Detecting shortcut learning for fair medical AI using shortcut testing.

Alexander Brown, Nenad Tomasev, Jan Freyberg, Yuan Liu, Alan Karthikesalingam, Jessica Schrouff

July 2023 Nat Commun

Synopsis of Social media discussions

The discussions reflect strong support and interest, with phrases like 'delighted to share' and mentions of validation on radiology and dermatology, emphasizing their importance. The tone is enthusiastic, recognizing the work's potential to advance fair AI in healthcare, demonstrating both engagement and perceived high impact.

A
Agreement
 Moderate agreement

Most discussions express positive acknowledgment of the publication, highlighting its validation and relevance to clinical tasks.

I
Interest
 High level of interest

The posts demonstrate high enthusiasm and curiosity about the article's content and implications.

E
Engagement
 Moderate level of engagement

The participants are actively sharing summaries and emphasizing methodological significance, indicating moderate engagement.

I
Impact
 High level of impact

The excitement about the validation of methods and potential for improving fairness in medical AI suggests a perception of high impact.

Social Mentions

YouTube

1 Videos

Twitter

14 Posts

Blogs

2 Articles

News

2 Articles

Metrics

Video Views

11

Total Likes

46

Extended Reach

26,861

Social Features

19

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

Detecting Shortcut Learning for Fair Medical AI Using Shortcut Testing

Detecting Shortcut Learning for Fair Medical AI Using Shortcut Testing

Machine learning has the potential to enhance healthcare but may also worsen existing health disparities if not managed properly. This video introduces a method to detect shortcut learning, which can cause biased predictions, and discusses its application in medical fields to promote fairness in AI.

STEM RTCL TV

October 25, 2023

11 views

  • Vicki Zhang
    @okvk147 (Twitter)

    RT @weballergy: Happy to share that our paper "Detecting shortcut learning for fair medical AI using shortcut testing" has just been publis…
    view full post

    August 3, 2023

    13

  • Juan Mateos Garcia
    @JMateosGarcia (Twitter)

    RT @weballergy: Happy to share that our paper "Detecting shortcut learning for fair medical AI using shortcut testing" has just been publis…
    view full post

    July 21, 2023

    13

  • ashish (@acgt01@genomic.social)
    @acgt01 (Twitter)

    RT @weballergy: Happy to share that our paper "Detecting shortcut learning for fair medical AI using shortcut testing" has just been publis…
    view full post

    July 20, 2023

    13

  • Andrey Kormilitzin
    @kormilitzin (Twitter)

    RT @weballergy: Happy to share that our paper "Detecting shortcut learning for fair medical AI using shortcut testing" has just been publis…
    view full post

    July 19, 2023

    13

  • Alan Karthikesalingam
    @alan_karthi (Twitter)

    RT @weballergy: Happy to share that our paper "Detecting shortcut learning for fair medical AI using shortcut testing" has just been publis…
    view full post

    July 19, 2023

    13

  • Krishnamurthy (Dj) Dvijotham
    @DjDvij (Twitter)

    RT @weballergy: Happy to share that our paper "Detecting shortcut learning for fair medical AI using shortcut testing" has just been publis…
    view full post

    July 19, 2023

    13

  • Juan
    @jeandut14000 (Twitter)

    RT @weballergy: Happy to share that our paper "Detecting shortcut learning for fair medical AI using shortcut testing" has just been publis…
    view full post

    July 19, 2023

    13

  • Lorenzo Righetto
    @LorenzoRighett7 (Twitter)

    RT @weballergy: Happy to share that our paper "Detecting shortcut learning for fair medical AI using shortcut testing" has just been publis…
    view full post

    July 19, 2023

    13

  • Dr.Arpan Mitra
    @drarpanmitra (Twitter)

    RT @weballergy: Happy to share that our paper "Detecting shortcut learning for fair medical AI using shortcut testing" has just been publis…
    view full post

    July 18, 2023

    13

  • Karim Elgohary
    @KarimElgohary9 (Twitter)

    RT @weballergy: Happy to share that our paper "Detecting shortcut learning for fair medical AI using shortcut testing" has just been publis…
    view full post

    July 18, 2023

    13

  • Jan Freyberg
    @JanFreyberg (Twitter)

    RT @weballergy: Happy to share that our paper "Detecting shortcut learning for fair medical AI using shortcut testing" has just been publis…
    view full post

    July 18, 2023

    13

  • Nenad Tomasev
    @weballergy (Twitter)

    Happy to share that our paper "Detecting shortcut learning for fair medical AI using shortcut testing" has just been published in Nature Communications. We validate our method on clinical ML tasks in radiology and dermatology. https://t.co/0e8ToIvaje
    view full post

    July 18, 2023

    45

    13

  • Paul Lopez
    @lopezunwired (Twitter)

    Detecting shortcut learning for fair medical AI using shortcut testing #MachineLearning #NatureJournal #AI https://t.co/KNuXmaZ8zh
    view full post

    July 18, 2023

    1

  • Reluctant Quant
    @DrMattCrowson (Twitter)

    RT Detecting shortcut learning for fair medical AI using shortcut testing https://t.co/lg1TkBLVPk
    view full post

    July 18, 2023

Abstract Synopsis

  • Machine learning has the potential to enhance healthcare but may also worsen existing health disparities if not managed properly.
  • Identifying unfairness in ML models, such as their varied performance across different population subgroups, is essential for ensuring equity in healthcare solutions.
  • The study introduces a method to detect shortcut learning, which leads to biased predictions, and shows how this approach can be applied in medical fields like radiology and dermatology, ultimately advocating for a comprehensive strategy to address fairness in medical AI.