You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["HealthCareActivity", "InjuryOrPoisoning", "BodySubstance", "IntellectualProduct", "AnatomicalStructure", "SpatialConcept", "Chemical", "Bacterium", "MedicalDevice", "Organization", "BiomedicalOccupationOrDiscipline", "Finding", "BiologicFunction", "Virus", "ResearchActivity", "ClinicalAttribute", "PopulationGroup", "Eukaryote", "BodySystem", "Food", "ProfessionalOrOccupationalGroup"].

Please return the output as a JSON object of the format: {"Virus": ["HIV", ...], "Bacterium": ["MRSA", ...], "AnatomicalStructure": ["Lung", ...], "BodySystem": ["CNS", ...], "BodySubstance": ["Serum", ...], "Finding": ["Headache", ...], "InjuryOrPoisoning": ["Fracture", ...], "BiologicFunction": ["Death", ...], "HealthCareActivity": ["Biopsy", ...], "ResearchActivity": ["Clinical trial", ...], "MedicalDevice": ["Lenses", ...], "SpatialConcept": ["Camps", ...], "BiomedicalOccupationOrDiscipline": ["Forensic medicine", ...], "Organization": ["WHO", ...], "ProfessionalOrOccupationalGroup": ["Provider", ...], "PopulationGroup": ["Swimmers", ...], "Chemical": ["Gold", ...], "Food": ["Rice", ...], "IntellectualProduct": ["RPAM", ...], "ClinicalAttribute": ["Biomarker", ...], "Eukaryote": ["Dogs", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Successful Fetal Tele-Echo at a Small Regional Hospital Prenatal diagnosis of complex congenital heart disease (CHD) has been shown to improve newborn outcomes. The rate of prenatal diagnosis and access to fetal echocardiography vary widely across the United States. A clinical fetal tele-echo service was established at King's Daughters Medical Center (KDMC) in Ashland, KY, a region in eastern Kentucky that is 3 h from the nearest congenital heart surgeon. The aim of this study was to determine if fetal tele-echo utilizing local sonographers at a small regional hospital can accurately and efficiently identify fetuses with complex CHD. Medical records were reviewed for all mother-infant pairs who had fetal tele-echoes performed at KDMC and interpreted by University of Louisville pediatric cardiology between March 2011 and December 2013. Findings on fetal tele-echo were compared to newborn echo and clinical course, and divided into four groups: (1) Correct - no difference between fetal tele-echo and newborn echo, (2) Likely Correct-normal fetal tele-echo and benign newborn course, (3) Major Difference -one that affected newborn clinical course, and (4) Minor Difference -did not affect clinical course. Seventy-five mother-infant pairs were analyzed. Fetal tele-echoes were Correct in 21%, Likely Correct in 56%, showed Major Differences in 0%, and showed Minor Differences in 23%. For identifying complex CHD, fetal tele-echo had a sensitivity and specificity of 100%. The average number of fetal echocardiograms per mother-infant pair was 1.1. Fetal tele-echocardiography performed by local sonographers at a small regional hospital can accurately and efficiently identify fetuses with complex CHD.
{"AnatomicalStructure": ["fetuses", "CHD", "congenital heart disease"], "Bacterium": [], "BiologicFunction": [], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": [], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["Findings", "newborn", "improve"], "Food": [], "HealthCareActivity": ["clinical fetal tele-echo", "fetal tele-echoes", "prenatal diagnosis", "Fetal tele-echocardiography", "Fetal tele-echoes", "fetal tele-echo", "fetal echocardiography", "Prenatal diagnosis", "fetal echocardiograms", "Fetal Tele-Echo", "echo"], "InjuryOrPoisoning": [], "IntellectualProduct": ["Medical records"], "MedicalDevice": [], "Organization": ["KDMC", "King\u0027s Daughters Medical Center", "University of Louisville pediatric cardiology", "small regional hospital", "Small Regional Hospital"], "PopulationGroup": [], "ProfessionalOrOccupationalGroup": ["local sonographers", "congenital heart surgeon"], "ResearchActivity": ["analyzed", "study"], "SpatialConcept": ["Ashland", "access", "eastern Kentucky", "United States", "KY"], "Virus": []}