AIMC Topic: Disease Management

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Spectroscopic and deep learning-based approaches to identify and quantify cerebral microhemorrhages.

Scientific reports May 21, 2021
Cerebral microhemorrhages (CMHs) are associated with cerebrovascular disease, cognitive impairment, and normal aging. One method to study CMHs is to analyze histological sections (5-40 μm) stained with Prussian blue. Currently, users manually and sub...
Disease Management Spectrum Analysis Image Processing, Computer-Assisted Cerebral Hemorrhage Data Interpretation, Statistical Humans Deep Learning ROC Curve
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Machine learning based models for prediction of subtype diagnosis of primary aldosteronism using blood test.

Scientific reports May 4, 2021
Primary aldosteronism (PA) is associated with an increased risk of cardiometabolic diseases, especially in unilateral subtype. Despite its high prevalence, the case detection rate of PA is limited, partly because of no clinical models available in ge...
Male Middle Aged ROC Curve Female Workflow Aged Humans Logistic Models Supervised Machine Learning Adult Machine Learning Support Vector Machine Disease Management Biomarkers Hyperaldosteronism Blood Chemical Analysis Prognosis
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Machine learning, artificial intelligence and mechanical circulatory support: A primer for clinicians.

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation Feb 27, 2021
Artificial intelligence (AI) refers to the ability of machines to perform intelligent tasks, and machine learning (ML) is a subset of AI describing the ability of machines to learn independently and make accurate predictions. The application of AI co...
Decision Making, Computer-Assisted Heart Failure Disease Management Heart-Assist Devices Humans Artificial Intelligence Machine Learning Algorithms
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Bridging the artificial intelligence valley of death in surgical decision-making.

Surgery Feb 16, 2021
Humans Artificial Intelligence Disease Management Quality Improvement General Surgery Critical Pathways Decision Support Techniques Clinical Decision-Making Decision Support Systems, Clinical
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Towards a Precision Medicine Approach Based on Machine Learning for Tailoring Medical Treatment in Alkaptonuria.

International journal of molecular sciences Jan 26, 2021
ApreciseKUre is a multi-purpose digital platform facilitating data collection, integration and analysis for patients affected by Alkaptonuria (AKU), an ultra-rare autosomal recessive genetic disease. It includes genetic, biochemical, histopathologica...
Disease Susceptibility Alkaptonuria Humans Machine Learning Quality of Life Algorithms Models, Theoretical Databases, Factual Disease Management Precision Medicine
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Outcomes of surgical and/or medical treatment in patients with prolactinomas during long-term follow-up: a retrospective single-centre study.

Hormone molecular biology and clinical investigation Dec 17, 2020
OBJECTIVES: Prolactinoma is the most common cause of pituitary tumours. Current medical guidelines recommend dopamine agonists (cabergoline or bromocriptine) as the initial therapy for prolactinoma. However, surgical removal can also be considered in...
Disease Management Adult Tumor Burden Humans Clinical Decision-Making Male Pituitary Neoplasms Prognosis Female Middle Aged Prolactinoma Retrospective Studies Adolescent Young Adult Combined Modality Therapy Treatment Outcome Follow-Up Studies
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Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection.

Scientific reports Dec 17, 2020
Recent advancements in deep learning have led to a resurgence of medical imaging and Electronic Medical Record (EMR) models for a variety of applications, including clinical decision support, automated workflow triage, clinical prediction and more. H...
Workflow Pulmonary Embolism Disease Management Image Interpretation, Computer-Assisted Clinical Decision-Making Sensitivity and Specificity Image Processing, Computer-Assisted Machine Learning Tomography, X-Ray Computed Electronic Health Records Humans Neural Networks, Computer
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Milestones for autonomous in vivo microrobots in medical applications.

Surgery Dec 11, 2020
In light of recent developments within both health care and robotics, the use of robots within the human body has become attainable. Here we discuss the milestones for the realization of autonomous microrobots in medical applications. The desired tas...
Humans Clinical Decision-Making Robotics General Surgery Robotic Surgical Procedures Automation Disease Management
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Precision medicine in the era of artificial intelligence: implications in chronic disease management.

Journal of translational medicine Dec 9, 2020
Aberrant metabolism is the root cause of several serious health issues, creating a huge burden to health and leading to diminished life expectancy. A dysregulated metabolism induces the secretion of several molecules which in turn trigger the inflamm...
Artificial Intelligence Humans Chronic Disease Precision Medicine Disease Management Diabetes Mellitus
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Artificial intelligence: Not an oxymoron in surgery.

Surgery Oct 21, 2020
Humans General Surgery Artificial Intelligence Clinical Decision-Making Disease Management
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