AI and Face-Driven Orthodontics: A Scoping Review of Digital Advances in Diagnosis and Treatment Planning
J Tomášik, M Zsoldos, Ľ Oravcová, M Lifková… - AI, 2024 - mdpi.com
In the age of artificial intelligence (AI), technological progress is changing established
workflows and enabling some basic routines to be updated. In dentistry, the patient's face is …
workflows and enabling some basic routines to be updated. In dentistry, the patient's face is …
A systematic review of clinical health conditions predicted by machine learning diagnostic and prognostic models trained or validated using real-world primary health …
With the advances in technology and data science, machine learning (ML) is being rapidly
adopted by the health care sector. However, there is a lack of literature addressing the …
adopted by the health care sector. However, there is a lack of literature addressing the …
Postoperative Nausea and Vomiting Prediction: Machine Learning Insights from a Comprehensive Analysis of Perioperative Data
JH Kim, BR Cheon, MG Kim, SM Hwang, SY Lim… - Bioengineering, 2023 - mdpi.com
Postoperative nausea and vomiting (PONV) are common complications after surgery. This
study aimed to present the utilization of machine learning for predicting PONV and provide …
study aimed to present the utilization of machine learning for predicting PONV and provide …
Smart Solutions for Diet-Related Disease Management: Connected Care, Remote Health Monitoring Systems, and Integrated Insights for Advanced Evaluation
The prevalence of diet-related diseases underscores the imperative for innovative
management approaches. The deployment of smart solutions signifies a paradigmatic …
management approaches. The deployment of smart solutions signifies a paradigmatic …
Predicting Hypertension Among HIV Patients on Antiretroviral Therapy in Rural Eastern Cape, South Africa Using Machine Learning
U Tsuro, T Ncube, KE Oladimeji, TR Apalata - medRxiv, 2025 - medrxiv.org
Background: Hypertension continues to be a major challenge in developing countries like
South Africa, as it significantly contributes to the cardiovascular disease burden in these …
South Africa, as it significantly contributes to the cardiovascular disease burden in these …
Machine Learning-Based Monitoring and Prognosis of Chronic Kidney Disease Patients
SP Abhang, M Tarambale… - … for Innovations in …, 2023 - ieeexplore.ieee.org
The study is aimed at examining the use of ML techniques for detecting and forecasting CKD
progression. Experimental models were constructed utilizing the whole datasets including …
progression. Experimental models were constructed utilizing the whole datasets including …