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NEWS
AI is a lot of work

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june 2023
By Josh Dzieza an investigations editor covering tech
NEWS
Gamifying medical data labeling to advance AI
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JUNE 2023
MIT alumnus’ platform taps the wisdom of crowds to label medical data for AI companies
RESEARCH
On-demand EEG education through competition – A novel, app-based approach to learning to identify interictal epileptiform discharges
august 2023
In collaboration with researchers at Massachusetts General Hospital
RESEARCH
Gamified Crowdsourcing as a Novel Approach to Lung Ultrasound Dataset Labeling
june 2023
In collaboration with researchers at Brigham and Women’s Hospital
RESEARCH
Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound
JUNE 2023
In collaboration with researchers at Brigham and Women’s Hospital
RESEARCH
Comparison of pulmonary congestion severity using artificial intellig ence-assisted scoring versus clinical experts: A secondary analysis of BLUSHED-AHF.
june 2023
In collaboration with researchers at Brigham and Women’s Hospital and Indiana University
RESEARCH
Crowd-sourcing delineations of chronic graft-versus-host disease affected skin in patient photographs
MAY 2023
In collaboration with researchers at Vanderbilt University
RESEARCH
Agreement Between Experts and an Untrained Crowd for Identifying Dermoscopic Features Using a Gamified App: Reader Feasibility Study
JANUARY 2023
In collaboration with researchers at Memorial Sloan Kettering Cancer Center
RESEARCH
Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm
NOVEMBER 2022
In collaboration with researchers at MIT and Stanford
RESEARCH
The Viability of an Artificial Intelligence/Machine Learning Prediction Model to Determine Candidates for Knee Arthroplasty
APRIL 2022
In collaboration with researchers at Mount Carmel Health System
RESEARCH
How one block of trials influences the next: persistent effects of disease prevalence and feedback on decisions about images of skin lesions in a large online study
FEBRUARY 2022
In collaboration with researchers at Brigham and Women’s Hospital
Research
Expert-Level Annotation Quality Achieved by Gamified Crowdsourcing for B-line Segmentation in Lung Ultrasound
December 2023
In collaboration with researchers at Brigham and Women’s Hospital
Research
Artificial intelligence for fetal sex determination
February 2023
In collaboration with researchers at Brigham and Women’s Hospital
RESEARCH
Nonexpert Crowds Outperform Expert Individuals in Diagnostic Accuracy on a Skin Lesion Diagnosis Task
june 2023
In collaboration with researchers at Brigham and Women’s Hospital

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