Machine Learning to Predict In-Hospital Mortality in COVID-19 Patients Using Computed Tomography-Derived Pulmonary and Vascular Features.

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

1. The accuracy of artificial intelligence in predicting COVID-19 patient mortality: a systematic review and meta-analysis.BMC medical informatics and decision making · 2023
   Pooled it
2. An early novel prognostic model for predicting 80-day survival of patients with COVID-19.Frontiers in cellular and infection microbiology · 2022
   Trial
3. Efficient management of pulmonary embolism diagnosis using a two-step interconnected machine learning model based on electronic health records data.Health information science and systems · 2024
   Article
4. MRI-based artificial intelligence to predict infection following total hip arthroplasty failure.La Radiologia medica · 2023
   Article
5. Boosting the Performance of Artificial Intelligence-Driven Models in Predicting COVID-19 Mortality in Ethiopia.Diagnostics (Basel, Switzerland) · 2023
   Article
6. Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance.International journal of environmental research and public health · 2023
   Article
7. How the COVID-19 Pandemic Affected Attendance at a Tertiary Orthopedic Center Emergency Department: A Comparison between the First and Second Waves.Diagnostics (Basel, Switzerland) · 2022
   Article
8. Artificial Intelligence-Driven Ensemble Model for Predicting Mortality Due to COVID-19 in East Africa.Diagnostics (Basel, Switzerland) · 2022
   Article
9. Progress and prospects for artificial intelligence in clinical practice: learning from COVID-19.Internal and emergency medicine · 2022
   Article
10. Prognostic utility of cardiovascular indices in COVID-19 infection: A single-center prospective study in India.Journal of family medicine and primary care · 2022
    Article
11. Design of an artificial neural network to predict mortality among COVID-19 patients.Informatics in medicine unlocked · 2022
    Article
12. Machine Learning Algorithms to Predict In-Hospital Mortality in Patients with Traumatic Brain Injury.Journal of personalized medicine · 2021
    Article
13. A Promising and Challenging Approach: Radiologists' Perspective on Deep Learning and Artificial Intelligence for Fighting COVID-19.Diagnostics (Basel, Switzerland) · 2021
    Review

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

Authors and funding

38 authors at 13 institutions in 2 countries.

Funding

Abstract

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