, large investments in hardware, software, expertise, and staff training. Predictive maintenance became possible due to the arrival of Industry 4.0, the fourth industrial revolution driven by automation, machine learning, real-time data, and interconnectivity.

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Anthropic’s Claude improves on ChatGPT, but still suffers from limitations

TechCrunch

We’ve trained language models to be better at responding to adversarial questions, without becoming obtuse and saying very little. This model was used to train Claude. Fed an enormous number of examples of text from the web, Claude learned how likely words are to occur based on patterns such as the semantic context of surrounding text.

ChatGPT 193
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Data's day of reckoning

O'Reilly Media - Data

Data science, machine learning, artificial intelligence, and related technologies are now facing a day of reckoning. Chemists and biologists have had to address the use of their research for chemical and biological weapons. Ethics and security training. It is time for us to take responsibility for our creations.

Data 162
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Digital and ?omputational Pathology: Workflow, Tools, and Limitations to Be Addressed

Altexsoft

Pathology workloads only tend to increase due to the aging population, growing cancer rates, and the development of precision medicine. quiring information from microscope glass slides, along with further management, interpretation, and analysis of this data using software tools. Be careful with staining. Upload additional information.

Tools 52