Background and Objectives: Breast cancer (BC) is a global health concern for women; the disease contributes to significant morbidity and mortality. A key element in the diagnosis of BC involves the histopathological diagnosis, which determines patient management and therapy. However, BC is a multifaceted disease, limiting access to early diagnosis and, therefore, treatment. Artificial intelligence (AI) is transforming diagnostics in the medical field, especially in the detection of BC. Due to the increased availability of digital slides, it has facilitated the effective integration of AI in breast cancer diagnosis. Diagnosis poses a great challenge, even for experienced pathologists, due to the heterogeneity of this malignancy. Analysing microscopic slides by pathologists requires a considerable amount of time. Implementation of AI into routine workflows holds potential to improve diagnostic sensitivity and inter-observer concordance, and to increase efficiency by reducing the review time, thereby helping to alleviate the burden of diagnosing BC. Previous studies mainly address imaging modalities or oncology broadly, while a few specifically concentrates on the histopathological aspect of breast cancer. This review aims to explore the novel synthesis of AI advancements in digital pathology, including tumour classification, grading, lymph node staging, and biomarker evaluation, and discuss their potential incorporation into clinical workflows. We will also discuss the current barriers and prospects for future advancements. Materials and Methods: A literature search was conducted in PubMed and Google Scholar using the mentioned keywords. Articles published in English until July 2025 were reviewed and synthesised narratively. Results: Recent studies demonstrate that AI models such as convolutional neural networks (CNNs), YOLO, and RetinaNet achieve high accuracy in tumour detection, histological grading, lymph node metastasis localisation, and biomarker analysis. The reported performance values range from 75% to over 95% accuracy across various tasks, with gains in diagnostic sensitivity and inter-observer concordance, and reduced review time in assisted workflows. However, certain limitations, such as data variability, external validation in clinical practice, and ethical concerns, restrict the growth and optimal performance of AI and its clinical applicability. Conclusions: The future for AI looks promising, as it is rapidly evolving. By analysing evidence across multiple domains, this review evaluates both opportunities and persisting barriers, offering practical overviews for future clinical transition. AI cannot replace pathologists; however, it has the capabilities to enhance diagnostic precision, efficiency, and ultimately patient outcomes. It is only a matter of time before AI is adopted into healthcare.

Introduction: Low anterior resection (LAR) is a standard surgical procedure for distal rectal carcinoma that allows creation of a colorectal anastomosis, with anal sphincter preservation and permanent colostomy avoidance. Anastomotic leakage (AL) is a potential complication of LAR present in 3% to 20% of cases leading to a significant increase in postoperative morbidity. AL represents a communication between the intra luminal and extra luminal compartments caused by a violation of the integrity of the intestinal wall. The risk factors of this procedure have been discussed and still remain a controversial issue. Prevention is the best management. Patients with predisposing factors should be paid special attention. Aim: Our objective was to identify and analyze the risk factors of anastomotic leakage after low anterior resection of rectal carcinoma. Patients and methods: This study included all patients who underwent low anterior resection for rectal cancer at the Department of Surgery of University Hospital Kaspela between 2011 and 2016. Results: Low anterior resections were performed in 141 patients during the study period. Due to a positive air leak test on 16 patients, a protective ileostomy was created and these patients were eliminated from the study. The sex distribution of the remaining 125 patients was 69 men (55.2%) and 56 women (44.8%). The height of the anastomosis from the dentate line was 3.0 cm on an average (range 2.5 to 4 cm). Conclusion: Anastomotic leakage remains the most feared and serious complication after low anterior resection surgery. The evidence suggests that the main risk factors for anastomotic leakage at low anterior resection are the height of the anastomosis and the high ASA score.

Background/Objectives: Breast cancer is the most prevalent neoplasm in women. Improved screening and systemic therapies have allowed more patients to choose breast-conserving surgery over mastectomy. However, preserving glandular tissue while achieving negative margins remains difficult. Traditional intraoperative margin assessment techniques like frozen section analysis, cavity shave margins, intraoperative ultrasonography, and specimen radiography aim to reduce positive margins and re-excision rates but face several limitations, including time consumption, interpretive challenges, and operator dependency. Our aim was to critically evaluate both conventional and emerging intraoperative margin assessment techniques in breast-conserving surgery, highlighting their clinical utility, limitations, and potential to reduce re-excision rates and improve patient outcomes. Methods: We assessed PubMed and Google Scholar databases using search terms such as specimen radiography, intraoperative ultrasonography, mass spectrometry, optical coherence tomography, artificial intelligence, and others. Studies were selected based on relevance, language, and completeness, and refined through author consensus. Conclusions: Conventional techniques have demonstrated value in reducing re-excisions and preserving cosmetic outcomes. Emerging tools like MarginProbe, fluorescence imaging, mass spectrometry (MasSpec Pen, iKnife), OCT, and AI-enhanced imaging show promise in offering real-time feedback and higher diagnostic accuracy. However, high costs, training needs, and data variability limit their widespread adoption. Investment in standardised protocols and multicentre trials is essential. Integration of imaging, spectroscopy, and AI may offer the most robust framework for improving surgical outcomes and quality of life for breast cancer patients.

