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AI-Assisted Precision Hyperbaric Oxygen Therapy Based on Dynamic BIS-EEG Feedback for Patients With Disorders of Consciousness (AI-HBOT-DoC)

28 settembre 2026 aggiornato da: Boston Intelligent Medical Research Center, Shenzhen United Scheme Technology Co., Ltd.

A Randomized Controlled Trial of Artificial Intelligence-Assisted Precision Hyperbaric Oxygen Therapy Based on Dynamic BIS-EEG Feedback in Patients With Disorders of Consciousness

Disorders of consciousness (DoC) are severe neurological conditions characterized by impaired awareness and reduced interaction with the environment. Although hyperbaric oxygen therapy (HBOT) may promote neurological recovery, the optimal treatment strategy for individual patients remains unclear.

This study aims to develop and validate an artificial intelligence-assisted precision decision support system for HBOT based on dynamic BIS-EEG brain functional feedback. The system will integrate clinical information, neuroimaging data, physiological parameters, consciousness assessments, and HBOT treatment characteristics.

Continuous BIS-EEG monitoring will be performed during different phases of HBOT, including compression, oxygen exposure, air breaks, decompression, and post-treatment recovery. Artificial intelligence models will analyze these dynamic brain functional responses to predict treatment effectiveness and support personalized HBOT management.

The primary outcome will be improvement in consciousness assessed by the Coma Recovery Scale-Revised (CRS-R). Secondary outcomes include changes in consciousness state, cognitive and functional recovery, and treatment-related adverse events.

Panoramica dello studio

Stato

Non ancora reclutamento

Condizioni

Intervento / Trattamento

Descrizione dettagliata

This prospective randomized controlled clinical study will evaluate whether an artificial intelligence-assisted precision hyperbaric oxygen therapy strategy improves clinical outcomes compared with conventional hyperbaric oxygen therapy in patients with disorders of consciousness.

Patients with disorders of consciousness, including vegetative state/unresponsive wakefulness syndrome and minimally conscious state, will receive standardized hyperbaric oxygen therapy. Multimodal clinical data will be collected, including demographic characteristics, disease etiology, disease duration, baseline consciousness assessment, neuroimaging findings, physiological parameters, BIS-EEG signals, and HBOT treatment parameters.

Dynamic BIS-EEG monitoring will be conducted throughout the entire HBOT session. Brain functional responses will be evaluated during the following phases: pre-treatment baseline, compression, hyperbaric oxygen exposure, air-break interval, repeated oxygen exposure, decompression, and post-treatment recovery.

The artificial intelligence system will integrate multimodal information using machine learning approaches to identify predictive biomarkers of neurological recovery and provide individualized decision support regarding HBOT treatment parameters, including treatment pressure, oxygen exposure duration, air-break strategy, treatment frequency, and treatment course.

The effectiveness of the AI-assisted decision support system will be evaluated by comparing predicted treatment responses with clinical outcomes. Clinical outcomes will include changes in Coma Recovery Scale-Revised (CRS-R) scores, consciousness state transitions, cognitive and functional recovery, and adverse events associated with HBOT.

This study is expected to provide an objective and personalized approach for optimizing HBOT management in patients with disorders of consciousness.

Tipo di studio

Interventistico

Iscrizione (Stimato)

200

Fase

  • Non applicabile

Contatti e Sedi

Questa sezione fornisce i recapiti di coloro che conducono lo studio e informazioni su dove viene condotto lo studio.

Contatto studio

  • Nome: Anmin Hu Shenzhen United Scheme Technology Co., Ltd.
  • Numero di telefono: +86 17318061949
  • Email: anmin@szus.org

Backup dei contatti dello studio

  • Nome: Xiaofeng Chen Shenzhen Baoxing Hospital

Luoghi di studio

  • Cina
    • Guangdong
      • Shenzhen, Guangdong, Cina, 518020
        • Shenzhen Baoxing Hospital
        • Contatto:
          • Xiaofeng Chen Shenzhen Baoxing Hospital
          • Numero di telefono: 0755-28746265
          • Email: us@szus.org

Criteri di partecipazione

I ricercatori cercano persone che corrispondano a una certa descrizione, chiamata criteri di ammissibilità. Alcuni esempi di questi criteri sono le condizioni generali di salute di una persona o trattamenti precedenti.

