Publications by authors named "Aleksander Krasowski"

Objective: The imbalanced nature of real-world datasets is an ongoing challenge in the field of machine and deep learning. In medicine and in dentistry, most data samples represent patients not affected by pathologies, and on imagery, pathologic image areas are often smaller than healthy ones. Selecting suitable loss functions during deep learning is essential and may help to overcome the resulting imbalance.

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(1) Background: We aimed to identify factors associated with the presence of apical lesions (AL) in panoramic radiographs and to evaluate the predictive value of the identified factors. (2) Methodology: Panoramic radiographs from 1071 patients (age: 11-93 a, mean: 50.6 a ± 19.

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Objective: Federated Learning (FL) enables collaborative training of artificial intelligence (AI) models from multiple data sources without directly sharing data. Due to the large amount of sensitive data in dentistry, FL may be particularly relevant for oral and dental research and applications. This study, for the first time, employed FL for a dental task, automated tooth segmentation on panoramic radiographs.

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Supervised deep learning requires labelled data. On medical images, data is often labelled inconsistently (e.g.

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Article Synopsis
  • * Three ML models were compared (logistic regression, random forest, extreme gradient boosting) based on their accuracy and the importance of predictors, showing that shorter time distances from data collection to death prediction improved accuracy.
  • * The overall mortality rate was 9.15% per year, with model accuracies ranging from 65% to 93%, however, the positive-predictive value was below 62%, while negative-predictive values remained over 90%.
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Article Synopsis
  • The study evaluates the costs associated with dental services for elderly Germans aged 75 and older, over a six-year period, analyzing a wide range of service types.
  • It finds that the average cost per person was 129.61 euros, with the highest expenses related to prosthetic and operative services, while total costs tend to decrease with age.
  • The research highlights disparities in dental service costs based on factors like sex, social hardship status, geographical location, and certain health conditions, suggesting a need for policy changes to address these inequalities.
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Objectives: We aimed to assess periodontal services utilization in very old Germans.

Methods: A comprehensive sample of very old (≥ 75 years), insured at a large Northeastern statutory insurer was followed over 6 years (2012-2017). We assessed periodontal service provision, entailing (1) periodontal screening index (PSI), (2) periodontal status/treatment planning, (3) periodontal therapy (scaling and root planning with or without access surgery), (4) postoperative reevaluation, and (5) any of these four services groups.

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Objectives: We assessed dental service utilization in very old Germans.

Methods: A comprehensive sample of 404,610 very old (≥ 75 years), insured at a large statutory insurer (Allgemeine Ortskrankenkasse Nordost, active in the federal states Berlin, Brandenburg, Mecklenburg-Western Pomerania), was followed over 6 years (2012-2017). Our outcome was the utilization of dental services, in total (any utilization) and in five subgroups: (1) examinations and associated assessment or advice, (2) restorations, (3) surgery, (4) prevention, (5) outreach care.

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