AIMC Topic: Disease Management

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Non-obvious correlations to disease management unraveled by Bayesian artificial intelligence analyses of CMS data.

Artificial intelligence in medicine Nov 17, 2016
OBJECTIVE: Given the availability of extensive digitized healthcare data from medical records, claims and prescription information, it is now possible to use hypothesis-free, data-driven approaches to mine medical databases for novel insight. The goa...
Humans Artificial Intelligence Databases, Factual United States Bayes Theorem Disease Management Centers for Medicare and Medicaid Services, U.S.
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Rapid identification of slow healing wounds.

Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society Feb 4, 2016
Chronic nonhealing wounds have a prevalence of 2% in the United States, and cost an estimated $50 billion annually. Accurate stratification of wounds for risk of slow healing may help guide treatment and referral decisions. We have applied modern mac...
Early Diagnosis Wounds and Injuries Early Medical Intervention Risk Assessment Infant, Newborn Chronic Disease Infant Reproducibility of Results Disease Management Adolescent Aged Male Logistic Models Aged, 80 and over Time Factors Middle Aged Young Adult Models, Theoretical Child, Preschool Prognosis Wound Healing Adult Child Retrospective Studies Humans Female Machine Learning
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Recommendations for the Management of Diabetes During Ramadan Applying the Principles of the ADA/ EASD Consensus: Update 2025.

Diabetes/metabolism research and reviews Jul 1, 2025
Ramadan fasting is a sacred ritual observed by approximately 1.8 billion Muslims each year, most of whom adhere to fasting due to its significance as a core pillar of Islam. Able-bodied Muslims who are capable of fasting are religiously required to d...
Humans Islam Disease Management Practice Guidelines as Topic Fasting Consensus Diabetes Mellitus
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Integrating Artificial Intelligence in the Diagnosis and Management of Metabolic Syndrome: A Comprehensive Review.

Diabetes/metabolism research and reviews May 1, 2025
BACKGROUND: Metabolic syndrome (MetS) is a progressive chronic pathophysiological state characterised by abdominal obesity, hypertension, hyperglycaemia, and dyslipidaemia. It is recognised as one of the major clinical syndromes affecting human healt...
Metabolic Syndrome Disease Management Prognosis Diabetes Mellitus, Type 2 Humans Artificial Intelligence Machine Learning
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[Application Practice of AI Empowering Post-discharge Specialized Disease Management in Postoperative Rehabilitation of the Lung Cancer Patients Undergoing Surgery].

Zhongguo fei ai za zhi = Chinese journal of lung cancer Mar 20, 2025
BACKGROUND: Lung cancer is the leading malignancy in China in terms of both incidence and mortality. With increased health awareness and the widespread use of low-dose computed tomography (CT), early diagnosis rates have been steadily improving. Surg...
Female Aged Adult Humans Artificial Intelligence Patient Discharge Disease Management Postoperative Period Quality of Life Lung Neoplasms Postoperative Care Male Middle Aged
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Democratizing Congenital Heart Disease Management: The Potential for AI-Enabled Care and Necessary Future Directions.

Journal of the American College of Cardiology Aug 27, 2024
Humans Artificial Intelligence Disease Management Heart Defects, Congenital
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The Promise and Pitfalls of AI in the Complex World of Diagnosis, Treatment, and Disease Management.

JAMA Oct 17, 2023
Diagnosis Therapeutics Artificial Intelligence Disease Management
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Phenomapping Heart Failure with Preserved Ejection Fraction Using Machine Learning Cluster Analysis: Prognostic and Therapeutic Implications.

Heart failure clinics Jul 1, 2021
Heart failure with preserved ejection fraction (HFpEF) is characterized by a high rate of hospitalization and mortality (up to 84% at 5 years), which are similar to those observed for heart failure with reduced ejection fraction (HFrEF). These epidem...
Prognosis Stroke Volume Heart Failure Disease Management Humans Machine Learning Phenotype
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Artificial Intelligence Opportunities for Vestibular Schwannoma Management Using Image Segmentation and Clinical Decision Tools.

World neurosurgery May 1, 2021
Disease Management Neuroma, Acoustic Humans Artificial Intelligence Clinical Decision-Making Image Processing, Computer-Assisted
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The potential application of artificial intelligence for diagnosis and management of glaucoma in adults.

British medical bulletin Jul 9, 2020
BACKGROUND: Glaucoma is the most frequent cause of irreversible blindness worldwide. There is no cure, but early detection and treatment can slow the progression and prevent loss of vision. It has been suggested that artificial intelligence (AI) has ...
Disease Management Early Diagnosis Glaucoma Artificial Intelligence Algorithms Humans
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