Criteri di ammissibilità

Età idonea allo studio

Da 18 anni a 80 anni (Adulto, Adulto più anziano)

Accetta volontari sani

No

Sessi ammissibili allo studio

Tutto

Descrizione

Inclusion Criteria:

  1. Adults aged 18 years or older.
  2. Diagnosis of disorders of consciousness, including vegetative state/unresponsive wakefulness syndrome (VS/UWS) or minimally conscious state (MCS).
  3. Disease duration of at least 28 days after the onset of brain injury.
  4. Stable medical condition suitable for hyperbaric oxygen therapy.
  5. Baseline consciousness assessment available using the Coma Recovery Scale-Revised (CRS-R).
  6. Ability to undergo standardized hyperbaric oxygen therapy sessions and complete clinical follow-up.
  7. Written informed consent obtained from the legally authorized representative.

Exclusion Criteria:

  1. Contraindications to hyperbaric oxygen therapy, including untreated pneumothorax or other conditions considered unsafe for HBOT.
  2. Severe cardiovascular, respiratory, or systemic instability.
  3. Uncontrolled epilepsy or frequent seizures affecting assessment.
  4. Severe infection or metabolic disorders that may influence consciousness assessment.
  5. Previous participation in another interventional clinical trial that may affect neurological outcomes.
  6. Incomplete baseline clinical data or inability to complete follow-up assessments.

Piano di studio

Questa sezione fornisce i dettagli del piano di studio, compreso il modo in cui lo studio è progettato e ciò che lo studio sta misurando.

Come è strutturato lo studio?

Dettagli di progettazione

  • Scopo principale: Trattamento
  • Assegnazione: Randomizzato
  • Modello interventistico: Assegnazione parallela
  • Mascheramento: Separare

Armi e interventi

Gruppo di partecipanti / Arm
Intervento / Trattamento
Sperimentale: AI-Assisted Personalized Hyperbaric Oxygen Therapy

Participants will receive artificial intelligence-assisted precision hyperbaric oxygen therapy. The AI decision support system will integrate dynamic BIS-EEG brain functional feedback, clinical characteristics, neuroimaging findings, physiological parameters, and previous treatment responses to provide individualized recommendations for hyperbaric oxygen therapy parameters, including treatment pressure, oxygen exposure duration, air-break strategy, treatment frequency, and treatment course.
Altro: AI-Assisted Personalized Hyperbaric Oxygen Therapy

Participants will receive hyperbaric oxygen therapy optimized by an artificial intelligence-assisted clinical decision support system. The system integrates dynamic BIS-EEG brain functional feedback, clinical characteristics, neuroimaging findings, physiological parameters, and previous treatment responses to provide individualized recommendations for hyperbaric oxygen therapy parameters, including treatment pressure, oxygen exposure duration, air-break strategy, treatment frequency, and treatment course. Final treatment decisions will be made by qualified physicians.
Comparatore attivo: Conventional Hyperbaric Oxygen Therapy

Participants will receive conventional hyperbaric oxygen therapy according to standard clinical protocols determined by treating physicians. Treatment parameters will be selected based on routine clinical practice without artificial intelligence-assisted recommendations.
Altro: Conventional Hyperbaric Oxygen Therapy

Participants will receive conventional hyperbaric oxygen therapy according to standard clinical protocols determined by treating physicians. Treatment parameters will be selected based on routine clinical practice without artificial intelligence-assisted recommendations.

Cosa sta misurando lo studio?

Misure di risultato primarie

Misura del risultato
Misura Descrizione
Lasso di tempo
Change From Baseline in Coma Recovery Scale-Revised (CRS-R) Total Score at Week 12
Lasso di tempo: Baseline and 12 weeks after initiation of hyperbaric oxygen therapy

The Coma Recovery Scale-Revised (CRS-R) will be used to assess the level of consciousness. The CRS-R total score ranges from 0 to 23, with higher scores indicating better neurobehavioral function and a higher level of consciousness. The change in CRS-R total score from baseline to Week 12 will be calculated for each participant and compared between the AI-assisted precision hyperbaric oxygen therapy group and the conventional hyperbaric oxygen therapy group.
Baseline and 12 weeks after initiation of hyperbaric oxygen therapy

