AIMC Topic: Disease Management

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Improvement of an Edge-IoT Architecture Driven by Artificial Intelligence for Smart-Health Chronic Disease Management.

Sensors (Basel, Switzerland) Dec 13, 2024
One of the health challenges in the 21st century is to rethink approaches to non-communicable disease prevention. A solution is a smart city that implements technology to make health smarter, enables healthcare access, and contributes to all resident...
Humans Artificial Intelligence Chronic Disease Disease Management Internet of Things Algorithms Wearable Electronic Devices
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A Novel Management Challenge in Age-Related Macular Degeneration: Artificial Intelligence and Expert Prediction of Geographic Atrophy.

Ophthalmology. Retina Nov 9, 2024
PURPOSE: The progression of geographic atrophy (GA) secondary to age-related macular degeneration is highly variable among individuals. Prediction of the progression is critical to identify patients who will benefit most from the first treatments cur...
Male Middle Aged Disease Progression Aged Aged, 80 and over Visual Acuity Tomography, Optical Coherence Fundus Oculi Deep Learning Follow-Up Studies Humans Artificial Intelligence Prospective Studies Female Algorithms Fluorescein Angiography Geographic Atrophy Macular Degeneration Disease Management
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The role of artificial intelligence in the management of liver diseases.

The Kaohsiung journal of medical sciences Oct 23, 2024
Universal neonatal hepatitis B virus (HBV) vaccination and the advent of direct-acting antivirals (DAA) against hepatitis C virus (HCV) have reshaped the epidemiology of chronic liver diseases. However, some aspects of the management of chronic liver...
Liver Diseases Antiviral Agents Disease Management Artificial Intelligence Machine Learning Liver Neoplasms Carcinoma, Hepatocellular Precision Medicine Humans
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The role of artificial intelligence in macular hole management: A scoping review.

Survey of ophthalmology Sep 30, 2024
We focus on the utility of artificial intelligence (AI) in the management of macular hole (MH). We synthesize 25 studies, comprehensively reporting on each AI model's development strategy, validation, tasks, performance, strengths, and limitations. A...
Humans Neural Networks, Computer Algorithms Tomography, Optical Coherence Artificial Intelligence Disease Management Retinal Perforations Vitrectomy
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AI in the clinical management of GA: A novel therapeutic universe requires novel tools.

Progress in retinal and eye research Sep 27, 2024
Regulatory approval of the first two therapeutic substances for the management of geographic atrophy (GA) secondary to age-related macular degeneration (AMD) is a major breakthrough following failure of numerous previous trials. However, in the absen...
Tomography, Optical Coherence Humans Macular Degeneration Fluorescein Angiography Artificial Intelligence Geographic Atrophy Disease Management
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Integrating large language models in care, research, and education in multiple sclerosis management.

Multiple sclerosis (Houndmills, Basingstoke, England) Sep 23, 2024
Use of techniques derived from generative artificial intelligence (AI), specifically large language models (LLMs), offer a transformative potential on the management of multiple sclerosis (MS). Recent LLMs have exhibited remarkable skills in producin...
Decision Support Systems, Clinical Multiple Sclerosis Disease Management Humans Artificial Intelligence
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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 Artificial Intelligence Algorithms Humans
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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...
Hypertension Humans Artificial Intelligence Disease Management Machine Learning National Heart, Lung, and Blood Institute (U.S.) 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 ...
Humans Disease Management Artificial Intelligence Uveitis
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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...
Gene Expression Profiling Disease Management Transcriptome Pancreatic Neoplasms Humans Tumor Microenvironment Machine Learning Artificial Intelligence Biomarkers, Tumor
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