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Showing 6 of 6 academic articles

Clinical Impact of Patient-Specific 3D Models in Neonatal Surgery: A Case-Based Review of Applications and Future Directions

Oscar Girón-Vallejo, Bernardo Garcia-Nuñez, Isidoro Narbona-Arias, Alexander Siles-Hinojosa et al. • Children (2025)

Three-dimensional (3D) modeling and printing technologies are increasingly used in pediatric surgery, offering improved anatomical visualization, surgical planning, and personalized approaches to complex conditions. Compared to standard ima...

DOAJ Open Access (DOAJ) DOI: 10.3390/children12091202

Poster 58. Preoperative Corticosteroid Injection History Does Not Influence Meniscal Allograft Transplantation Survivorship or Failure Rates

Vishal Sundaram, Isabella Jazrawi BA, Rushani K. Cameron MS, Cody Perskin et al. • Orthopaedic Journal of Sports Medicine (2026)

Objective: Meniscal allograft transplantation (MAT) is a joint-preserving option for patients with symptomatic meniscal deficiency unresponsive to nonoperative care. By restoring tibiofemoral load transmission, MAT can relieve pain, improve...

DOAJ Open Access (DOAJ) DOI: 10.1177/2325967126S00369

Machine learning applications in epilepsy

Bardia Abbasi, Daniel M. Goldenholz • Epilepsia (2019)

Machine learning leverages statistical and computer science principles to develop algorithms capable of improving performance through interpretation of data rather than through explicit instructions. Alongside widespread use in image recogn...

OPENALEX Open Access DOI: https://doi.org/10.1111/epi.16333 PMC: 9897263

The Integration of Cone Beam Computed Tomography, Artificial Intelligence, Augmented Reality, and Virtual Reality in Dental Diagnostics, Surgical Planning, and Education: A Narrative Review

Aida Meto, Gerta Halilaj • Applied Sciences (2025)

(1) Background: Advancements in dental imaging technologies have significantly transformed diagnostic and surgical practices. The integration of cone beam computed tomography (CBCT), artificial intelligence (AI), augmented reality (AR), and...

DOAJ Open Access (DOAJ) DOI: 10.3390/app15116308

Artificial intelligence assisted 3D in the robotic urooncology? A systematic review and narrative synthesis of current applications, challenges and future directions

Bara Barakat, Bilal Al-Absi, Boris Hadaschik, Christian Rehme et al. • The Canadian Journal of Urology (2026)

Background: Artificial intelligence (AI)-assisted three-dimensional (3D) surgical platforms, integrated with augmented reality, have the potential to improve intraoperative anatomical recognition and provide surgeons with an immersive, dyna...

DOAJ Open Access (DOAJ) DOI: 10.32604/cju.2026.071284