Misure di risultato secondarie

Misura del risultato
Misura Descrizione
Lasso di tempo
Change From Baseline in Glasgow Coma Scale (GCS) Total Score at Week 12
Lasso di tempo: Baseline and 12 weeks after initiation of hyperbaric oxygen therapy

The Glasgow Coma Scale (GCS) will be used to assess neurological responsiveness. The total score ranges from 3 to 15, with higher scores indicating better neurological responsiveness. Change from baseline to Week 12 will be compared between the AI-assisted precision hyperbaric oxygen therapy group and the conventional hyperbaric oxygen therapy group.
Baseline and 12 weeks after initiation of hyperbaric oxygen therapy
Number of Participants With Hyperbaric Oxygen Therapy-Related Adverse Events
Lasso di tempo: From the first hyperbaric oxygen therapy session through 7 days after the final treatment session

The number and proportion of participants experiencing adverse events considered related to hyperbaric oxygen therapy will be recorded and compared between groups. Events of interest include middle-ear or sinus barotrauma, oxygen toxicity, seizures, pulmonary symptoms, hemodynamic instability, and other clinically significant treatment-related adverse events.
From the first hyperbaric oxygen therapy session through 7 days after the final treatment session

Altre misure di risultato

Misura del risultato
Misura Descrizione
Lasso di tempo
Discrimination Performance of the AI Model for Predicting Improvement in Consciousness State
Lasso di tempo: Prediction at baseline and during treatment for clinical outcome assessed at Week 12

The predictive performance of the artificial intelligence model will be evaluated for predicting improvement to a higher consciousness state at Week 12. Discrimination will be assessed using the area under the receiver operating characteristic curve (AUROC). An AUROC of 0.5 indicates no discrimination, whereas values closer to 1.0 indicate better discrimination.
Prediction at baseline and during treatment for clinical outcome assessed at Week 12

Collaboratori e investigatori

Qui è dove troverai le persone e le organizzazioni coinvolte in questo studio.

Sponsor

Boston Intelligent Medical Research Center, Shenzhen United Scheme Technology Co., Ltd.

Studiare le date dei record

Queste date tengono traccia dell'avanzamento della registrazione dello studio e dell'invio dei risultati di sintesi a ClinicalTrials.gov. I record degli studi e i risultati riportati vengono esaminati dalla National Library of Medicine (NLM) per assicurarsi che soddisfino specifici standard di controllo della qualità prima di essere pubblicati sul sito Web pubblico.

Studia le date principali

Inizio studio (Stimato)

1 dicembre 2026

Completamento primario (Stimato)

1 giugno 2027

Completamento dello studio (Stimato)

30 settembre 2027

Date di iscrizione allo studio

Primo inviato

28 settembre 2026

Primo inviato che soddisfa i criteri di controllo qualità

28 settembre 2026

Primo Inserito (Effettivo)

2 ottobre 2026

Aggiornamenti dei record di studio

Ultimo aggiornamento pubblicato (Effettivo)

2 ottobre 2026

Ultimo aggiornamento inviato che soddisfa i criteri QC

28 settembre 2026

Ultimo verificato

1 settembre 2026

Maggiori informazioni

Termini relativi a questo studio

Parole chiave

Termini MeSH pertinenti aggiuntivi

Altri numeri di identificazione dello studio

  • WINDO-CT-26001

Piano per i dati dei singoli partecipanti (IPD)

Hai intenzione di condividere i dati dei singoli partecipanti (IPD)?

INDECISO

Informazioni su farmaci e dispositivi, documenti di studio

Studia un prodotto farmaceutico regolamentato dalla FDA degli Stati Uniti

No

Studia un dispositivo regolamentato dalla FDA degli Stati Uniti

No

Queste informazioni sono state recuperate direttamente dal sito web clinicaltrials.gov senza alcuna modifica. In caso di richieste di modifica, rimozione o aggiornamento dei dettagli dello studio, contattare register@clinicaltrials.gov. Non appena verrà implementata una modifica su clinicaltrials.gov, questa verrà aggiornata automaticamente anche sul nostro sito web .

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