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  • Review
  • Open Access
AI Med.2026, 1(1), 6;https://doi.org/10.3390/aimed1010006 
(registering DOI)

9 February 2026

Internet Gaming Disorder (IGD), recognized in the International Classification of Diseases (ICD-11), affects millions—especially adolescents and young adults—and poses challenges that invite scalable innovations in care. This narrative re...

  • Review
  • Open Access
256 Views
21 Pages

Artificial Intelligence and Neuromuscular Diseases: A Narrative Review

  • Donald C. Wunsch,
  • Daniel B. Hier and
  • Donald C. Wunsch

27 January 2026

Neuromuscular diseases are biologically diverse, clinically heterogeneous, and often difficult to diagnose and treat, highlighting the need for computational tools that can help resolve overlapping phenotypes and support timely, mechanism-informed in...

  • Article
  • Open Access
301 Views
37 Pages

23 January 2026

Despite widespread adoption, Electronic Medical Record (EMR) systems remain limited in providing intelligent clinical decision support, particularly for early detection of patient deterioration. We present MedROAD V2 (Medical Records Organization, An...

  • Article
  • Open Access
635 Views
22 Pages

Genetic Algorithm Optimization for Hybrid Deep Learning Prognosis of Reverse Total Shoulder Arthroplasty Rehabilitation

  • Sotiria Vrouva,
  • Christos Raptis,
  • George A. Koumantakis,
  • George Anastasopoulos,
  • Efstratios Karavasilis and
  • Adam Adamopoulos

16 December 2025

Within the framework of the ongoing development of application of Machine Learning models in Medicine and Physical Therapy, the development of accurate prognosis algorithms for postoperative patients during the rehabilitation phase remains an area re...

  • Article
  • Open Access
795 Views
21 Pages

Smarter Hospitals: Machine Learning to Optimize Healthcare

  • Agostino Marengo,
  • Vito Santamato and
  • Massimo Iacoviello

27 November 2025

The increasing challenges of healthcare systems demand innovative approaches to resource optimization, particularly for hospitals operating under economic and operational constraints. This study investigates the organizational and managerial factors...

  • Article
  • Open Access
868 Views
29 Pages

Mapping Anti-HLA Class I Cross-Reactivity for Transplantation Using Interpretable Embedding and Clustering of SAB MFI

  • Luis Ramalhete,
  • Rúben Araújo,
  • Cristiana Teixeira,
  • Isaias Pedro,
  • Isabel Silva and
  • Anibal Ferreira

10 November 2025

Background: Mapping anti–HLA class I cross-reactivity from single-antigen bead (SAB) mean fluorescence intensity (MFI) data supports donor selection. However, interpretation is complicated by analytical choices and assay variability. Methods: A...

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AI Med. - ISSN 3042-6707