AIMC Topic: Patients

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Deep Learning Algorithm for Tumor Segmentation and Discrimination of Clinically Significant Cancer in Patients with Prostate Cancer.

Current oncology (Toronto, Ont.) Aug 1, 2023
BACKGROUND: We investigated the feasibility of a deep learning algorithm (DLA) based on apparent diffusion coefficient (ADC) maps for the segmentation and discrimination of clinically significant cancer (CSC, Gleason score ≥ 7) from non-CSC in patien...
Humans Algorithms Prostatic Neoplasms Patients Male Deep Learning
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Can the Electronic Health Record Predict Risk of Falls in Hospitalized Patients by Using Artificial Intelligence? A Meta-analysis.

Computers, informatics, nursing : CIN Jul 1, 2023
Because of an aging population worldwide, the increasing prevalence of falls and their consequent injuries are becoming a safety, health, and social-care issue among elderly people. We conducted a meta-analysis to investigate the benchmark of predict...
Accidental Falls Patients Artificial Intelligence Electronic Health Records Aged Humans Sensitivity and Specificity
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Non-invasive localization of the ventricular excitation origin without patient-specific geometries using deep learning.

Artificial intelligence in medicine Jun 28, 2023
Cardiovascular diseases account for 17 million deaths per year worldwide. Of these, 25% are categorized as sudden cardiac death, which can be related to ventricular tachycardia (VT). This type of arrhythmia can be caused by focal activation sources o...
Neural Networks, Computer Physicians Humans Deep Learning Patients
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CORR Insights®: Does the SORG Machine-learning Algorithm for Extremity Metastases Generalize to a Contemporary Cohort of Patients? Temporal Validation From 2016 to 2020.

Clinical orthopaedics and related research Jun 19, 2023
Algorithms Retrospective Studies Humans Machine Learning Extremities Patients
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Representation of time-varying and time-invariant EMR data and its application in modeling outcome prediction for heart failure patients.

Journal of biomedical informatics Jun 18, 2023
OBJECTIVE: To represent a patient record with both time-invariant and time-varying features as a single vector using an end-to-end deep learning model, and further to predict the kidney failure (KF) status and mortality of heart failure (HF) patients...
Heart Failure Patients Prognosis Comorbidity Humans Machine Learning
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The Use of Machine Learning for Inferencing the Effectiveness of a Rehabilitation Program for Orthopedic and Neurological Patients.

International journal of environmental research and public health Apr 19, 2023
Advance assessment of the potential functional improvement of patients undergoing a rehabilitation program is crucial in developing precision medicine tools and patient-oriented rehabilitation programs, as well as in better allocating resources in ho...
Machine Learning Algorithms Activities of Daily Living Patients Humans Artificial Intelligence
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Priorities for Artificial Intelligence Applications in Primary Care: A Canadian Deliberative Dialogue with Patients, Providers, and Health System Leaders.

Journal of the American Board of Family Medicine : JABFM Mar 22, 2023
BACKGROUND: Artificial intelligence (AI) implementation in primary care is limited. Those set to be most impacted by AI technology in this setting should guide it's application. We organized a national deliberative dialogue with primary care stakehol...
Canada Patients Decision Support Systems, Clinical Artificial Intelligence Primary Health Care Humans
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Persuading Patients Using Rhetoric to Improve Artificial Intelligence Adoption: Experimental Study.

Journal of medical Internet research Mar 13, 2023
BACKGROUND: Artificial intelligence (AI) can transform health care processes with its increasing ability to translate complex structured and unstructured data into actionable clinical decisions. Although it has been established that AI is much more e...
Humans Artificial Intelligence Communication Trust Privacy Patients
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A multistage multimodal deep learning model for disease severity assessment and early warnings of high-risk patients of COVID-19.

Frontiers in public health Nov 22, 2022
The outbreak of coronavirus disease 2019 (COVID-19) has caused massive infections and large death tolls worldwide. Despite many studies on the clinical characteristics and the treatment plans of COVID-19, they rarely conduct in-depth prognostic resea...
Deep Learning Patient Acuity Patients COVID-19 Disease Outbreaks Humans
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Reply to: Letter to the Editor: Comment on ''Radiomics with Artificial Intelligence for the Prediction of Early Recurrence in Patients with Clinical Stage IA Lung Cancer'' by Usuzaki, Takuma et al.

Annals of surgical oncology Nov 14, 2022
Lung Neoplasms Chronic Disease Artificial Intelligence Humans Patients
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