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TOPICAL COLLECTIONS

Advancements in Laparoscopic Surgery: Innovative Techniques and Emerging Technologies
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Guest Editors

Saiteja Malisetty

Saiteja Malisetty

University of Nebraska Omaha

Dr. Saiteja Malisetty earned his Ph.D. in computing and information science from the University of Nebraska in Omaha. He is a data scientist who focuses on the intersection of machine learning, medical technologies, and surgical skill assessment. His innovative research has contributed to advancements in minimally invasive surgery and has been widely published in prominent journals. Dr. Malisetty collaborates with interdisciplinary teams to integrate AI and machine learning into medical training, aiming to bridge the gap between data science and healthcare for improved patient outcomes.

Vikram Pasupuleti

Vikram Pasupuleti

Eastern Illinois University

Vikram Pasupuleti earned a Master’s in Computer Technology from Eastern Illinois University and is now working as a data engineer. His research interests include machine learning, large language models, and artificial intelligence, with applications in supply chain optimization and cybersecurity. He has co-authored several peer-reviewed articles focusing on the practical application of advanced data analytics in real-world scenarios. Vikram’s work continues to explore the frontiers of AI and big data, contributing to innovations across multiple disciplines.

Collection Overview

Laparoscopic surgery has revolutionized surgical practice by significantly reducing patient recovery times, postoperative pain, and complications compared to traditional open surgery. This Methods Collection will spotlight the latest innovations in laparoscopic techniques, such as robotic-assisted surgery, advanced energy devices, and novel procedural approaches across various specialties, including general surgery, gynecology, and bariatrics. By providing detailed video demonstrations, this collection aims to enhance the accessibility and reproducibility of these cutting-edge techniques, enabling surgeons globally to adopt and refine their practices, ultimately improving patient outcomes.

In addition to showcasing current advancements, the collection will explore emerging trends in the field, such as integrating artificial intelligence and image-guided navigation to increase precision and reduce errors during procedures. These technological innovations promise to elevate the standard of care in minimally invasive surgery, ultimately leading to improved patient outcomes. By highlighting established and emerging methodologies, this collection will serve as an invaluable resource for the surgical community, fostering the widespread adoption of new techniques and contributing to ongoing advancements in patient care and surgical education.

Articles

Three-dimensional Location Approach with Silk Thread Guided Laparoscopic Segmentectomy for Liver Tumor
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Three-dimensional Location Approach with Silk Thread Guided Laparoscopic Segmentectomy for Liver Tumor

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2025

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Abstracts

Temporary uterine artery occlusion to reduce blood loss in uterus conserving surgeries:A novel method

mukta agarwal*1

1AIIMS PATNA

Electrocautery as primary hemostatic in the staple line of Sleeve Gastrectomy

Adolfo Leyva-Alvizo*1,

Oziel Cantu-Delgado2,

Cristina Villar-Canton3

1Tecnologico de Monterrey, Universidad de Monterrey,

2Universidad de Monterrey,

3Tecnologico de Monterrey

Fluorescence-guided surgery using nizaracianine for ureter identification during removal of extensive diverticular disease of the sigmoid colon

Cedric Pesch*1

1Leiden University Medical Center