PulseAugur
EN
LIVE 17:09:18

AI-powered imaging and saliva tests aim to cut endometriosis diagnosis time

A pilot study from the University of Oxford demonstrated the potential of SPECT-CT imaging to diagnose endometriosis, correctly identifying the condition in 14 out of 17 women who were later confirmed through surgery. This imaging technique could significantly reduce the current 7-10 year diagnostic delay for a condition affecting roughly one in ten women of reproductive age. Additionally, Ziwig Lab has launched a saliva-based test for endometriosis, available in 30 countries, addressing the issue of pain dismissal, as 42% of patients reported their symptoms were initially disregarded. AI

IMPACT AI-driven diagnostic tools could significantly reduce delays in identifying conditions like endometriosis, improving patient outcomes.

RANK_REASON The cluster describes a pilot study using a new diagnostic technique and a new product launch for a medical condition. [lever_c_demoted from research: ic=1 ai=0.4]

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI-powered imaging and saliva tests aim to cut endometriosis diagnosis time

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Endometriosis affects about one in ten women of reproductive age. The average wait from first symptoms to a confirmed diagnosis still runs 7-10 years. An Oxford

    Endometriosis affects about one in ten women of reproductive age. The average wait from first symptoms to a confirmed diagnosis still runs 7-10 years. An Oxford SPECT-CT pilot correctly identified it in 14 of 17 women later confirmed by surgery. Ziwig Lab's saliva-based test is o…