AIMC Topic: Disease Management

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Use of Artificial Intelligence Including Multimodal Systems to Improve the Management of Cardiovascular Disease.

The Canadian journal of cardiology Jul 20, 2024
The rising prevalence of cardiovascular disease presents an escalating challenge for current health services, which are grappling with increasing demands. Innovative changes are imperative to sustain the delivery of high-quality patient care. Recent ...
Cardiovascular Diseases Disease Management Humans Artificial Intelligence Algorithms
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Transforming Hypertension Diagnosis and Management in The Era of Artificial Intelligence: A 2023 National Heart, Lung, and Blood Institute (NHLBI) Workshop Report.

Hypertension (Dallas, Tex. : 1979) Jul 16, 2024
Hypertension is among the most important risk factors for cardiovascular disease, chronic kidney disease, and dementia. The artificial intelligence (AI) field is advancing quickly, and there has been little discussion on how AI could be leveraged for...
Humans Artificial Intelligence Hypertension Disease Management National Heart, Lung, and Blood Institute (U.S.) Machine Learning United States
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Managing a patient with uveitis in the era of artificial intelligence: Current approaches, emerging trends, and future perspectives.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) Jul 15, 2024
The integration of artificial intelligence (AI) with healthcare has opened new avenues for diagnosing, treating, and managing medical conditions with remarkable precision. Uveitis, a diverse group of rare eye conditions characterized by inflammation ...
Uveitis Disease Management Humans Artificial Intelligence
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Applications of spatial transcriptomics and artificial intelligence to develop integrated management of pancreatic cancer.

Advances in cancer research Jul 9, 2024
Cancer is a complex disease intrinsically associated with cellular processes and gene expression. With the development of techniques such as single-cell sequencing and sequential fluorescence in situ hybridization (seqFISH), it was possible to map th...
Disease Management Biomarkers, Tumor Machine Learning Transcriptome Humans Tumor Microenvironment Gene Expression Profiling Pancreatic Neoplasms Artificial Intelligence
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Cardiogenic Shock Update: New Trials, Evolving Management Paradigms, and Artificial Intelligence.

Journal of cardiothoracic and vascular anesthesia Jun 12, 2024
Clinical Trials as Topic Shock, Cardiogenic Humans Artificial Intelligence Disease Management
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Advancing precision rheumatology: applications of machine learning for rheumatoid arthritis management.

Frontiers in immunology Jun 10, 2024
Rheumatoid arthritis (RA) is an autoimmune disease causing progressive joint damage. Early diagnosis and treatment is critical, but remains challenging due to RA complexity and heterogeneity. Machine learning (ML) techniques may enhance RA management...
Machine Learning Precision Medicine Humans Rheumatology Arthritis, Rheumatoid Disease Management
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Role of Artificial Intelligence in Improving Syncope Management.

The Canadian journal of cardiology Jun 3, 2024
Syncope is common in the general population and a common presenting symptom in acute care settings. Substantial costs are attributed to the care of patients with syncope. Current challenges include differentiating syncope from its mimickers, identify...
Humans Electrocardiography Disease Management Artificial Intelligence Prognosis Syncope
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Artificial intelligence in therapeutic management of hyperlipidemic ocular pathology.

Experimental eye research Jun 3, 2024
Hyperlipidemia has many ocular manifestations, the most prevalent being retinal vascular occlusion. Hyperlipidemic lesions and occlusions to the vessels supplying the retina result in permanent blindness, necessitating prompt detection and treatment....
Retinal Artery Occlusion Retinal Vessels Retinal Vein Occlusion Tomography, Optical Coherence Hyperlipidemias Disease Management Fluorescein Angiography Humans Artificial Intelligence
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Machine learning-driven diagnostic signature provides new insights in clinical management of hypertrophic cardiomyopathy.

ESC heart failure Apr 17, 2024
AIMS: In an era of evolving diagnostic possibilities, existing diagnostic systems are not fully sufficient to promptly recognize patients with early-stage hypertrophic cardiomyopathy (HCM) without symptomatic and instrumental features. Considering th...
Humans Cardiomyopathy, Hypertrophic Gene Expression Profiling Machine Learning Disease Management Male
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The scope of artificial intelligence in retinopathy of prematurity (ROP) management.

Indian journal of ophthalmology Mar 8, 2024
Artificial Intelligence (AI) is a revolutionary technology that has the potential to develop into a widely implemented system that could reduce the dependence on qualified professionals/experts for screening the large at-risk population, especially i...
India Disease Management Retinopathy of Prematurity Algorithms Infant, Newborn Humans Neural Networks, Computer Artificial Intelligence
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