AIMC Topic: Cohort Studies
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An Improved Clinical and Genetics-Based Prediction Model for Diabetic Foot Ulcer Healing.
Advances in wound care
Mar 5, 2024
The goal of this investigation was to use comprehensive prediction modeling tools and available genetic information to try to improve upon the performance of simple clinical models in predicting whether a diabetic foot ulcer (DFU) will heal. We uti...
A machine learning algorithm-based predictive model for pressure injury risk in emergency patients: A prospective cohort study.
International emergency nursing
Mar 2, 2024
OBJECTIVES: To construct pressure injury risk prediction models for emergency patients based on different machine learning algorithms, to optimize the best model, and to provide a suitable assessment tool for preventing the occurrence of pressure inj...
Identifying predictors of the tooth loss phenotype in a large periodontitis patient cohort using a machine learning approach.
Journal of dentistry
Mar 2, 2024
OBJECTIVES: This study aimed to identify predictors associated with the tooth loss phenotype in a large periodontitis patient cohort in the university setting.
Artificial replication cohort: Leveraging AI-fabricated data for genetic studies.
Liver international : official journal of the International Association for the Study of the Liver
Mar 1, 2024
Recent advancements in artificial intelligence (AI) present both opportunities and challenges within the scientific community. This study explores the capability of AI to replicate findings from genetic research, focusing on findings from prior work....
Patient and dermatologists' perspectives on augmented intelligence for melanoma screening: A prospective study.
Journal of the European Academy of Dermatology and Venereology : JEADV
Feb 27, 2024
BACKGROUND: Artificial intelligence (AI) shows promising potential to enhance human decision-making as synergistic augmented intelligence (AuI), but requires critical evaluation for skin cancer screening in a real-world setting.
Placental differences between severe fetal growth restriction and hypertensive disorders of pregnancy requiring early preterm delivery: morphometric analysis of the villous tree supported by artificial intelligence.
American journal of obstetrics and gynecology
Feb 27, 2024
BACKGROUND: The great obstetrical syndromes of fetal growth restriction and hypertensive disorders of pregnancy can occur individually or be interrelated. Placental pathologic findings often overlap between these conditions, regardless of whether 1 o...
An advanced machine learning method for simultaneous breast cancer risk prediction and risk ranking in Chinese population: A prospective cohort and modeling study.
Chinese medical journal
Feb 26, 2024
BACKGROUND: Breast cancer (BC) risk-stratification tools for Asian women that are highly accurate and can provide improved interpretation ability are lacking. We aimed to develop risk-stratification models to predict long- and short-term BC risk amon...
Multicentre validation of a machine learning model for predicting respiratory failure after noncardiac surgery.
British journal of anaesthesia
Feb 26, 2024
BACKGROUND: Postoperative respiratory failure is a serious complication that could benefit from early accurate identification of high-risk patients. We developed and validated a machine learning model to predict postoperative respiratory failure, def...
Dietary patterns associated with the incidence of hypertension among adult Japanese males: application of machine learning to a cohort study.
European journal of nutrition
Feb 25, 2024
PURPOSE: The previous studies that examined the effectiveness of unsupervised machine learning methods versus traditional methods in assessing dietary patterns and their association with incident hypertension showed contradictory results. Consequentl...
Deep Learning Prediction of Cervical Spine Surgery Revision Outcomes Using Standard Laboratory and Operative Variables.
World neurosurgery
Feb 24, 2024
BACKGROUND: Cervical spine procedures represent a major proportion of all spine surgery. Mitigating the revision rate following cervical procedures requires careful patient selection. While complication risk has successfully been predicted, revision ...
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