Browse by Audience
MEMBER

Update Your Profile
Member Spotlights
Refer a Member: IASP Champions
Join a Special Interest Group (SIG)
Find a Chapter
Join Now

RESEARCHER

PAIN
PAIN Reports
Pain Research Forum
Papers of the Week
Webinars and Podcasts
Events

HEALTH CARE PROVIDER

Online Learning - PERC
Webinars & Podcasts
Curricula
Graduate Opportunities
Events

PATIENT & CAREGIVER

RELIEF News
Resources for Living with Pain
Global Alliance of Partners in Pain Advocacy (GAPPA)
Events

PARTNER

Support IASP
Sponsor an Event
Become a Partner

gy2022-1-3
I am a
IASP Logo
Home I AM A Search Login

Papers of the Week

Home / Publications / Pain Research Forum / Papers of the Week / Revisiting prediction of collapse in hip osteonecrosis with artificial intelligence and machine learning: a new approach for quantifying and ranking the contribution and association of factors for collapse.

< BACK TO ARCHIVE


2022 Nov 14


Int Orthop


http://www.ncbi.nlm.nih.gov/pubmed/36374346?dopt=Abstract

Revisiting prediction of collapse in hip osteonecrosis with artificial intelligence and machine learning: a new approach for quantifying and ranking the contribution and association of factors for collapse.

Authors

Revisiting prediction of collapse in hip osteonecrosis with artificial intelligence and machine learning: a new approach for quantifying and ranking the contribution and association of factors for collapse.
Hernigou P
Int Orthop. 2022 Nov 14.
PMID: 36374346.

Abstract

This study proposes machine learning to analyze the risk factors of the collapse in patients with non-traumatic hip osteonecrosis of the femoral head.
Read This Paper