{"id":4357,"date":"2024-12-06T09:16:48","date_gmt":"2024-12-05T22:16:48","guid":{"rendered":"https:\/\/harrison.ai\/?p=4357"},"modified":"2025-10-07T06:33:44","modified_gmt":"2025-10-06T19:33:44","slug":"evaluation-of-an-artificial-intelligence-model-for-identification-of-obstructive-hydrocephalus-on-computed-tomography-of-the-head","status":"publish","type":"post","link":"https:\/\/harrison.ai\/evaluation-of-an-artificial-intelligence-model-for-identification-of-obstructive-hydrocephalus-on-computed-tomography-of-the-head\/","title":{"rendered":"Evaluation of an artificial intelligence model for identification of obstructive hydrocephalus on computed tomography of the head"},"content":{"rendered":"    <section id=\"evidence-block-block_572242760dcea8b526ce325103256297\" class=\"study-block   text-\" >\n        <div class=\"container  container--tab\">\n            <div class=\"container container--tab\">\n                <div class=\"connect__decor hide-md\">\n                    <span class=\"pixel-decor\" style=\"background-color: rgba(9, 114, 241, 0.75)\"><\/span>\n                    <span class=\"pixel-decor\" style=\"background-color: #0972f1\"><\/span>\n                    <span class=\"pixel-decor\" style=\"background-color: rgba(9, 114, 241, 0.5)\"><\/span>\n                    <span class=\"pixel-decor hide-sm\" style=\"background-color: rgba(9, 114, 241, 0.5)\"><\/span>\n                <\/div>\n                <div class=\"study__share hide-sm\" data-aos=\"fade-up\">\n                                    <\/div>\n                <div class=\"study__row\">\n                    <div class=\"study__left\" data-aos=\"fade-up\"><\/div>\n                    <div class=\"study__right\" data-aos=\"fade-up\">\n                        <div class=\"text b1\">\n                        <h5>Authors<\/h5>\n<p>Ghatak A, Newbury-Chaet I, Mercaldo S, Chin J et al.<\/p>\n<p><a href=\"https:\/\/www.researchsquare.com\/article\/rs-5487343\/v2\" target=\"_blank\" rel=\"noopener\">Preprint<\/a>.<\/p>\n<h5><\/h5>\n                        <\/div>\n                                            <\/div>\n                <\/div>\n                                                            <div class=\"study__row\">\n                            <div class=\"study__left\" data-aos=\"fade-up\">\n                                <h2 class=\"h5\">Introduction<\/h2>\n                            <\/div>\n                            <div class=\"study__right\" data-aos=\"fade-up\">\n                                <div class=\"text b1\"><p>Obstructive hydrocephalus is a critical radiographic finding requiring emergent treatment. Its identification on head computed tomography (CT) by an artificial intelligence (AI) model could facilitate sooner life-saving interventions, although there are common co-occurring findings including intracranial hemorrhage that can confound this interpretation. This study assessed the accuracy of an AI model (Annalise Enterprise CTB) at identifying obstructive hydrocephalus including in the presence or absence of other findings.<\/p>\n<\/div>                            <\/div>\n                        <\/div>\n                                            <div class=\"study__row\">\n                            <div class=\"study__left\" data-aos=\"fade-up\">\n                                <h2 class=\"h5\">Methods<\/h2>\n                            <\/div>\n                            <div class=\"study__right\" data-aos=\"fade-up\">\n                                <div class=\"text b1\"><p>This retrospective cohort included 177 thin (\u2264\u20091.5mm) series and 194 thick (>\u20091.5 and \u2264\u20095mm) series from 200 non-contrast head CT cases. These cases were obtained from patients aged\u2009\u2265\u200918 years at 5 hospitals in the United States. Each case was interpreted independently by up to three neuroradiologists. Each series was then interpreted by the AI model.<\/p>\n<\/div>                            <\/div>\n                        <\/div>\n                                            <div class=\"study__row\">\n                            <div class=\"study__left\" data-aos=\"fade-up\">\n                                <h2 class=\"h5\">Results<\/h2>\n                            <\/div>\n                            <div class=\"study__right\" data-aos=\"fade-up\">\n                                <div class=\"text b1\"><p>The AI model performed with area under the curve 0.988 (95% confidence interval (CI): 0.971 to 0.998) on thin series and 0.986 (95% CI: 0.969 to 0.997) on thick series. These results were broadly maintained in subgroups for the presence or absence of intracranial hemorrhage, parenchymal abnormality and ventricular drain, and across demographic and scanner manufacturer subgroups.<\/p>\n<\/div>                            <\/div>\n                        <\/div>\n                                            <div class=\"study__row\">\n                            <div class=\"study__left\" data-aos=\"fade-up\">\n                                <h2 class=\"h5\">Conclusions<\/h2>\n                            <\/div>\n                            <div class=\"study__right\" data-aos=\"fade-up\">\n                                <div class=\"text b1\"><p>The AI model accurately identified obstructive hydrocephalus in this dataset. Its performance in subgroup analyses reflected its robustness.<\/p>\n<\/div>                            <\/div>\n                        <\/div>\n                                            <div class=\"study__row\">\n                            <div class=\"study__left\" data-aos=\"fade-up\">\n                                <h2 class=\"h5\">Disclaimer<\/h2>\n                            <\/div>\n                            <div class=\"study__right\" data-aos=\"fade-up\">\n                                <div class=\"text b1\"><p>Harrison.ai Radiology Solutions were previously marketed as Annalise.ai solutions.<\/p>\n<\/div>                            <\/div>\n                        <\/div>\n                                                                        <div class=\"study__row\">\n                        <div class=\"study__left\" data-aos=\"fade-up\"><\/div>\n                        <div class=\"study__right\" data-aos=\"fade-up\">\n                            <div class=\"study__btn\">\n                                <a href=\"https:\/\/www.researchsquare.com\/article\/rs-5487343\/v2\" target=\"_blank\" class=\"btn btn--xl font-rules\" rel=\"noopener\">Full article <span class=\"icon-arrow-right-up\"><\/span><\/a>\n                            <\/div>\n                        <\/div>\n                    <\/div>\n                            <\/div>\n        <\/div>\n    <\/section>\n\n\n\n    <section id=\"cta-block-block_62eded2419931420826ff4adf3609387\" class=\"cta-block   text-\" >\n        <div class=\"container  container-\">\n            <div class=\"cta__content\">\n                <div class=\"cta__decor cta__decor--alt\">\n                    <div class=\"pixel-md-holder\">\n                        <span class=\"pixel-md-decor pixel-blur\" style=\"background-color: rgba(9, 114, 241, 0.15)\"><\/span>\n                        <span class=\"pixel-md-decor pixel-blur hide-md\" style=\"background-color: rgba(9, 114, 241, 0.45)\"><\/span>\n  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