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Mashup Score: 9CORAL: expert-Curated medical Oncology Reports to Advance Language model inference v1.0 - 2 month(s) ago
Medical oncology progress notes annotated with advanced, comprehensive oncology-relevant concepts and relationships.
Source: physionet.orgCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 3CHIL 2024: Submit your paper by Friday, 16 February - 3 month(s) ago
The 2024 Conference on Health, Inference, and Learning (CHIL) invites submissions focused on artificial intelligence and machine learning (AI/ML) techniques that address challenges in health, which includes clinical healthcare, public health, health economics, informatics, and more. For full details, refer to the online Call for Papers: https://www.chilconference.org/call-for-papers.html This year, CHIL 2024 will accept submissions for three distinct tracks: Models and Methods, Applications and Practice,
Source: physionet.orgCategories: General Medicine News, Critical CareTweet-
Please consider submitting an abstract to the Conference on Health, Inference and Learning. The deadline is February 16. The conference takes place in NYC on June 27-28, 2024. We hope to see you there! https://t.co/21blWMKj8v
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Mashup Score: 3
Preliminary human expert evaluation study on 60 MIMIC-CXR radiology reports
Source: physionet.orgCategories: Healthcare Professionals, Latest HeadlinesTweet-
Generative AI promises to transform medicine. But we're missing expert human feedback to ensure safety and efficacy. That's why we built ReFiSco - a dataset getting radiologists to edit model outputs. https://t.co/t7sBZsML0y 1/6 https://t.co/zsJw6JHtzn
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Mashup Score: 10Radiology Report Expert Evaluation (ReXVal) Dataset v1.0.0 - 11 month(s) ago
The Radiology Report Expert Evaluation (ReXVal) Dataset is a publicly available dataset of radiologist evaluations of errors in automatically generated radiology reports.
Source: physionet.orgCategories: Healthcare Professionals, Latest HeadlinesTweet-
We just published a new dataset for Radiology AI. 🚀 The Radiology Report Expert Evaluation (ReXVal) Dataset is a publicly available dataset of radiologist evaluations of errors in automatically generated radiology reports. https://t.co/3vvWCVcypW 1/4
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Mashup Score: 0CXR-PRO: MIMIC-CXR with Prior References Omitted v1.0.0 - 1 year(s) ago
CXR-PRO is an adaptation of the MIMIC-CXR dataset (consisting of chest radiographs and their associated free-text radiology reports) with references to non-existent priors removed.
Source: physionet.orgCategories: Healthcare Professionals, Latest HeadlinesTweet-
5. CXR-ReDonE’s unique contribution lies in its novel data preprocessing step: it is trained on CXR-PRO (also called MIMIC-PRO), our adaptation of MIMIC-CXR with Prior References Omitted. We've made our dataset available here for researchers to build w/: https://t.co/IfYO6loYvU
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Mashup Score: 1
RadGraph is a dataset of entities and relations in full-text chest X-ray radiology reports, which are obtained using a novel information extraction (IE) schema to capture clinically relevant information in a radiology report.
Source: physionet.orgCategories: Healthcare Professionals, Latest HeadlinesTweet-
Our dataset with documentation and associated code can be accessed here: https://t.co/KW5l5r3uJW Read more in our paper here: https://t.co/vI6ICDeTYB 10/n
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Mashup Score: 1CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes v1.0.0 - 3 year(s) ago
Clinical action items annotated over MIMIC-III. 718 discharge summaries are labeled at a sentence- and character-level with multiple action labels including Appointment, Lab, Procedure, Medication, Imaging, Patient Instructions, and Other.
Source: physionet.orgCategories: Future of Medicine, Latest HeadlinesTweet-
New dataset & benchmark for clinical NLP and unsupervised learning! With a team of clinicians, we annotated 718 discharge summaries, 100K sentences, for patient instructions, appointments, medications, labs, procedures, & imaging: https://t.co/LayGklpib6 https://t.co/GTHo3qLK06
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Mashup Score: 6
AMR-UTI is a freely accessible dataset, derived from electronic health record (EHR) information on over 100,000 urinary tract infections (UTI) treated at Massachusetts General Hospital and Brigham & Women’s Hospital in Boston, MA, USA.
Source: physionet.orgCategories: Future of Medicine, Latest HeadlinesTweet-
Oh, and we also released all of the data to reproduce our results :-) https://t.co/umGukurbWl
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The deidentified clinical notes dataset is now available on PhysioNet (https://t.co/yLIeqcTcIl), along with 200 additional notes labeled with GPT-4 outputs!