AIMC Topic: Prescriptions

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Towards improved prescription metrics in novel radiotherapy techniques: a machine learning study.

Physics in medicine and biology Apr 14, 2025
FLASH radiotherapy (RT), microbeam RT (MRT) and minibeam RT (MBRT) are novel RT techniques that have been shown to reduce normal tissue complication probabilities, by modulating the dose distributions through different parameters in space and time. T...
Machine Learning Neoplasms Humans Radiotherapy Dosage Radiotherapy Prescriptions Organs at Risk Radiotherapy Planning, Computer-Assisted
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Artificial Intelligence-Assisted Prescription Determination for Orthokeratology Lens Fitting: From Algorithm to Clinical Practice.

Eye & contact lens May 2, 2024
OBJECTIVES: To explore the potential of artificial intelligence (AI) to assist prescription determination for orthokeratology (OK) lenses.
Humans Artificial Intelligence Algorithms Orthokeratologic Procedures Child Visual Acuity Prescriptions Prosthesis Fitting Contact Lenses Myopia Adolescent Female Male
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Adverse Event Signal Detection Using Patients' Concerns in Pharmaceutical Care Records: Evaluation of Deep Learning Models.

Journal of medical Internet research Apr 16, 2024
BACKGROUND: Early detection of adverse events and their management are crucial to improving anticancer treatment outcomes, and listening to patients' subjective opinions (patients' voices) can make a major contribution to improving safety management....
Antineoplastic Agents Deep Learning Humans Neoplasms Prescriptions Hand-Foot Syndrome
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Machine learning in medication prescription: A systematic review.

International journal of medical informatics Oct 20, 2023
BACKGROUND: Medication prescription is a complex process that could benefit from current research and development in machine learning through decision support systems. Particularly pediatricians are forced to prescribe medications "off-label" as chil...
Neural Networks, Computer Machine Learning Child Prescriptions Algorithms Humans
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External validation of machine learning algorithm predicting prolonged opioid prescriptions in opioid-naïve lumbar spine surgery patients using a Taiwanese cohort.

Journal of the Formosan Medical Association = Taiwan yi zhi Jul 13, 2023
BACKGROUND/PURPOSE: Identifying patients at risk of prolonged opioid use after surgery prompts appropriate prescription and personalized treatment plans. The Skeletal Oncology Research Group machine learning algorithm (SORG-MLA) was developed to pred...
Prescriptions Analgesics, Opioid Probability Humans Algorithms Machine Learning Retrospective Studies
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An Accurate Deep Learning-Based System for Automatic Pill Identification: Model Development and Validation.

Journal of medical Internet research Jan 13, 2023
BACKGROUND: Medication errors account for a large proportion of all medical errors. In most homes, patients take a variety of medications for a long period. However, medication errors frequently occur because patients often throw away the containers ...
Humans Prescriptions Artificial Intelligence Republic of Korea Databases, Factual Deep Learning
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A deep learning method to detect opioid prescription and opioid use disorder from electronic health records.

International journal of medical informatics Dec 31, 2022
OBJECTIVE: As the opioid epidemic continues across the United States, methods are needed to accurately and quickly identify patients at risk for opioid use disorder (OUD). The purpose of this study is to develop two predictive algorithms: one to pred...
Analgesics, Opioid Opioid-Related Disorders Prescriptions Practice Patterns, Physicians' Deep Learning United States Machine Learning Humans Electronic Health Records
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Individualized Diagnosis and Prescription in Traditional Medicine: Decision-Making Process Analysis and Machine Learning-Based Analysis Tool Development.

The American journal of Chinese medicine Sep 4, 2022
While pattern identification (PI) is an essential process in traditional medicine (TM), it is difficult to objectify since it relies heavily on implicit knowledge. Therefore, this study aimed to propose a machine learning (ML)-based analysis tool to ...
Prescriptions Machine Learning Medicine, Traditional Humans
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Assessment of a hybrid decision support system using machine learning with artificial intelligence to safely rule out prescriptions from medication review in daily practice.

International journal of clinical pharmacy Jan 3, 2022
Background Medication review is time-consuming and not exhaustive in most French hospitals. We routinely use an innovative hybrid decision support system using Artificial Intelligence to prioritize medication review by scoring prescriptions by their ...
Artificial Intelligence Machine Learning Humans Prescriptions Medication Review Drug-Related Side Effects and Adverse Reactions Pharmacists
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Treatment initiation prediction by EHR mapped PPD tensor based convolutional neural networks boosting algorithm.

Journal of biomedical informatics Jun 15, 2021
Electronic health records contain patient's information that can be used for health analytics tasks such as disease detection, disease progression prediction, patient profiling, etc. Traditional machine learning or deep learning methods treat EHR ent...
Electronic Health Records Machine Learning Prescriptions Humans Algorithms Neural Networks, Computer
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