Medical expert systems

Clinical decision support system

A clinical decision support system (CDSS) is a health information technology, provides clinicians, staff, patients, or other individuals with knowledge and person-specific information, to help health and health care. CDSS encompasses a variety of tools to enhance decision-making in the clinical workflow. These tools include computerized alerts and reminders to care providers and patients, clinical guidelines, condition-specific order sets;´, focused patient data reports and summaries, documentation templates, diagnostic support, and contextually relevant reference information, among other tools. Robert Hayward of the Centre has proposed a working definition for Health Evidence: "Clinical decision support systems link health observations with health knowledge to influence health choices by clinicians for improved health care". CDSSs constitute a major topic in artificial intelligence in medicine. (Wikipedia).

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A hybrid decision making system using image analysis to detect human falls - Pingfan Wang

About the conference: The 1st International ‘Turing’ conference on decision support and recommender systems will bring together junior and experienced researchers, industry professionals and domain experts to discuss latest trends and ongoing challenges in: - Human and AI-driven complex

From playlist 1st International conference on decision support and recommender systems

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Decision making model based on expert evaluations - Cristina Zuheros Montes

About the conference: The 1st International ‘Turing’ conference on decision support and recommender systems will bring together junior and experienced researchers, industry professionals and domain experts to discuss latest trends and ongoing challenges in: - Human and AI-driven complex

From playlist 1st International conference on decision support and recommender systems

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Spotify: Personalising the Listening Experience - Mounia Lalmas

About the conference: The 1st International ‘Turing’ conference on decision support and recommender systems will bring together junior and experienced researchers, industry professionals and domain experts to discuss latest trends and ongoing challenges in: - Human and AI-driven complex

From playlist 1st International conference on decision support and recommender systems

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Better Decisions with Machine Learning - Peter Flach

About the conference: The 1st International ‘Turing’ conference on decision support and recommender systems will bring together junior and experienced researchers, industry professionals and domain experts to discuss latest trends and ongoing challenges in: - Human and AI-driven complex

From playlist 1st International conference on decision support and recommender systems

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Domain Specific Applications

Guest lecture by Sophia Althammer (https://twitter.com/sophiaalthammer) In this lecture we learn how about different task settings, challenges, and solutions in domains other than web search. Slides & transcripts are available at: https://github.com/sebastian-hofstaetter/teaching 📖 Check

From playlist Advanced Information Retrieval 2021 - TU Wien

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Strata 2012: "Knowledge Sharing and Personalized Clinical...", Blackford Middleton

In this talk Dr. Middleton will share his vision of a learning healthcare delivery system enabled by knowledge and data sharing, discovery and feedback, and effective personalized clinical decision support offered to providers and patients. Key lessons learned and examples will be drawn fr

From playlist Strata Rx

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Deep Learning for Relation Extraction from Clinical Documents

Install NLP Libraries https://www.johnsnowlabs.com/install/ Register for Healthcare NLP Summit 2023: https://www.nlpsummit.org/#register Watch all NLP Summit 2022 sessions: https://www.nlpsummit.org/nlp-summit-2022-watch-now/ Presented by Vishakha Sharma, Principal Data Scientist at R

From playlist NLP Summit 2022

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9. Translating Technology Into the Clinic

MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: Peter Szolovits, Adam Wright View the complete course: https://ocw.mit.edu/6-S897S19 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j Prof. Szolovits discusses the hype cycle as w

From playlist MIT 6.S897 Machine Learning for Healthcare, Spring 2019

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Clinical AI Interest Group - December 2022

The Clinical AI Interest group is a community of health professionals from a broad range of backgrounds with an interest in Clinical AI. Our December meeting had the following talks: • Headlines - The Regulation of AI as a Medical Device – Speaker Nick Fuggle • 3-mins About Me -  Elis

From playlist Clinical AI Interest Group

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DjangoCon US 2016 - Django, Python, and Health Care Data by Becca Nock

Django, Python, and Health Care Data by Becca Nock Data and technology can be used to improve the health of older adults and to help them to continue to live at home and in the community as they age. Predictive analytics and modeling can predict who will get sick, be hospitalized, or have

From playlist DjangoCon US 2016

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A Real-time NLP-based Clinical Decision Support Platform for Psychiatry and Oncology

A modern health care system generates a wide range of clinical data formats including structured, unstructured, image, and high-frequency waveform data. The volume of data is also growing quickly, enabling more personalized data-driven clinical interventions. Clinical notes, pathology rep

From playlist NLP Summit 2021

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O'Reilly Webcast: Turning Bigger Data Into Better Healthcare

We now have more health related data than ever, but to actually turn it into better healthcare we need better data technology. Not only must this technology scale to petabytes of clinical genomics data but it must weave together collaborative data management with cybersecurity, on-demand

From playlist O'Reilly Webcasts 3

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Stanford Seminar - Deep Learning for Medical Diagnoses

Pranav Rajpurkar Stanford University April 17, 2019 The use of algorithms in clinical care demands a very high performance level for accurate detection and classification of disease. Deep learning (DL) offers a powerful toolkit necessary to handle the complex variations present in medic

From playlist Stanford EE380-Colloquium on Computer Systems - Seminar Series

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David Atkins, US Department of Veterans Affairs - Stanford Big Data 2015

Bringing together thought leaders in large-scale data analysis and technology to transform the way we diagnose, treat and prevent disease. Visit our website at http://bigdata.stanford.edu/.

From playlist Big Data in Biomedicine Conference 2015

Related pages

Inference engine | Medical algorithm | Systematic review | Meta-analysis | Decision support system | Artificial intelligence | Genetic algorithm | Case-based reasoning | Artificial neural network