Tämä sivu käännettiin automaattisesti, eikä käännösten tarkkuutta voida taata. Katso englanninkielinen versio lähdetekstiä varten.

AI-Assisted Anaerobic Threshold Interpretation in Cardiopulmonary Exercise Testing (PACE-Reader)

keskiviikko 16. syyskuuta 2026 päivittänyt: Shanghai Zhongshan Hospital

A Randomized Two-Period Crossover Reader Study of Artificial Intelligence-Assisted Anaerobic Threshold Interpretation in Cardiopulmonary Exercise Testing

This prospective randomized two-period crossover reader study will evaluate whether assistance from a frozen artificial intelligence model improves physicians' interpretation of the anaerobic threshold (AT) in cardiopulmonary exercise testing (CPET). Sixteen physicians, including 8 senior and 8 junior readers, will each interpret 150 de-identified CPET examinations once without AI assistance and once with AI assistance. The primary outcome is the within-physician difference in absolute AT localization error between the assisted and unassisted conditions. Secondary outcomes include signed timing error, agreement on whether AT is present, estimates within 15 and 30 seconds of the reference, inter-reader reliability, interpretation time, and whether the effect of AI assistance differs by physician seniority.

Tutkimuksen yleiskatsaus

Yksityiskohtainen kuvaus

The 150 de-identified CPET examinations will be divided into two non-overlapping case libraries, X and Y, with 75 examinations in each library. The libraries will be balanced, as far as feasible, by clinical severity and acquisition characteristics. None of the reader-study examinations will be used for model training, hyperparameter selection, or checkpoint selection.

Within each seniority stratum, physicians will be randomized in a 1:1 ratio to Sequence A or Sequence B. In period 1, Sequence A will interpret library X without AI assistance and library Y with AI assistance; Sequence B will receive the opposite conditions. Following a 14 ± 3 day washout, the assistance conditions will be reversed in period 2. Case order will be randomized within each period, and new blinded task identifiers will be assigned in period 2. Thus, every physician will interpret every examination once without AI assistance and once with AI assistance, yielding 4,800 interpretations.

In the assisted condition, the interface will display the frozen model's predicted AT time. In the unassisted condition, no model output will be shown. Readers will be masked to case source, routine-report and reference-standard labels, other readers' annotations, and their own annotations from the previous period. For each examination, the reader will classify AT as confirmed, not reached, or unable to confirm. When AT is confirmed, the reader will record the AT time and the interpretive method used. Interpretation time will also be recorded.

The reference standard will be prespecified from unassisted senior-physician annotations. AT will be considered present when at least 6 of 8 senior physicians confirm it, and the reference AT time will be the median of the confirming senior estimates. AT will be considered not reached when at least 6 of 8 senior physicians make that classification. Discordant cases will undergo adjudication by an additional senior physician who is masked to model output and reader identity. For analyses of senior readers, a leave-one-reader-out reference will be used.

The primary analysis will compare absolute AT localization error between assisted and unassisted interpretations using a crossed mixed-effects model. Fixed effects will include assistance condition, physician seniority, the assistance-by-seniority interaction, period, randomized sequence, and case library. Random intercepts will be included for physician and examination. Estimates will be reported with 95% confidence intervals. No simulated or pilot-result data will be included in the prospective study analysis.

Opintotyyppi

Interventio

Ilmoittautuminen (Arvioitu)

16

Vaihe

  • Ei sovellettavissa

Yhteystiedot ja paikat

Tässä osiossa on tutkimuksen suorittajien yhteystiedot ja tiedot siitä, missä tämä tutkimus suoritetaan.

Opiskeluyhteys

Opiskelupaikat

    • Shanghai Municipality
      • Shanghai, Shanghai Municipality, Kiina, 200032
        • Zhongshan Hospital, Fudan University
        • Ottaa yhteyttä:

Osallistumiskriteerit

Tutkijat etsivät ihmisiä, jotka sopivat tiettyyn kuvaukseen, jota kutsutaan kelpoisuuskriteereiksi. Joitakin esimerkkejä näistä kriteereistä ovat henkilön yleinen terveydentila tai aiemmat hoidot.

