Tomasz Cwalinski

Papers

3

Total Citations

37

H-Index

3

About

Tomasz Cwalinski is a leading surgical oncologist whose research focuses on advancing minimally invasive techniques for esophageal and gastric cancer treatment, with a particular emphasis on robotic-assisted surgery and artificial intelligence integration. As a key contributor to the Robotic Global Surgical Society (TROGSS) and European Federation International Society for Digestive Surgery (EFISDS), Cwalinski has authored comprehensive reviews evaluating robotic-assisted esophagectomy and gastrectomy, demonstrating that these approaches can reduce postoperative morbidity while maintaining oncologic efficacy. His 2025 review on robotic esophagectomy (16 citations) systematically examines outcomes in esophageal cancer treatment, while his companion work on robotic gastrectomy (15 citations) establishes evidence-based guidelines for gastric cancer management. More recently, Cwalinski has pioneered the intersection of artificial intelligence and surgical oncology, exploring AI applications in early diagnosis, intraoperative guidance, and precision medicine for gastric cancer surgery. His work bridges the gap between emerging technology and clinical practice, positioning him at the forefront of surgical innovation. With citations spanning multiple high-impact collaborative reviews, Cwalinski’s contributions are shaping the future of digestive surgery by demonstrating how robotic platforms and AI can enhance surgical precision, improve patient outcomes, and reduce complications in complex oncologic procedures.

Research Focus

Key Achievements

3
H-Index
3
Papers
37
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Evaluating Postoperative Morbidity and Outcomes of Robotic-Assisted Esophagectomy in Esophageal Cancer Treatment—A Comprehensive Review on Behalf of TROGSS (The Robotic Global Surgical Society) and EFISDS (European Federation International Society for Digestive Surgery) Joint Working Group
16 citations · 2025
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 44

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago