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Research on Automated Assessment and Obstacle Classification of Sublingual Microcirculation Images Based on Deep Learning

Research on Automated Assessment and Obstacle Classification of Sublingual Microcirculation Images Based on Deep Learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600119073
Enrollment
Unknown
Registered
2026-02-14
Start date
2026-02-18
Completion date
Unknown
Last updated
2026-02-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

shock

Interventions

Gold Standard:investigators with expertise in image processing of sublingual microcirculation
Index test:deep learning algorithms

Sponsors

Ruijin Hospital, Shanghai Jiao Tong University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.Age >=18 years; 2.Meet the definition of shock: despite adequate fluid resuscitation, vasopressors are required to maintain MAP = 65 mmHg, and serum lactate > 2 mmol/L, which are indicators of hypotension and hypoperfusion; 3.Informed consent (by the patient or legal representative) can be obtained within 24 hours after the patient is diagnosed with shock and admitted to the ICU;

Exclusion criteria

Exclusion criteria: 1.Severe trauma, deformity, surgical history, or active bleeding in the sublingual region that affects microcirculation image acquisition; 2.Patients who cannot tolerate weaning from non-invasive ventilation; 3.Pregnant or breastfeeding women; 4.Patients unable to cooperate or unable to provide valid informed consent due to language barriers, severe dementia, or mental illness; 5.Any other condition deemed by the investigator to be unsuitable for participation in this study (e.g., high risk of severe coagulation dysfunction); 6.Concurrent participation in other therapeutic studies;

Design outcomes

Primary

MeasureTime frame
Sublingual microcirculation parameters;The consistency between AI algorithms and the consensus scores provided by human experts;

Secondary

MeasureTime frame
Change in SOFA score;Change in APACHE II score;Length of stay in the ICU;28-day all-cause mortality;Lactate clearance rate;

Countries

China

Contacts

Public ContactHongping Qu

Ruijin Hospital, Shanghai Jiao Tong University School of Medicine

hongpingqu0412@hotmail.com+86 21 6437 0045

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 19, 2026