Kelpoisuusvaatimukset

Opintokelpoiset iät

18 vuotta ja vanhemmat (Aikuinen, Vanhempi Aikuinen)

Hyväksyy terveitä vapaaehtoisia

Joo

Sukupuolet, jotka voivat opiskella

Kaikki

Kuvaus

Inclusion Criteria:

  • Age 18 years or older.
  • Licensed physician or physician enrolled in a recognized postgraduate clinical training program at the study institution.
  • Eligible for one of the two prespecified seniority strata: senior physicians are attending physicians or above with at least 5 years of independent CPET interpretation experience; junior physicians are residents or specialty trainees with less than 5 years of independent CPET interpretation experience.
  • Able to interpret CPET examinations and use the study interface after standardized orientation.
  • Willing and able to complete both study periods and the prespecified washout interval.
  • Provides written informed consent.

Exclusion Criteria:

  • Direct involvement in development, training, hyperparameter selection, or checkpoint selection of the PACE-Former model.
  • Prior access to the study case libraries, reference-standard annotations, or model outputs for the study examinations.
  • Unable to complete the required interpretation tasks or the 14 ± 3 day washout interval.
  • Withdrawal of consent before completion of study procedures.

Opintosuunnitelma

Tässä osiossa on tietoja tutkimussuunnitelmasta, mukaan lukien kuinka tutkimus on suunniteltu ja mitä tutkimuksella mitataan.

Miten tutkimus on suunniteltu?

Suunnittelun yksityiskohdat

  • Ensisijainen käyttötarkoitus: Diagnostiikka
  • Jako: Satunnaistettu
  • Inventiomalli: Crossover-tehtävä
  • Naamiointi: Ei mitään (avoin tarra)

Aseet ja interventiot

Osallistujaryhmä / Arm
Interventio / Hoito
Kokeellinen: Sequence A

Period 1: library X interpreted without AI assistance and library Y interpreted with AI assistance. Period 2, after a 14 ± 3 day washout: library X interpreted with AI assistance and library Y interpreted without AI assistance.

A frozen PACE-Former model provides a predicted anaerobic threshold time within the CPET review interface. Physicians retain responsibility for the final classification and AT time annotation. No other model output or reference label is displayed.

The physician reviews the same de-identified CPET data using the study interface without display of any model prediction or AI-generated suggestion and independently classifies AT status and records the AT time when confirmed.

Kokeellinen: Sequence B

Period 1: library X interpreted with AI assistance and library Y interpreted without AI assistance. Period 2, after a 14 ± 3 day washout: library X interpreted without AI assistance and library Y interpreted with AI assistance.

A frozen PACE-Former model provides a predicted anaerobic threshold time within the CPET review interface. Physicians retain responsibility for the final classification and AT time annotation. No other model output or reference label is displayed.

The physician reviews the same de-identified CPET data using the study interface without display of any model prediction or AI-generated suggestion and independently classifies AT status and records the AT time when confirmed.

Mitä tutkimuksessa mitataan?

Ensisijaiset tulostoimenpiteet

Tulosmittaus
Toimenpiteen kuvaus
Aikaikkuna
Difference in Absolute Anaerobic Threshold Localization Error
Aikaikkuna: Recorded immediately after each case interpretation and analyzed after completion of both study periods, up to 2 months

Absolute difference, in seconds, between the physician-selected AT time and the prespecified expert reference AT time. The primary estimand is the within-physician difference between AI-assisted and unassisted interpretations, analyzed across the same examinations using a crossed mixed-effects model.

Recorded immediately after each case interpretation and analyzed after completion of both study periods, up to 2 months

Toissijaiset tulostoimenpiteet

Tulosmittaus
Toimenpiteen kuvaus
Aikaikkuna
Signed Anaerobic Threshold Localization Error
Aikaikkuna: Recorded immediately after each case interpretation and analyzed after completion of both study periods, up to 2 months

Signed difference, in seconds, between the physician-selected AT time and the prespecified expert reference AT time. Negative values indicate earlier placement and positive values indicate later placement relative to the reference.

Recorded immediately after each case interpretation and analyzed after completion of both study periods, up to 2 months
Proportion of Anaerobic Threshold Estimates Within 15 Seconds of the Reference
Aikaikkuna: Recorded immediately after each case interpretation and analyzed after completion of both study periods, up to 2 months

Proportion of interpretable examinations for which the physician-selected AT time is within 15 seconds, in either direction, of the prespecified expert reference AT time.

Recorded immediately after each case interpretation and analyzed after completion of both study periods, up to 2 months
Proportion of Anaerobic Threshold Estimates Within 30 Seconds of the Reference
Aikaikkuna: Recorded immediately after each case interpretation and analyzed after completion of both study periods, up to 2 months

Proportion of interpretable examinations for which the physician-selected AT time is within 30 seconds, in either direction, of the prespecified expert reference AT time.

