You are currently viewing a new version of our website. To view the old version click .

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
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (146)

  • Interesting Images
  • Open Access
1 Citations
1,222 Views
3 Pages

“Rosary Sign” at Somatostatin Receptor PET in a Case of Recurrent Meningioma

  • Cesare Michele Iacovitti,
  • Davide Giovanni Bosetti,
  • Barbara Muoio,
  • Marco Cuzzocrea,
  • Gaetano Paone and
  • Giorgio Treglia

20 November 2024

We present the case of a 60-year-old male with recurrent atypical meningioma in the right parietal lobe, previously treated with surgery and radiation therapy. Magnetic resonance imaging (MRI) performed 5 years after radiation therapy suggested a pos...

  • Article
  • Open Access
1 Citations
1,437 Views
10 Pages

Predictive Model of Paraaortic Lymph Node Involvement in cN0 Locally Advanced Cervical Cancers: PET/CT Technology Matters

  • Judicael Hotton,
  • Emilie Raimond,
  • Fabien Reyal,
  • Sophie Michel,
  • Vivien Ceccato,
  • Abdenasser Moubtakir,
  • Dimitri Papathanassiou and
  • David Morland

20 November 2024

Background: The aim is to propose a model for predicting occult paraaortic lymph node (PALN) involvement in locally advanced cervical cancer (LACC) patients by including parameters such as reconstruction detection technology (use of time-of-flight) a...

  • Article
  • Open Access
2 Citations
2,324 Views
11 Pages

20 November 2024

Background/Objective: Spasticity following stroke causes structural changes in the muscles and fascia, affecting the mobility and functional recovery of patients. Understanding these structural changes is critical to optimizing the rehabilitation str...

  • Article
  • Open Access
1 Citations
2,218 Views
13 Pages

Multi-Scale 3D Cephalometric Landmark Detection Based on Direct Regression with 3D CNN Architectures

  • Chanho Song,
  • Yoosoo Jeong,
  • Hyungkyu Huh,
  • Jee-Woong Park,
  • Jun-Young Paeng,
  • Jaemyung Ahn,
  • Jaebum Son and
  • Euisung Jung

20 November 2024

Background: Cephalometric analysis is important in diagnosing and planning treatments for patients, traditionally relying on 2D cephalometric radiographs. With advancements in 3D imaging, automated landmark detection using deep learning has gained pr...

  • Article
  • Open Access
18 Citations
2,785 Views
30 Pages

A Novel Method for 3D Lung Tumor Reconstruction Using Generative Models

  • Hamidreza Najafi,
  • Kimia Savoji,
  • Marzieh Mirzaeibonehkhater,
  • Seyed Vahid Moravvej,
  • Roohallah Alizadehsani and
  • Siamak Pedrammehr

20 November 2024

Background: Lung cancer remains a significant health concern, and the effectiveness of early detection significantly enhances patient survival rates. Identifying lung tumors with high precision is a challenge due to the complex nature of tumor struct...

  • Article
  • Open Access
1,095 Views
8 Pages

Agreement Between Resting Energy Expenditure Predictive Formulas and Indirect Calorimetry in Non-Dialysis Dependent Chronic Kidney Disease

  • Mariana Cassani de Oliveira,
  • Marina Nogueira Berbel Bufarah,
  • Rodrigo Bueno de Oliveira,
  • Cassiana Regina de Góes and
  • André Luís Balbi

20 November 2024

Background and Aims: The gold standard method for measuring resting energy expenditure (REE) is indirect calorimetry (IC) using an expensive device that requires specialized training. To overcome the limitations of IC, REE prediction formulas are use...

  • Review
  • Open Access
2 Citations
4,558 Views
17 Pages

The Bleeding Edge: Managing Coagulation and Bleeding Risk in Patients with Cirrhosis Undergoing Interventional Procedures

  • Rareș Crăciun,
  • Cristiana Grapă,
  • Tudor Mocan,
  • Cristian Tefas,
  • Iuliana Nenu,
  • Alina Buliarcă,
  • Horia Ștefănescu,
  • Andrada Nemes,
  • Bogdan Procopeț and
  • Zeno Spârchez

20 November 2024

This review addresses the peri-procedural bleeding risks in patients with cirrhosis, emphasizing the need for careful coagulation assessment and targeted correction strategies. Liver disease presents a unique hemostatic challenge, where traditional c...

  • Interesting Images
  • Open Access
2 Citations
1,616 Views
5 Pages

Compound Heterozygous Variants in the IFT140 Gene Associated with Skeletal Ciliopathies

  • Katia Margiotti,
  • Marco Fabiani,
  • Antonella Cima,
  • Antonella Viola,
  • Francesca Monaco,
  • Chiara Alì,
  • Costanza Zangheri,
  • Carmela Abramo,
  • Claudio Coco and
  • Alvaro Mesoraca
  • + 1 author

20 November 2024

Ciliopathies are rare congenital disorders caused by defects in the structure or function of cilia, which can lead to a wide range of clinical manifestations. Among them, a subset known as skeletal ciliopathies exhibits significant phenotypic overlap...

  • Article
  • Open Access
1 Citations
1,713 Views
12 Pages

20 November 2024

Background: Chronic kidney disease patients undergoing hemodialysis (HD) are at a high risk of developing sarcopenia. This study aimed to validate the performance of ultrasound (US) measurements of the vastus lateralis (VL) for estimating muscle mass...

  • Systematic Review
  • Open Access
1 Citations
3,018 Views
13 Pages

19 November 2024

Background: This study aimed to determine the molecular epidemiology of colistin-resistant A. baumannii in the last ten years and the frequency of gene regions related to pathogenesis, to compare the methods used to detect genes, and to confirm colis...

of 15

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Diagnostics - ISSN 2075-4418