Surgeries MDPI

28/05/2026

Most AI studies in medical imaging report strong performance on their own data. The real question is whether those models work just as well in the real world.
A study published in Surgeries by Nasef, Sawiris, Girgis and Toma (New York Institute of Technology) puts this question at the center, evaluating deep learning models for knee osteoarthritis grading across two separate datasets. The findings show that without external validation, AI models can appear far more reliable than they actually are. 🔬
Full article: https://brnw.ch/21x2T1p

Background: This study evaluated the performance of machine learning models trained on two different datasets of knee X-ray images annotated with Kellgren–Lawrence grades. Methods: Learning curves indicated that one model experienced poor training, characterized by underfitting, while the other mo...

28/05/2026

Advancing open access is not something institutions or publishers can do alone. MDPI's Institutional Open Access Program connects over 1,000 partner institutions worldwide through flexible agreement models built around real needs, from discounted APCs for affiliated authors to real-time access to publishing data. It is a practical example of what genuine partnership between institutions and publishers can achieve.
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MDPI is a publisher of peer-reviewed, open access journals since its establishment in 1996.

28/05/2026

Why are some surgical specialties moving toward gender parity while others remain heavily male-dominated? A study published in Surgeries by Valji, Mahmood, Verhoeff and Turner (University of Alberta and University of Toronto) explores ten years of data on female trainee representation across Canadian surgical residency programs and what the findings mean for the future of the profession. 🔬
Full article: https://brnw.ch/21x2SMY

Background: Diversity of gender representation in surgery is known to positively influence patient outcomes and predict career trajectories for female trainees. This study aims to identify the current and recent past state of gender diversity amongst trainees entering Canadian surgical residency pro...

26/05/2026

Could the data collected before a heart surgery help predict how the operation itself will go? A study published in Surgeries (MDPI) by Bertolucci, Souza, Messias and colleagues (São Francisco University, Brazil) explores exactly that question. 🫀
Using a complex network model, the researchers analyzed how preoperative parameters relate to intraoperative outcomes in myocardial revascularization surgery, opening up new ways of using routine clinical data to support surgical planning.
Read the full open access article: https://brnw.ch/21x2Pel

Background/Objectives: Myocardial revascularization surgery (MR) is routinely performed in hospitals. However, there is a lack of an algorithm in the scientific literature aimed at predicting intraoperative parameters, such as total surgery time (TST) and cardiopulmonary bypass time (CBT), based on ...

22/05/2026

The shift to open access has been one of the most significant changes in scholarly publishing over the past three decades, and the work behind it is far from finished. In this conversation, CEO Stefan Tochev shares his perspective on MDPI's 30-year journey and the continued investment in people, technology, and ethical standards that shapes the path forward.

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MDPI marks 30 years of open science: global community of researchers, editors and reviewers supporting 500+ open access journals and free, immediate knowledge.

22/05/2026

For children with refractory epilepsy, surgery can be life-changing. The question is which technique offers the best outcomes, and a retrospective study published in Surgeries provides important comparative evidence.
Cano-Villagrasa, López-Zamora and colleagues (Universidad Internacional de Valencia and partners) analyzed outcomes from 120 children, half of whom had ASD, undergoing one of four surgical techniques. Lesionectomy and temporal lobectomy consistently delivered the best outcomes across seizure control, cognitive development, adaptive behavior, and quality of life, with significantly fewer complications than more extensive procedures. The benefits were observed regardless of ASD status. 🔬
Early identification of surgical candidates and comprehensive preoperative evaluation emerge as critical factors in optimizing outcomes for this vulnerable population.
Full article: https://brnw.ch/21x2IgF

22/05/2026

📢 Extended deadline! The Special Issue "Technology Integration in Spine Surgery: Navigation, Robotics, AI, and Digital Health" in Surgeries (MDPI) is now open for submissions until 30 November 2026.
Guest Editors Dr. Tsung-Cheng Yin (Kaohsiung Chang Gung Memorial Hospital, Taiwan) and Dr. Cheng-Ying Lee (Veterans General Hospital-Taichung, Taiwan) invite original research and reviews on robotic-assisted spine surgery, computer-assisted navigation, AI and machine learning in diagnostic imaging and predictive outcome modeling, AR/VR in surgical training, digital health and telemedicine, and intraoperative neurophysiological monitoring.
One paper is already published in this collection.
Submit your manuscript: https://brnw.ch/21x2IeU

Surgeries, an international, peer-reviewed Open Access journal.

19/05/2026

Most paper rejections are not about the science. They are about a mismatch between the manuscript and the journal it was submitted to. Taking the time to evaluate your research against a journal's scope, audience, and impact, and to ensure your manuscript is well written before submission, can be the difference between a publication and months of revision cycles. Strategy matters as much as the work itself.
Learn more: https://brnw.ch/21x2C8v

14/05/2026

A lot happened in April. MDPI opened its first US office in Philadelphia, hosted the Coatings 2026 Conference in Athens with participants from 25 countries, held its Poland Summit in Krakow on research integrity and AI, and marked 10 years of presence in Serbia. The April CEO Letter covers all of it.
Read the full edition: https://brnw.ch/21x2u1g

Opening Thoughts MDPI Opens First US Office in Philadelphia I am delighted to highlight an important milestone in MDPI’s continued global development:...

14/05/2026

Post-corpectomy spinal reconstruction has historically carried high complication rates, with achieving both mechanical stability and long-term fusion remaining one of the harder challenges in spinal surgery.
A case series published in Surgeries by Groszman, Al Rawahi, Aldeghaither, Aoude and colleagues (McGill University Health Centre) presents a novel construct combining a mesh cage with allograft or autograft, anchored to the spinal rod system via pedicle screws. 🏥
Applied in two cases spanning the cervical and lumbar spine, the technique achieved successful fusion at up to 19 months follow-up with no significant complications.
Read the full article: https://brnw.ch/21x2tKG