Introduction: Inguinal hernia repair is one of the most frequent operations in general surgery. Various techniques have been used to repair inguinal hernias since the first reconstructive technique described by Bassini in 1887. In 1989 Lichtenstein reported a new technique: tension free inguinal hernia repair. Laparoscopic inguinal hernia repair was introduced in the early 1990s, and soon also became popular. Literature has shown the benefits of laparoscopy (in comparison with open repair) to be mostly related to the more minimally invasive nature of the surgery, having lower wound infection rates, faster recovery, and less postoperative pain.  Aim: To evaluate our totally extraperitoneal (TEP) inguinal hernia repair initial results and compare them to literature data. Materials and methods: In a prospective review and analysis, we examined 61 cases of hernia repair via laparoscopy (specifically TEP), performed by a single surgeon, between April 2019 and December 2019 at the Kaspela University Hospital in Plovdiv. The centre’s Institutional Review Board approved the study with no specific consents required due to the retrospective, minimal risk nature of the study. The routine informed consent required by the National Insurance Fund has been considered sufficient for the study objectives.The surgical outcome measures included operating time (hours/minutes), conversion, peritoneal injury, surgical emphysema; and the clinical outcome measures included postoperative seroma, post-operative infection, and post-operative chronic groin pain. Results: Inguinal pain on discharge was characterized as mild by 56 (96.55%) patients and moderate by 2 (3.44%), there were no patients describing the pain as severe. The most frequently reported postoperative complications were annoyance and discomfort (10.34%), swelling (6.9%), seroma (3.44), hematoma (1.72%), paresthesia 1.72% (1); however, only those with seromas required special treatment. Conclusions: Limitations of the present study include the relatively small number of patients, all cases were operated on by a single surgeon and short postoperative follow-up period, but we are sharing our initial six months results. These results demonstrate that laparoscopic TEP inguinal hernia repair without mesh fixation is a reliable technique, which can reduce postoperative morbidity when applied by experienced surgeons.

Introduction: In the last decade, there has been a progressive shift from open to mini-invasive operative techniques for surgical resection of gastric cancer. Advanced equipment of surgical robots, with its 3D visualization, steady camera view, flexible instrument tips, attracts more and more practitioners in performing robotic gastrectomy with D2 dissection in gastric cancer patients. Thus, the comparison of some basic oncological as well as some surgical variables related to laparoscopic and robotic gastrectomy and D2 lymphadenectomy is necessary. Aim: The aim of the study was to compare our initial short-term results after robotic and laparoscopic gastrectomy. Materials and methods: A retrospective cohort study was performed. For a period of four years between January 2018 and August 2022, a total number of 110 patients with total gastrectomy and D2 lymphadenectomy due to gastric cancer operated in Department of General Surgery, Kaspela University Hospital, Plovdiv, were included into the study. They were separated in two groups: thirty-eight patients with robotic surgery and 72 with laparoscopic assisted procedure. Results: The oncological variables such as location of tumor, nodal status, number of lymph nodes removed, and pathological tumor showed no statistically significant differences between robotic and laparoscopic group. The demographic variables as age, sex, BMI, as well as ASA score also demonstrated no remarkable difference in both groups (p>0.05). The overall complication rate were similar (p=0.983). Conclusion: We found no significant advantages of robotic over laparoscopic gastric surgery in our patients. However, we think that robotic surgery is effective, safe, and promising approach to the treatment of gastric cancer capable of correcting some of the disadvantages of laparoscopy.

Introduction. Biliary obstruction is a common manifestation of biliopancreatic malignancies, and its relief is an essential part of the treatment algorithm. Currently, there are three techniques to manage malignant biliary obstruction—endoscopic retrograde cholangiopancreatography (ERCP), percutaneous transhepatic biliary drainage (PTBD), and endoscopic ultrasound-guided biliary drainage (EUS-BD). ERCP has been adopted as a first-line treatment modality but EUS-BD is gradually emerging as a viable alternative. The aim of the current article is to assess the clinical outcomes of the three nonsurgical biliary drainage procedures. Materials and methods. A total of 102 consecutive patients with unresectable biliopancreatic malignancy inducing biliary obstruction and subjected to palliative treatment by means of ERCP, EUS-BD, or PTBD were retrospectively included in the study. Results. No difference in clinical and technical success of the procedures was found: ERCP—97.2% technical; 88.9% clinical; PTBD—94.4% technical, 72.2% clinical; EUS-BD—90% technical; 83.3% clinical. Adverse events (AEs) and reinterventions were significantly more common in PTBD (38.9% and 52.8%) and ERCP (27.9% and 25%) compared to EUS-BD (10% and 3.3%). Total duration of hospital stay and number of hospitalizations were lower in the EUS-BD compared to PTBD and ERCP groups. Conclusions. In the presence of adequate expertise, EUS-BD may be superior to PTBD and ERCP in achieving and sustaining biliary drainage in the setting of unresectable malignancy.