AIMC Topic: Polypharmacy
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Optimizing elderly care: A data-driven AI model for predicting polypharmacy risk in the elderly using SHARE data.
Neuroscience
May 5, 2025
BACKGROUND: Aging is frequently accompanied by multimorbidity, the presence of multiple chronic conditions, which contributes to declines in both cognitive and physical function and presents complex health challenges. One such challenge is Polypharma...
Chat GPT vs. Clinical Decision Support Systems in the Analysis of Drug-Drug Interactions.
Clinical pharmacology and therapeutics
Feb 11, 2025
The current standard method for the analysis of potential drug-drug interactions (pDDIs) is time-consuming and includes the use of multiple clinical decision support systems (CDSSs) and the interpretation by healthcare professionals. With the emergen...
Mobile applications on app stores for deprescribing: A scoping review.
British journal of clinical pharmacology
Aug 4, 2024
Deprescribing is an evidence-based intervention to reduce potentially inappropriate medication use. Yet its implementation faces barriers including inadequate resources, training and time. Mobile applications (apps) on app stores could address some b...
Advancing medical imaging: detecting polypharmacy and adverse drug effects with Graph Convolutional Networks (GCN).
BMC medical imaging
Jul 15, 2024
Polypharmacy involves an individual using many medications at the same time and is a frequent healthcare technique used to treat complex medical disorders. Nevertheless, it also presents substantial risks of negative medication responses and interact...
Optimizing drug therapy for older adults: shifting away from problematic polypharmacy.
Expert opinion on pharmacotherapy
Jul 2, 2024
INTRODUCTION: The accelerated discovery and production of pharmaceutical products has resulted in many positive outcomes. However, this progress has also contributed to problematic polypharmacy, one of the rapidly growing threats to public health in ...
Validation of a novel Artificial Pharmacology Intelligence (API) system for the management of patients with polypharmacy.
Research in social & administrative pharmacy : RSAP
Apr 10, 2024
OBJECTIVE: Medication management of patients with polypharmacy is highly complex. We aimed to validate a novel Artificial Pharmacology Intelligence (API) algorithm to optimize the medication review process in a comprehensive, personalized, and scalab...
Perceptions on artificial intelligence-based decision-making for coexisting multiple long-term health conditions: protocol for a qualitative study with patients and healthcare professionals.
BMJ open
Feb 1, 2024
INTRODUCTION: Coexisting multiple health conditions is common among older people, a population that is increasing globally. The potential for polypharmacy, adverse events, drug interactions and development of additional health conditions complicates ...
MSEDDI: Multi-Scale Embedding for Predicting Drug-Drug Interaction Events.
International journal of molecular sciences
Feb 24, 2023
A norm in modern medicine is to prescribe polypharmacy to treat disease. The core concern with the co-administration of drugs is that it may produce adverse drug-drug interaction (DDI), which can cause unexpected bodily injury. Therefore, it is essen...
Exploring polypharmacy with artificial intelligence: data analysis protocol.
BMC medical informatics and decision making
Jul 20, 2021
BACKGROUND: Polypharmacy is common among older adults and it represents a public health concern, due to the negative health impacts potentially associated with the use of several medications. However, the large number of medication combinations and s...
Predicting Adverse Drug-Drug Interactions with Neural Embedding of Semantic Predications.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Mar 4, 2020
The identification of drug-drug interactions (DDIs) is important for patient safety; yet, compared to other pharmacovigilance work, a limited amount of research has been conducted in this space. Recent work has successfully applied a method of derivi...
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