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In the rapidly evolving field of medical image analysis utilizing artificial intelligence (AI), the selection of appropriate computational models is critical for accurate diagnosis and patient care. This literature review provides a comprehensive comparison of vision transformers (ViTs) and convolutional neural networks (CNNs), the two leading techniques in the field of deep learning in medical imaging. We conducted a survey systematically. Particular attention was given to the robustness, computational efficiency, scalability, and accuracy of these models in handling complex medical datasets. The review incorporates findings from 36 studies and indicates a collective trend that transformer-based models, particularly ViTs, exhibit significant potential in diverse medical imaging tasks, showcasing superior performance when contrasted with conventional CNN models. Additionally, it is evident that pre-training is important for transformer applications. We expect this work to help researchers and practitioners select the most appropriate model for specific medical image analysis tasks, accounting for the current state of the art and future trends in the field. [ABSTRACT FROM AUTHOR]

Background/Purpose: The safety of laparoscopic liver resection in super‐elderly patients with comorbidities is unknown. We used propensity score matching to evaluate the utility and safety of laparoscopic liver resection in super‐elderly patients. Methods: Two‐hundred and five patients who underwent laparoscopic liver resection were retrospectively reviewed. They were classified into two groups based on age: ≥80 years (elderly group, n = 49) and <80 years (control group, n = 156). Propensity score matching (PSM) was performed based on preoperative clinical parameters. The intraoperative and postoperative outcomes were compared. Results: After matching, 45 patients were included in each group. The intraoperative blood loss was identical between the control and elderly groups (60 vs 60 mL, respectively, P =.588); the frequency of serious postoperative complications (Clavien–Dindo class ≥3, 1/45 vs 1/45, P = 1.00) was also similar. There was no significant difference in terms of the exacerbation of malignancy (22.2% vs 11.1%, P =.258) or other diseases (8.9% vs 22.2%, P =.144). There was no difference in overall survival before and after PSM. However, 5‐year overall survival excluding primary cancer‐related death showed a difference after PSM (90.7% vs 70.4%; P =.048). Conclusions: Laparoscopic liver resection is feasible and safe in super‐elderly patients. The long‐term prognosis was poor in patients affected by other illnesses compared to the younger population with similar risk profiles, but there was no difference in overall survival. [ABSTRACT FROM AUTHOR]