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AI-driven predictive tools reshape diabetes care landscape

Artificial intelligence and predictive analytics are advancing diabetes prevention, diagnosis, and management by integrating data from continuous glucose monitors, electronic health records, and other ...
The Lancet

From prediction to navigation for artificial intelligence in medicine

Whether estimating the probability that a disease is present or forecasting risk of deterioration,1 readmission,2 or death,3 most contemporary clinical artificial intelligence (AI) systems are ...
The University of Alabama at Birmingham

Diabetes subtype app helps clinicians personalize treatment

UAB researchers have launched DiaClue, a free web-based tool that helps clinicians classify diabetes into five subtypes, ...
Journal of Medical Internet Research

Beyond Comparing Machine Learning and Logistic Regression in Clinical Prediction Modelling: Shifting from Model Debate to Data Quality

The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...
Frontiers

An explainable machine learning model predicts pediatric varicella encephalitis

Pediatric varicella encephalitis is a rare but serious complication of varicella, which has a significant impact on patient prognosis. Early clinical diagnosis is still challenging due to atypical ...
IEEE

Improving Accuracy of Diabetes Prediction Using Machine Learning Techniques and Clinical Data

Abstract: Diabetes is a chronic condition affecting millions of people globally, requiring early and accurate prediction to mitigate associated health risks. This study employed a Kaggle dataset with ...
IEEE

Diabetes Prediction using Machine Learning Techniques

Abstract: Machine learning is one of the most inspired zones of experimentation that is flatter progressively accepted in a health institution. This research work distributes with planned machine ...
The Lancet

Deep learning model for pathological invasiveness prediction using smartphone-based surgical resection images in clinical stage IA lung adenocarcinoma (SuRImage): a prospective ...

lDepartment of Surgery, Meizhou People’s Hospital, Meizhou, China mDepartment of General Practice, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People’s Hospital (Guangdong Academy ...