87 skills found · Page 2 of 3
AI4HealthUOL / MDS EDRepository for the paper 'Enhancing Clinical Decision Support with Physiological Waveforms — A Multimodal Benchmark in Emergency Care'.
HL7 / CqlClincal Quality Language Specification
WorldHealthOrganization / Smart AncWHO Antenatal Care Guidelines IG
sigven / CacaoCallable Cancer Loci - assessment of sequencing coverage for actionable and pathogenic loci in cancer
Chriszhangmw / Clinical Decision Support SystemClinical decision support system with tensorflow
darwinai / Covidnet UiAI-Powered Clinical Decision Support Platform for COVID-19.
MMansy19 / Cdss Xray AppAI-powered Clinical Decision Support System (CDSS) for chest X-ray analysis, detecting pneumonia (89.9% accuracy) using CNN on Kaggle's Chest X-ray Dataset. Full-stack app with Next.js, Django, TensorFlow. Features drag-and-drop uploads, vitals input, and diagnostic reports.
HL7 / Cqf RecommendationsRepresentation of Clinical Practice Guideline Recommendations in FHIR
AHRQ-CDS / AHRQ CDS Connect PAIN MANAGEMENT SUMMARYThe AHRQ CDS Pain Management Summary tool is part of the CDS Connect project https://cds.ahrq.gov/, sponsored by the Agency for Healthcare Research and Quality (AHRQ), and developed under contract with AHRQ by MITRE's CAMH FFRDC. The CDS Pain Management Summary tool is a SMART on FHIR dashboard for managing pain.
snousias / AvatreeThis paper presents AVATREE, a computational modelling framework that generates Anatomically Valid Airway tree conformations and provides capabilities for simulation of broncho-constriction apparent in obstructive pulmonary conditions. Such conformations are obtained from the personalized 3D geometry generated from computed tomography (CT) data through image segmentation. The patient-specific representation of the bronchial tree structure is extended beyond the visible airway generation depth using a knowledge-based technique built from morphometric studies. Additional functionalities of AVATREE include visualization of spatial probability maps for the airway generations projected on the CT imaging data, and visualization of the airway tree based on local structure properties. Furthermore, the proposed toolbox supports the simulation of broncho-constriction apparent in pulmonary diseases, such as chronic obstructive pulmonary disease (COPD) and asthma. AVATREE is provided as an open-source toolbox in C++ and is supported by a graphical user interface integrating the modelling functionalities. It can be exploited in studies of gas flow, gas mixing, ventilation patterns and particle deposition in the pulmonary system, with the aim to improve clinical decision making.
vkasojhaa / Clinical Decision Support Using Machine LearningPredicting the Stage of Breast Cancer - M (Malignant) and B (Benign) using different Machine learning models and comparing their performance.
oncodash / OncodashClinical oncology tumor board decision support system made by the Decider project.
MLNeurosurg / OpensrhOpenSRH is the first ever publicly available stimulated Raman histology (SRH) dataset and benchmark, which will facilitate the clinical translation of rapid optical imaging and real-time ML-based surgical decision support.
radioxoma / HevalMedical calculator for intensive care unit
uzumstanley / Clinical Support Tool With Decision TreeHealth Sector Analysis
ACRCode / Acr Assist ModulesACR Assist is a clinical decision support framework designed to provide structured clinical guidance to radiologists in a manner that allows this content to be incorporated naturally into the radiology workflow.
wanghaisheng / Clinical Decision Support BookSurvey of the State of the Art in structural clinical knowledge
ccsm-cds-tools / Ccsm Cds With TestsThis repository contains clinical decision support (CDS) which provides recommendations for cervical cancer screening and management (CCSM).
roshetty / Supporting Emergency Room Decision Making With Relevant Scientific Literature# Supporting-Emergency-Room-Decision-Making-with-Relevant-Scientific-Literature #### Supervised by: Yassine Benajiba #### Course: Introduction to Statistical NLP #### School: The George Washington University ## Motivation and Problem Statement Our goal in this assignment was to provide healthcare providers (HCPs) with automated access to articles that can support clinical decision-making and diagnosis. Each patient that enters the ER represents a new combination of history (including environmental factors and health history), presenting symptoms, and potential diagnoses. HCPs are already overloaded and often do not have sufficient time to keep up with the current literature regarding treatments, diseases, and the interactions between them. Our plan is to create a tool which can be used to provide these HCPs with real-time, accurate reports of research relevant to each patient who enters the hospital. By linking the intake records of ER patients to relevant PubMed articles that can provide HCPs with clinical decision support, this project aims to increase the quality of care that patients receive, while making physicians and other healthcare providers feel supported in the challenging processes of diagnosis and treatment. There is currently no readily-available software that will link Electronic Health Records to relevant scientific articles. While there are existing tools which summarize articles and extract keywords, they do not have the capability to combine these with medical terminology to identify clinically relevant information. Our approach will identify actionable keywords in emergency room intake summaries and use these tokens to provide support in clinical decision making by delivering articles that provide information relevant to a patient’s condition.
AHRQ-CDS / AHRQ CDS Connect APIThe AHRQ CDS Connect API (https://cds.ahrq.gov/cds_api) is part of the CDS Connect project, sponsored by the Agency for Healthcare Research and Quality (AHRQ), and developed under contract with AHRQ by MITRE's CAMH FFRDC.
