AIMC Topic: Disease Management
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Artificial intelligence in chronic kidney disease management: a scoping review.
Theranostics
Mar 21, 2025
Chronic kidney disease (CKD) is a major public health problem worldwide associated with cardiovascular disease, renal failure, and mortality. To effectively address this growing burden, innovative solutions to management are urgently required. We co...
Controversy in Hypertension: Pro-Side of the Argument Using Artificial Intelligence for Hypertension Diagnosis and Management.
Hypertension (Dallas, Tex. : 1979)
Mar 17, 2025
Hypertension presents the largest modifiable public health challenge due to its high prevalence, its intimate relationship to cardiovascular diseases, and its complex pathogenesis and pathophysiology. Low awareness of blood pressure elevation and sub...
Utilization of Machine Learning in the Prediction, Diagnosis, Prognosis, and Management of Chronic Myeloid Leukemia.
International journal of molecular sciences
Mar 12, 2025
Chronic myeloid leukemia is a clonal hematologic disease characterized by the presence of the Philadelphia chromosome and the BCR::ABL1 fusion protein. Integrating different molecular, genetic, clinical, and laboratory data would improve the diagnost...
Advanced applications in chronic disease monitoring using IoT mobile sensing device data, machine learning algorithms and frame theory: a systematic review.
Frontiers in public health
Feb 21, 2025
The escalating demand for chronic disease management has presented substantial challenges to traditional methods. However, the emergence of Internet of Things (IoT) and artificial intelligence (AI) technologies offers a potential resolution by facili...
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...
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...
Aged, 80 and over
Male
Middle Aged
Disease Progression
Deep Learning
Prospective Studies
Female
Aged
Disease Management
Artificial Intelligence
Algorithms
Fluorescein Angiography
Tomography, Optical Coherence
Humans
Fundus Oculi
Follow-Up Studies
Geographic Atrophy
Macular Degeneration
Visual Acuity
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...
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...
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...
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...
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