[Differential diagnosis of autism spectrum disorder and global developmental delay based on machine learning and Children Neuropsychological and Behavioral Scale].
Gang Zhou et al. Zhongguo Dang Dai Er Ke Za Zhi 2023 25(10) 1028-1033

From cancer big data to treatment: Artificial intelligence in cancer research.
Danishuddin et al. J Gene Med 2023 e3629

Delta radiomics analysis for prediction of intermediary- and high-risk factors for patients with locally advanced cervical cancer receiving neoadjuvant therapy.
Rong-Rong Wu et al. Sci Rep 2023 13(1) 19409

Skin cancer diagnosis (SCD) using Artificial Neural Network (ANN) and Improved Gray Wolf Optimization (IGWO).
Wanqi Lai et al. Sci Rep 2023 13(1) 19377

ML-DSTnet: A Novel Hybrid Model for Breast Cancer Diagnosis Improvement Based on Image Processing Using Machine Learning and Dempster-Shafer Theory.
Mohsen Eftekharian et al. Comput Intell Neurosci 2023 20237510419

Artificial Intelligence-Driven Mammography-Based Future Breast Cancer Risk Prediction: A Systematic Review.
Cody M Schopf et al. J Am Coll Radiol 2023

Population-wide evaluation of artificial intelligence and radiologist assessment of screening mammograms.
Johanne Kühl et al. Eur Radiol 2023

Machine learning-based prediction models for parathyroid carcinoma using pre-surgery cognitive function and clinical features.
Yuting Wang et al. Sci Rep 2023 13(1) 19007

Evaluation of a Natural Language Processing Model to Identify and Characterize Patients in the United States With High-Risk Non-Muscle-Invasive Bladder Cancer.
Vikram M Narayan et al. JCO Clin Cancer Inform 2023 7e2300096

Deep Learning Radiomics Nomogram Based on Enhanced CT to Predict the Response of Metastatic Lymph Nodes to Neoadjuvant Chemotherapy in Locally Advanced Gastric Cancer.
Hao Zhong et al. Ann Surg Oncol 2023

A machine learning-based prediction model of pelvic lymph node metastasis in women with early-stage cervical cancer.
Kamonrat Monthatip et al. J Gynecol Oncol 2023

Use of artificial intelligence to identify patients to be assessed in a breast clinic on 2-week wait: a retrospective cohort study.
Ahsan Rao et al. Ann Med Surg (Lond) 2023 85(11) 5459-5463

Wearable Artificial Intelligence for Detecting Anxiety: Systematic Review and Meta-Analysis.
Alaa Abd-Alrazaq et al. J Med Internet Res 2023 25e48754

Machine learning model to estimate probability of remission in patients with idiopathic membranous nephropathy.
Lijin Duo et al. Int Immunopharmacol 2023 125(Pt A) 111126

Predicting mild cognitive impairment among Chinese older adults: a longitudinal study based on long short-term memory networks and machine learning.
Yucheng Huang et al. Front Aging Neurosci 2023 151283243

A holistic approach to integrating patient, family, and lived experience voices in the development of the BrainHealth Databank: a digital learning health system to enable artificial intelligence in the clinic.
Joanna Yu et al. Front Health Serv 2023 31198195

A Mobile App That Addresses Interpretability Challenges in Machine Learning-Based Diabetes Predictions: Survey-Based User Study.
Rasha Hendawi et al. JMIR Form Res 2023 7e50328

Metabolic syndrome prediction using non-invasive and dietary parameters based on a support vector machine.
Sahar Mohseni-Takalloo et al. Nutr Metab Cardiovasc Dis 2023

Predicting multiple sclerosis severity with multimodal deep neural networks.
Kai Zhang et al. BMC Med Inform Decis Mak 2023 23(1) 255

Artificial intelligence and machine learning for improving glycemic control in diabetes: best practices, pitfalls and opportunities.
Peter G Jacobs et al. IEEE Rev Biomed Eng 2023 PP

Longitudinal Trajectories of Glycemic Control among U.S. Adults with Newly Diagnosed Diabetes.
Rozalina G McCoy et al. Diabetes Res Clin Pract 2023 110989

Contemporary Role and Applications of Artificial Intelligence in Dentistry.
Talal Bonny et al. F1000Res 2023 121179

A Framework to Guide Implementation of AI in Health Care: Protocol for a Cocreation Research Project.
Per Nilsen et al. JMIR Res Protoc 2023 12e50216

A framework for integrating artificial intelligence for clinical care with continuous therapeutic monitoring.
Emma Chen et al. Nat Biomed Eng 2023

Early prognostication of critical patients with spinal cord injury: A machine learning study with 1485 cases.
Guoxin Fan et al. Spine (Phila Pa 1976) 2023

Systematic reviews of machine learning in healthcare: a literature review.
Katarzyna Kolasa et al. Expert Rev Pharmacoecon Outcomes Res 2023

Best practices for artificial intelligence and machine learning for computer-aided diagnosis in medical imaging.
Daniel Vergara et al. J Am Coll Radiol 2023

The Accuracy and Potential Racial and Ethnic Biases of GPT-4 in the Diagnosis and Triage of Health Conditions: Evaluation Study.
Naoki Ito et al. JMIR Med Educ 2023 9e47532

Machine learning-based prediction of symptomatic intracerebral hemorrhage after intravenous thrombolysis for stroke: a large multicenter study.
Rui Wen et al. Front Neurol 2023 141247492

Deep-learning-based natural-language-processing models to identify cardiovascular disease hospitalisations of patients with diabetes from routine visits' text.
Alessandro Guazzo et al. Sci Rep 2023 13(1) 19132

Echocardiography-Based Deep Learning Model to Differentiate Constrictive Pericarditis and Restrictive Cardiomyopathy.
Chieh-Ju Chao et al. JACC Cardiovasc Imaging 2023

Developing a hypertension visualization risk prediction system utilizing machine learning and health check-up data.
Jinsong Du et al. Sci Rep 2023 13(1) 18953

The Impact of Artificial Intelligence on Coronary Imaging … and Beyond.
Paul Beninger et al. Clin Ther 2023

High-Throughput Phenotypic Screening and Machine Learning Methods Enabled the Selection of Broad-Spectrum Low-Toxicity Antitrypanosomatidic Agents.
Pasquale Linciano et al. J Med Chem 2023

Application of machine learning for mortality prediction in patients with candidemia: Feasibility verification and comparison with clinical severity scores.
Wei-Huan Hu et al. Mycoses 2023

Harnessing artificial intelligence to enhance key surveillance and response measures for arbovirus disease outbreaks: the exemplar of Australia.
Andrew W Taylor-Robinson et al. Front Microbiol 2023 141284838

A Machine Learning Approach to Predict Weight Change in ART-Experienced People Living With HIV.
Federico Motta et al. J Acquir Immune Defic Syndr 2023 94(5) 474-481

The Transformative Potential of AI in Obstetrics and Gynecology.
Kevin Dick et al. J Obstet Gynaecol Can 2023 102277

Establishment of a model for predicting preterm birth based on the machine learning algorithm.
Yao Zhang et al. BMC Pregnancy Childbirth 2023 23(1) 779