Artificial Intelligence (AI) has emerged as a transformative technology with immense potential in the field of medicine. By leveraging machine learning and deep learning, AI can assist in diagnosis, treatment selection, and patient monitoring, enabling more accurate and efficient healthcare delivery. The widespread implementation of AI in healthcare has the role to revolutionize patients’ outcomes and transform the way healthcare is practiced, leading to improved accessibility, affordability, and quality of care. This article explores the diverse applications and reviews the current state of AI adoption in healthcare. It concludes by emphasizing the need for collaboration between physicians and technology experts to harness the full potential of AI.

Paraovarian cysts (POCs) develop within the broad ligament of the uterus. POCs are considered to be giant when the threshold of 150 mm is exceeded. Clinical signs and symptoms occur as a consequence of the pressure effect on adjacent organs or due to complications. Abdominal ultrasonography, computed tomography or magnetic resonance imaging are useful imaging tools, but most often the exact origin of such voluminous cysts is revealed only by surgical exploration. The review aims to appraise and update the diagnostic, the histological aspects and the treatment of the giant POCs in rare cases. We carried out a systematic search in Medline-PubMed, Google Scholar and ResearchGate electronic databases. Twenty-seven papers fulfilling the selection criteria were included in the review. The data extracted included information about first author, year of publication, country, patient age, size and side of the POCs, symptoms, tumoral markers, imaging methods, preoperative diagnosis, surgical management and histopathological findings. Although not very numerous, all the studies highlighted the low incidence of giant POCs, the impossibility of establishing the origin of the cystic mass by clinical and imaging methods even with advanced technical tools and the low risk of torsion (11.1%). Despite the recognized benign nature of POCs, we found an unexpected high percent (25.9%) of borderline giant POCs. Surgical excision is the only treatment option. Ovarian-sparing surgery was performed in 85.1% of the cases, and minimally invasive techniques were applied in only 42.9% of the patients, which demonstrates the need of a high-level laparoscopic expertise. Knowledge of this pathology, its recognition as a possible etiology of an abdominopelvic cyst, and a higher awareness of the possibility of a borderline histology in giant POCs are required for the proper management of these particular cases.

Artificial intelligence (AI) is a reality of our times, and it has been successfully implemented in all fields, including medicine. As a relatively new domain, all efforts are directed towards creating algorithms applicable in most medical specialties. Pathology, as one of the most important areas of interest for precision medicine, has received significant attention in the development and implementation of AI algorithms. This focus is especially important for achieving accurate diagnoses. Moreover, immunohistochemistry (IHC) serves as a complementary diagnostic tool in pathology. It can be further augmented through the application of deep learning (DL) and machine learning (ML) algorithms for assessing and analyzing immunohistochemical markers. Such advancements can aid in delineating targeted therapeutic approaches and prognostic stratification. This article explores the applications and integration of various AI software programs and platforms used in immunohistochemical analysis. It concludes by highlighting the application of these technologies to pathologies such as breast, prostate, lung, melanocytic proliferations, and hematologic conditions. Additionally, it underscores the necessity for further innovative diagnostic algorithms to assist physicians in the diagnostic process.

(1) Background: SARS-CoV-2 infection during pregnancy could determine important maternal and fetal complications. We aimed to prospectively assess placental immunohistochemical changes, immunophenotyping alterations, and pregnancy outcomes in a cohort of patients with COVID-19; (2) Methods: 52 pregnant patients admitted to a tertiary maternity center between October 2020 and November 2021 were segregated into two equal groups, depending on the presence of SARS-CoV-2 infection. Blood samples, fragments of umbilical cord, amniotic membranes, and placental along with clinical data were collected. Descriptive statistics and a conditional logistic regression model were used for data analysis; (3) Results: Adverse pregnancy outcomes such as preterm labor and neonatal intensive care unit admission did not significantly differ between groups. The immunophenotyping analysis indicated that patients with moderate–severe forms of COVID-19 had a significantly reduced population of T lymphocytes, CD4+ T cells, CD8+ T cells (only numeric), CD4+/CD8+ index, B lymphocytes, and natural killer (NK) cells. Our immunohistochemistry analysis of tissue samples failed to demonstrate positivity for CD19, CD3, CD4, CD8, and CD56 markers; (4) Conclusions: Immunophenotyping analysis could be useful for risk stratification of pregnant patients, while further studies are needed to determine the extent of immunological decidual response in patients with various forms of COVID-19.

Gynecologic melanomas are uncommon and malignant mucosal melanomas with vaginal origin are extremely rare, treatment strategies are limited and extrapolated from those of cutaneous melanoma. A better understanding of the vulvovaginal melanoma’s biology and its risk factors is needed. Therapeutic strategies include surgery, systemic therapy and radiotherapy. For vulvovaginal melanoma, surgery is selected as the primary treatment. Immunotherapy and target treatment have recently enhanced the systemic therapy for cutaneous melanoma (CM). Immunotherapy and new target agents demonstrated a better survival of melanoma and might be considered as treatment of vulvovaginal melanoma. Radiotherapy is included in the therapeutic arsenal for mucosal melanoma and may be performed on selected patients who may receive concurrent checkpoints and inhibition neoadjuvant radiotherapy with the purpose of reducing morbidity and mortality.

Struma ovarii (SO) is a monodermal teratoma containing at least 50% thyroid tissue. Classically, SO is a hormonally inactive benign neoplasm that occurs in premenopausal women, and has unspecific clinical and imaging features. Its treatment is surgical and its diagnosis is established histopathologically. We report the case of a euthyroid 16-year-old girl presenting with abdominal girth increase. An abdomino-pelvic ultrasound showed a giant multicystic mass with transonic content and multiple septa, and magnetic resonance imaging suggested the diagnosis of right ovarian mucinous cystadenoma. Blood tests showed inflammatory syndrome, iron deficiency anemia, mild hepatocytolysis, and elevated serum CA 125 levels. High-grade fever occurred on the third day of hospitalization, but none of the preoperative tests could identify its origin. Cystectomy was performed, and the histopathological examination revealed benign SO with a few small cysts with purulent content. The patient developed hypothyroidism postoperatively. In conclusion, this case report reunites most of the uncommon features of SO and confirms the superiorityof histopathology in its definitive diagnosis, as well as the suitability of ovarian sparing techniques, as the best treatment option for cystic ovarian pathology in pediatric patients, even in cases of large tumoral size and elevated serum CA 125 levels.