Development of pediatric acute care education (PACE): An adaptive electronic learning (e-learning) environment for healthcare providers in Tanzania.
Peter Andrew Meaney et al. Digit Health 2023 920552076231180471

A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics.
Hari Mohan Rai et al. J Cancer Res Clin Oncol 2023

Diagnostic efficiency of multi-modal MRI based deep learning with Sobel operator in differentiating benign and malignant breast mass lesions-a retrospective study.
Weixia Tang et al. PeerJ Comput Sci 2023 9e1460

Standardized classification of lung adenocarcinoma subtypes and improvement of grading assessment through deep learning.
Kris Lami et al. Am J Pathol 2023

Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study.
Kristina Lång et al. Lancet Oncol 2023 24(8) 936-944

Multi-center evaluation of machine learning-based radiomic model in predicting disease free survival and adjuvant chemotherapy benefit in stage II colorectal cancer patients.
Hui Zhu et al. Cancer Imaging 2023 23(1) 74

Deep learning-enhanced radiomics for histologic classification and grade stratification of stage IA lung adenocarcinoma: a multicenter study.
Guotian Pei et al. Front Oncol 2023 131224455

Preoperative prediction of sinonasal papilloma by artificial intelligence using nasal video endoscopy: a retrospective study.
Ryosuke Yui et al. Sci Rep 2023 13(1) 12439

The effect of personalized intelligent digital systems for self-care training on type II diabetes: a systematic review and meta-analysis of clinical trials.
Mozhgan Tanhapour et al. Acta Diabetol 2023

Machine learning models for diagnosis and prognosis of Parkinson's disease using brain imaging: general overview, main challenges, and future directions.
Beatriz Garcia Santa Cruz et al. Front Aging Neurosci 2023 151216163

Efficacy of deep learning-based artificial intelligence models in screening and referring patients with diabetic retinopathy and glaucoma.
Janani Surya et al. Indian J Ophthalmol 2023 71(8) 3039-3045

Precision medicine-based machine learning analyses to explore optimal exercise therapies for individuals with knee osteoarthritis: Random Forest Informed Tree-based Learning.
Siyeon Kim et al. J Rheumatol 2023

Fairness of artificial intelligence in healthcare: review and recommendations.
Daiju Ueda et al. Jpn J Radiol 2023

Biomedical Ethical Aspects Towards the Implementation of Artificial Intelligence in Medical Education.
Felix Busch et al. Med Sci Educ 2023 33(4) 1007-1012

Improving Mortality Risk Prediction with Routine Clinical Data: A Practical Machine Learning Model Based on eICU Patients.
Shangping Zhao et al. Int J Gen Med 2023 163151-3161

Smart Smile: Revolutionizing Dentistry With Artificial Intelligence.
Ashwini Dhopte et al. Cureus 2023 15(6) e41227

Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform.
Chan Wang et al. Bioelectron Med 2023 9(1) 17

Artificial intelligence for home monitoring devices.
Tiarnan D L Keenan et al. Curr Opin Ophthalmol 2023

Artificial intelligence and the work-health interface: A research agenda for a technologically transforming world of work.
Arif Jetha et al. Am J Ind Med 2023

Machine learning based suicidality risk prediction in early adolescence.
Xue Wen et al. Asian J Psychiatr 2023 88103716

Revolutionising Impacts of Artificial Intelligence on Health Care System and Its Related Medical In-Transparencies.
Ayesha Saadat et al. Ann Biomed Eng 2023

Spatial Clusters of Cancer Mortality in Brazil: A Machine Learning Modeling Approach.
Bruno Casaes Teixeira et al. Int J Public Health 2023 681604789

Artificial Intelligence in pathology: current applications, limitations, and future directions.
Akhil Sajithkumar et al. Ir J Med Sci 2023

Added value of an artificial intelligence algorithm in reducing the number of missed incidental acute pulmonary embolism in routine portal venous phase chest CT.
Eline Langius-Wiffen et al. Eur Radiol 2023

Automatic extraction of coronary arteries using deep learning in invasive coronary angiograms.
Yinghui Meng et al. Technol Health Care 2023

Machine learning for the development of diagnostic models of decompensated heart failure or exacerbation of chronic obstructive pulmonary disease.
César Gálvez-Barrón et al. Sci Rep 2023 13(1) 12709

An artificial intelligence algorithm for pulmonary embolism detection on polychromatic computed tomography: performance on virtual monochromatic images.
Eline Langius-Wiffen et al. Eur Radiol 2023

A machine learning diagnostic model for Pneumocystis jirovecii pneumonia in patients with severe pneumonia.
Xiaoqian Li et al. Intern Emerg Med 2023

Developing a nomogram for predicting depression in diabetic patients after COVID-19 using machine learning.
Haewon Byeon et al. Front Public Health 2023 111150818

Utility of Machine Learning to Detect Cytomegalovirus in Digital Hematoxylin and Eosin-Stained Slides.
Corey S Post et al. Lab Invest 2023 100225

A machine learning model for distinguishing Kawasaki disease from sepsis.
Chi Li et al. Sci Rep 2023 13(1) 12553