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Diagnostics, Volume 14, Issue 22

November-2 2024 - 146 articles

Cover Story: Artificial Intelligence (AI) is transforming sports medicine by advancing injury risk prediction and diagnostics through machine learning (ML) and deep learning (DL). This comprehensive review highlights AI’s ability to analyze complex data, identify injury risks, and develop personalized strategies based on athletes' profiles. Covering both individual and team sports, it emphasizes real-time monitoring, ethical data handling, and proactive diagnostic applications to safeguard athletes' health and enhance their performance. These insights showcase AI's potential to revolutionize injury management across diverse sports disciplines. View this paper
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Articles (146)

  • Article
  • Open Access
3 Citations
1,932 Views
23 Pages

Using Machine Learning and Feature Importance to Identify Risk Factors for Mortality in Pediatric Heart Surgery

  • Lorenz A. Kapsner,
  • Manuel Feißt,
  • Ariawan Purbojo,
  • Hans-Ulrich Prokosch,
  • Thomas Ganslandt,
  • Sven Dittrich,
  • Jonathan M. Mang and
  • Wolfgang Wällisch

18 November 2024

Background: The objective of this IRB-approved retrospective monocentric study was to identify risk factors for mortality after surgery for congenital heart defects (CHDs) in pediatric patients using machine learning (ML). CHD belongs to the most com...

  • Article
  • Open Access
1,153 Views
12 Pages

18 November 2024

Background/Objectives: The necessity and clinical utility of routine pre-procedural blood tests (PBTs) before neuraxial blockade remain controversial. This study evaluates the effectiveness of PBTs in identifying clinically significant conditions in...

  • Article
  • Open Access
1 Citations
1,695 Views
10 Pages

18 November 2024

Objectives: Absorbable biomaterials as adjuvant therapy after thoracoscopy are sometimes used in clinical scenarios. With the prevalence of enhanced rapid recovery in thoracic surgery, drainless video-assisted thoracoscopy surgery (VATS) is often ado...

  • Review
  • Open Access
3 Citations
4,291 Views
15 Pages

Computed Tomography and Magnetic Resonance Enterography: From Protocols to Diagnosis

  • Cesare Maino,
  • Ilaria Mariani,
  • Silvia Girolama Drago,
  • Paolo Niccolò Franco,
  • Teresa Paola Giandola,
  • Francescamaria Donati,
  • Piero Boraschi and
  • Davide Ippolito

18 November 2024

Both Magnetic Resonance Enterography (MRE) and Computed Tomography Enterography (CTE) are crucial imaging modalities in the diagnosis and treatment of inflammatory bowel disease (IBD). CTE is often used in acute scenarios, such as when complications...

  • Article
  • Open Access
6 Citations
2,671 Views
14 Pages

Artificial Intelligence and Image Analysis-Assisted Diagnosis for Fibrosis Stage of Metabolic Dysfunction-Associated Steatotic Liver Disease Using Ultrasonography: A Pilot Study

  • Itsuki Fujii,
  • Naoki Matsumoto,
  • Masahiro Ogawa,
  • Aya Konishi,
  • Masahiro Kaneko,
  • Yukinobu Watanabe,
  • Ryota Masuzaki,
  • Hirofumi Kogure,
  • Norihiro Koizumi and
  • Masahiko Sugitani

18 November 2024

Background/Objectives: Elastography increased the diagnostic accuracy of liver fibrosis. However, several challenges persist, including the widespread utilization of equipment, difficulties in measuring certain cases, and the influence of viscosity f...

  • Article
  • Open Access
3 Citations
4,423 Views
18 Pages

Comparative Analysis of Classification Criteria in IgG4-Related Disease and Evaluating Diagnostic Accuracy from a Retrospective Cohort in Clinical Practice

  • Marta Lopez-Gomez,
  • Patricia Moya-Alvarado,
  • Hye Sang Park,
  • Mar Concepción Martín,
  • Sara Calleja,
  • Helena Codes-Mendez,
  • Berta Magallares,
  • Iván Castellví,
  • Antonio J. Barros-Membrilla and
  • Ana Laiz
  • + 5 authors

17 November 2024

Introduction: We conducted a comprehensive comparative analysis of the Okazaki, Umehara, and American College of Rheumatology/European League Against Rheumatism (ACR/EULAR) classification criteria for diagnosing immunoglobulin G4-related disease (IgG...

  • Article
  • Open Access
2 Citations
3,341 Views
11 Pages

New Surgical Criteria for Intraductal Papillary Mucinous Neoplasm Based on the Age-Adjusted Charlson Comorbidity Index Values and Presence of Solid Component

  • Hiroyuki Hasegawa,
  • Mitsuharu Fukasawa,
  • Shinichi Takano,
  • Satoshi Kawakami,
  • Natsuhiko Kuratomi,
  • Shota Harai,
  • Dai Yoshimura,
  • Naoto Imagawa,
  • Tetsuya Okuwaki and
  • Toru Kuno
  • + 9 authors

17 November 2024

Objectives: The present study aimed to validate the new international guidelines for IPMN and determine the surgical criteria for patients with IPMN exhibiting high-risk stigmata (HRS). Methods: We enrolled 115 IPMN patients exhibiting HRS who were d...

  • Review
  • Open Access
2 Citations
2,267 Views
17 Pages

17 November 2024

Cardiac magnetic resonance (cMRI) imaging has recently become essential in cardiology. cMRI is widely recognized as the most reliable imaging technique for assessing the size and performance of the right ventricle. It allows for objective and functio...

  • Article
  • Open Access
2,083 Views
13 Pages

17 November 2024

Backgrounds/Objectives: Modern technology and educational activities, such as antenatal classes (ACs), increase patient informedness in medicine and improve collaboration between physicians and patients. The present study aimed to evaluate and compar...

  • Article
  • Open Access
1,562 Views
14 Pages

The Possible Role of Rosuvastatin Therapy in HFpEF Patients—A Preliminary Report

  • Tomasz Urbanowicz,
  • Ievgen Spasenenko,
  • Marta Banaszkiewicz,
  • Anna Olasińska-Wiśniewska,
  • Aleksandra Krasińska-Płachta,
  • Andrzej Tykarski,
  • Krzysztof J. Filipiak,
  • Zbigniew Krasiński and
  • Beata Krasińska

16 November 2024

Background: An increasing number of heart failure with preserved ejection fraction (HFpEF) syndromes has been reported in tandem with increasing age and burdens of obesity and cardiometabolic disorders. Identifying possible risk and modulatory HFpEF...

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Diagnostics - ISSN 2075-4418