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AI vs. traditional scores: which better predicts COVID-19 ICU outcomes?

NCT ID NCT06795880

Knowledge-focused Sponsor: Kocaeli City Hospital Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Aug 11, 2026 · Last updated Aug 12, 2026 · Updated 1 time

Summary

This study will use artificial intelligence to analyze data from 400 COVID-19 patients treated in intensive care units. The goal is to see if machine learning models, including deep learning, can predict which patients are most likely to die from the disease. The AI's performance will be compared with traditional scoring systems to determine if it offers greater accuracy and reliability. If successful, this approach could help doctors make more informed decisions for critically ill patients.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

What this could lead to
If successful, this could lead to AI tools that help doctors predict which COVID-19 ICU patients are at highest risk, potentially improving care and resource allocation.
What could go wrong
This is a retrospective analysis, not a prospective trial, so results may not apply to future patients. AI models can also be biased or overfit to the data they are trained on, and their accuracy needs validation in real-world settings.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

400 people

The number who actually took part.

Started

Apr 2020

Finished

Mar 2026

Lead sponsor

A government agency

The lead sponsor is a government body.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

An artificial intelligence-based analysis will be performed using retrospective data of patients treated in adult intensive care due to COVID-19.The dataset will include various parameters such as demographic information, laboratory results, vital signs, and clinical history.Among the ML models, logistic regression, support vector machines (SVM), decision trees, and deep learning techniques (e.g., artificial neural networks) will be used. The performance of the models will be compared with traditional scoring systems.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * All patients diagnosed with Covid-19 in the anesthesia and reanimation adult intensive care unit Exclusion Criteria: * Participants who do not meet the inclusion criteria stated above will be excluded from the study.

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Conditions

The condition(s) this trial relates to.

COVID-19

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

COVID -19

Contacts and locations

Locations

  • Kocaeli City Hospital

    İzmit, Kocaeli, 41060, Turkey (Türkiye)

More trials for these conditions

Other studies related to the condition(s) this trial covers.