Recorded immediately after each case interpretation and analyzed after completion of both study periods, up to 2 months
Agreement With the Reference Anaerobic Threshold Status
Aikaikkuna: Recorded immediately after each case interpretation and analyzed after completion of both study periods, up to 2 months

Agreement between the physician classification (AT confirmed, AT not reached, or unable to confirm) and the prespecified expert reference classification. Results will be summarized as overall agreement and condition-specific classification performance.

Recorded immediately after each case interpretation and analyzed after completion of both study periods, up to 2 months
Inter-Reader Reliability
Aikaikkuna: Recorded immediately after each case interpretation and analyzed after completion of both study periods, up to 2 months

Reliability among physicians for AT timing and AT-status classification under AI-assisted and unassisted conditions, summarized using appropriate intraclass correlation and chance-corrected agreement statistics with 95% confidence intervals.

Recorded immediately after each case interpretation and analyzed after completion of both study periods, up to 2 months
Interpretation Time per Examination
Aikaikkuna: Recorded immediately after each case interpretation and analyzed after completion of both study periods, up to 2 months

Elapsed time, in seconds, from opening the blinded CPET task to submission of the physician's AT classification and, when applicable, the selected AT time.

Recorded immediately after each case interpretation and analyzed after completion of both study periods, up to 2 months
Interaction Between AI Assistance and Physician Seniority
Aikaikkuna: Recorded immediately after each case interpretation and analyzed after completion of both study periods, up to 2 months

Difference in the effect of AI assistance between senior and junior physicians, estimated from the prespecified assistance-by-seniority interaction term in the crossed mixed-effects model for absolute AT localization error.

Recorded immediately after each case interpretation and analyzed after completion of both study periods, up to 2 months

Yhteistyökumppanit ja tutkijat

Täältä löydät tähän tutkimukseen osallistuvat ihmiset ja organisaatiot.

Tutkijat

  • Päätutkija: Cong Wang, MD, PhD, Fudan University

Opintojen ennätyspäivät

Nämä päivämäärät seuraavat ClinicalTrials.gov-sivustolle lähetettyjen tutkimustietueiden ja yhteenvetojen edistymistä. National Library of Medicine (NLM) tarkistaa tutkimustiedot ja raportoidut tulokset varmistaakseen, että ne täyttävät tietyt laadunvalvontastandardit, ennen kuin ne julkaistaan ​​julkisella verkkosivustolla.

Opi tärkeimmät päivämäärät

Opiskelun aloitus (Arvioitu)

Perjantai 25. syyskuuta 2026

Ensisijainen valmistuminen (Arvioitu)

Keskiviikko 25. marraskuuta 2026

Opintojen valmistuminen (Arvioitu)

Keskiviikko 25. marraskuuta 2026

Opintoihin ilmoittautumispäivät

Ensimmäinen lähetetty

Keskiviikko 16. syyskuuta 2026

Ensimmäinen toimitettu, joka täytti QC-kriteerit

Keskiviikko 16. syyskuuta 2026

Ensimmäinen Lähetetty (Todellinen)

Tiistai 22. syyskuuta 2026

Tutkimustietojen päivitykset

Viimeisin päivitys julkaistu (Todellinen)

Tiistai 22. syyskuuta 2026

Viimeisin lähetetty päivitys, joka täytti QC-kriteerit

Keskiviikko 16. syyskuuta 2026

Viimeksi vahvistettu

Tiistai 1. syyskuuta 2026

Lisää tietoa

Tähän tutkimukseen liittyvät termit

Yksittäisten osallistujien tietojen suunnitelma (IPD)

Aiotko jakaa yksittäisten osallistujien tietoja (IPD)?

EI

Lääke- ja laitetiedot, tutkimusasiakirjat

Tutkii yhdysvaltalaista FDA sääntelemää lääkevalmistetta

Ei

Tutkii yhdysvaltalaista FDA sääntelemää laitetuotetta

Ei

Nämä tiedot haettiin suoraan verkkosivustolta clinicaltrials.gov ilman muutoksia. Jos sinulla on pyyntöjä muuttaa, poistaa tai päivittää tutkimustietojasi, ota yhteyttä register@clinicaltrials.gov. Heti kun muutos on otettu käyttöön osoitteessa clinicaltrials.gov, se päivitetään automaattisesti myös verkkosivustollemme .

Tilaa