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Congenital Abnormalities

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Prioritizing Clinically Relevant Copy Number Variation from Genetic Interactions and Gene Function Data.

PloS one
It is becoming increasingly necessary to develop computerized methods for identifying the few disease-causing variants from hundreds discovered in each individual patient. This problem is especially relevant for Copy Number Variants (CNVs), which can...

Robot-assisted excision of seminal vesicle cyst associated with ipsilateral renal agenesis.

Archivio italiano di urologia, andrologia : organo ufficiale [di] Societa italiana di ecografia urologica e nefrologica
Seminal vesicle cysts (SVCs) associated with other genitourologic abnormalities are rare. Often associated with ipsilateral renal agenesis in a symptomatic patient. In symptomatic patients open surgical excision is the treatment of choice. The laparo...

Fetal health status prediction based on maternal clinical history using machine learning techniques.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Congenital anomalies are seen at 1-3% of the population, probabilities of which are tried to be found out primarily through double, triple and quad tests during pregnancy. Also, ultrasonographical evaluations of fetuses enha...

Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources.

Nucleic acids research
The Human Phenotype Ontology (HPO)-a standardized vocabulary of phenotypic abnormalities associated with 7000+ diseases-is used by thousands of researchers, clinicians, informaticians and electronic health record systems around the world. Its detaile...

Artificial Intelligence Models Predict Operative Versus Nonoperative Management of Patients with Adult Spinal Deformity with 86% Accuracy.

World neurosurgery
OBJECTIVE: Patients with ASD show complex and highly variable disease. The decision to manage patients operatively is largely subjective and varies based on surgeon training and experience. We sought to develop models capable of accurately discrimina...

Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time.

Prenatal diagnosis
OBJECTIVE: Advances in artificial intelligence (AI) have demonstrated potential to improve medical diagnosis. We piloted the end-to-end automation of the mid-trimester screening ultrasound scan using AI-enabled tools.