Infertility

[Application of the blastomere count variations "skip value" in the embryo AI assessment].

To explore the correlation between blastomere count variations "skip value" which extracted from by time-lapse technology (TLT) combined with artificial intelligence (AI) and morphological features of in vitro fertilization (IVF) embryo, and to test its feasibility in clinical applications. This study was a diagnostic experiment (AI reassessment of embryo transferred patients), a total of 6 545 ...

Embryonic Quality Assessment using Advanced Deep Learning Architectures utilizing Microscopic Images of Blastocysts.

The accurate evaluation of embryonic quality which is a key aspect in Assisted Reproductive Technology (ART) and it is crucial to ensure the success of in vitro fertilization (IVF), especially at critical developmental phases like day 3 and day 5. To increase the success rate of implantation, morphological feature-based scoring techniques are currently the mainstay of embryo evaluation. Addressing...

BlastAssist: a deep learning pipeline to measure interpretable features of human embryos.

STUDY QUESTION: Can the BlastAssist deep learning pipeline perform comparably to or outperform human experts and embryologists at measuring interpreta...

ChatGPT: a reliable fertility decision-making tool?

The internet is the primary source of infertility-related information for most people who are experiencing fertility issues. Although no longer shroud...

A brief history of artificial intelligence embryo selection: from black-box to glass-box.

With the exponential growth of computing power and accumulation of embryo image data in recent years, artificial intelligence (AI) is starting to be u...

Assessing the Utility of artificial intelligence in endometriosis: Promises and pitfalls.

Endometriosis, a chronic condition characterized by the growth of endometrial-like tissue outside of the uterus, poses substantial challenges in terms...

Hematological Indices and Genetic Variants of Premature Ovarian Insufficiency: Machine Learning Approaches.

BACKGROUND: Premature Ovarian Insufficiency (POI) is associated with infertility. Little is known about the potential circulating biomarkers that coul...

Modelling a self-defined CNN for effectual classification of PCOS from ultrasound images.

BACKGROUND: Polycystic Ovary Syndrome (PCOS) is a medical condition that causes hormonal disorders in women in their childbearing years. The hormonal ...

[A CASE OF TESTICULAR TUMOR UNDER CONSIDERATION FOR PARTIAL ORCHIECTOMY THROUGH RAPID INTRAOPERATIVE DIAGNOSIS].

A 35-year-old man visited a local doctor for continuing analysis of his infertility. Semen analysis revealed azoospermia while an ultrasonography dete...

Clinical efficacy of modified sacral fixation under Leonardo da Vinci robot laparoscopy for pelvic organ prolapse.

OBJECTIVE: The aim of this study was to analyze the clinical efficacy of modified sacral fixation under Leonardo da Vinci robot laparoscopy for pelvic...

Deep Learning-Based Quantitative Blastocyst Assessment.

Selecting the single best blastocyst based on morphological appearance for implantation is a crucial part of in vitro fertilization (IVF). Various dee...

[Clinical effects of robot-assisted esophageal hiatal hernia repair and laparoscopic esophageal hiatal hernia repair: a retrospective comparative study].

To analyze the short-term clinical effects of robot-assisted and laparoscopic repair of the hiatal hernia. The clinical data of 56 patients underwen...

[Robot-assisted Simple Prostatectomy (RASP)].

Robot-assisted Simple Prostatectomy (RASP) Surgical treatment of large adenomas of the prostate (> 80g) in men suffering from symptomatic prostate hy...

Enhancing the success of IVF with artificial intelligence.

[Robot-assisted choledochal cyst resection in a child].

The generally accepted method for choledochal cysts is total resection of cystic extrahepatic bile ducts and gallbladder followed by biliodigestive an...

[Application of robot-assisted laparoscopic sentinel lymph node tracing in treating endometrial carcinoma].

To investigate the value of robot-assisted laparoscopic indocyanine green sentinel lymph node (SLN) tracing in treating endometrial carcinoma. Thirt...

Robot-assisted laparoscopic staging compared to conventional laparoscopic staging and laparotomic staging in clinical early stage ovarian carcinoma.

PURPOSE OF REVIEW: Robot-assisted laparoscopic staging (RALS) is increasingly used for staging epithelial ovarian cancer (EOC). Evidence of its safety...

Artificial intelligence model to predict pregnancy and multiple pregnancy risk following in vitro fertilization-embryo transfer (IVF-ET).

OBJECTIVE: To decrease multiple pregnancy risk and sustain optimal pregnancy chance by choosing suitable number of embryos during transfer, this study...

Robot-assisted tumorectomy for an unusual pelvic retroperitoneal leiomyoma: A case report.

RATIONALE: Extrauterine leiomyoma occasionally occurs in rare locations with unusual growth patterns, especially pelvic retroperitoneal leiomyoma, whi...

Robot-Assisted Surgery for Endometriosis Current and Future Perspectives.

Successful resection of all visible lesions may effectively treat endometriosis-related infertility and pelvic pain. Minimally invasive surgery provid...