Machine Learning-Based Prediction of Attention-Deficit/Hyperactivity Disorder and Sleep Problems With Wearable Data in Children.
Won-Pyo Kim et al. JAMA network open 2023 6(3) e233502

Exploring potential barriers in equitable access to pediatric diagnostic imaging using machine learning.
Maryam Taheri-Shirazi et al. Frontiers in public health 2023 11968319

Artificial intelligence promotes shared decision-making through recommending tests to febrile pediatric outpatients.
Wei-Hua Li et al. World journal of emergency medicine 2023 14(2) 106-111

Using Recurrent Neural Networks to Extract High-Quality Information From Lung Cancer Screening Computerized Tomography Reports for Inter-Radiologist Audit and Feedback Quality Improvement.
Yucheng Zhang et al. JCO clinical cancer informatics 2023 7e2200153

Recalibration of a Deep Learning Model for Low-Dose Computed Tomographic Images to Inform Lung Cancer Screening Intervals.
Rebecca Landy et al. JAMA network open 2023 6(3) e233273

An easy-to-use artificial intelligence preoperative lymph node metastasis predictor (LN-MASTER) in rectal cancer based on a privacy-preserving computing platform: multicenter retrospective cohort study.
Xu Guan et al. International journal of surgery (London, England) 2023

Assessment of the implementation context in preparation for a clinical study of machine-learning algorithms to automate the classification of digital cervical images for cervical cancer screening in resource-constrained settings.
Delivette Castor et al. Frontiers in health services 2023 21000150

Convolutional Neural Network Quantification of Gleason Pattern 4 and Association with Biochemical Recurrence in Intermediate Grade Prostate Tumors.
Yalei Chen et al. Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc 2023 100157

Exploring the potential of artificial intelligence in improving skin lesion diagnosis in primary care.
Anna Escalé-Besa et al. Scientific reports 2023 13(1) 4293

Value of contrast-enhanced magnetic resonance imaging-T2WI-based radiomic features in distinguishing lung adenocarcinoma from lung squamous cell carcinoma with solid components >8 mm.
Maoyuan Yang et al. Journal of thoracic disease 2023 15(2) 635-648

Reproducible and Clinically Translatable Deep Neural Networks for Cancer Screening.
Syed Rakin Ahmed et al. Research square 2023

Artificial intelligence-based multi-class histopathologic classification of kidney neoplasms.
Dibson D Gondim et al. Journal of pathology informatics 2023 14100299

A deep learning model for lymph node metastasis prediction based on digital histopathological images of primary endometrial cancer.
Min Feng et al. Quantitative imaging in medicine and surgery 2023 13(3) 1899-1913

A predictive model for personalization of nanotechnology-based phototherapy in cancer treatment.
Eli Varon et al. Frontiers in oncology 2023 121037419

Artificial intelligence in oncology: chances and pitfalls.
Jakob Nikolas Kather et al. Journal of cancer research and clinical oncology 2023

An overview and a roadmap for artificial intelligence in hematology and oncology.
Wiebke Rösler et al. Journal of cancer research and clinical oncology 2023

Expanding inclusion criteria for active surveillance in intermediate-risk prostate cancer: a machine learning approach.
Michael Baboudjian et al. World journal of urology 2023

Improving bowel preparation for colonoscopy with a smartphone application driven by artificial intelligence.
Yan Zhu et al. NPJ digital medicine 2023 6(1) 41

Clinical Application of Artificial Intelligence for Non-melanoma Skin Cancer.
Katherine Sanchez et al. Current treatment options in oncology 2023 1-7

Using machine learning algorithm to predict the risk of post-traumatic stress disorder among firefighters in Changsha.
Aoqian Deng et al. Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences 2023 48(1) 84-91

Identification of patients with epilepsy using automated electronic health records phenotyping.
Marta Fernandes et al. Epilepsia 2023

Artificial Intelligence-Based Psoriasis Severity Assessment: Real-world Study and Application.
Kai Huang et al. Journal of medical Internet research 2023 25e44932

Can Patients with Dementia Be Identified in Primary Care Electronic Medical Records Using Natural Language Processing?
Laura C Maclagan et al. Journal of healthcare informatics research 2023 7(1) 42-58

Artificial Intelligence for Dementia Research Methods Optimization.
Magda Bucholc et al. ArXiv 2023

High-dimensional machine learning to predict hospital readmission among older people with chronic kidney disease: abridged secondary publication.
Q Zhang et al. Hong Kong medical journal = Xianggang yi xue za zhi 2023 29 Suppl 1(1) 24-26

Digital health in musculoskeletal care: where are we heading?
Latika Gupta et al. BMC musculoskeletal disorders 2023 24(1) 192

Development and Assessment of Assisted Diagnosis Models Using Machine Learning for Identifying Elderly Patients With Malnutrition: Cohort Study.
Xue Wang et al. Journal of medical Internet research 2023 25e42435

The Effectiveness of Wearable Devices Using Artificial Intelligence for Blood Glucose Level Forecasting or Prediction: Systematic Review.
Arfan Ahmed et al. Journal of medical Internet research 2023 25e40259

Use of Big Data and Ethical Issues for Populations with Substance Use Disorder.
Elizabeth Evans et al. Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research 2023

[Artificial intelligence in medicine: present and future].
Dioselina Lanzagorta-Ortega et al. Gaceta medica de Mexico 2023 158(Suplement 1) 17-21

Associations Between Natural Language Processing-Enriched Social Determinants of Health and Suicide Death Among US Veterans.
Avijit Mitra et al. JAMA network open 2023 6(3) e233079

Artificial Intelligence Applied to clinical trials: opportunities and challenges.
Scott Askin et al. Health and technology 2023 13(2) 203-213

Teaching old tools new tricks-preparing emergency medicine for the impact of machine learning-based risk prediction models.
Vinyas Harish et al. CJEM 2023

Improved Decision Making for Water Lead Testing in U.S. Child Care Facilities Using Machine-Learned Bayesian Networks.
Riley E Mulhern et al. Environmental science & technology 2023

Characterizing Female Firearm Suicide Circumstances: A Natural Language Processing and Machine Learning Approach.
Evan V Goldstein et al. American journal of preventive medicine 2023

Can we design the next generation of digital health communication programs by leveraging the power of artificial intelligence to segment target audiences, bolster impact and deliver differentiated services? A machine learning analysis of survey data from rural India.
Jean Juste Harrisson Bashingwa et al. BMJ open 2023 13(3) e063354

Development of a Machine Learning Model to Estimate US Firearm Homicides in Near Real Time.
Elizabeth A Swedo et al. JAMA network open 2023 6(3) e233413

Realizing the potential of artificial intelligence in healthcare: Learning from intervention, innovation, implementation and improvement sciences.
Per Nilsen et al. Frontiers in health services 2023 2961475

Attitudes, knowledge, and skills towards artificial intelligence among healthcare students: A systematic review.
Seyyedeh Fatemeh Mousavi Baigi et al. Health science reports 2023 6(3) e1138

Prediction of patient choice tendency in medical decision-making based on machine learning algorithm.
Yuwen Lyu et al. Frontiers in public health 2023 111087358

Development of a Multibiomarker Panel of Healthy Eating Index in United States Adults: A Machine Learning Approach.
Shuang Liang et al. The Journal of nutrition 2023 153(1) 385-392

HExpPredict: In Vivo Exposure Prediction of Human Blood Exposome Using a Random Forest Model and Its Application in Chemical Risk Prioritization.
Fanrong Zhao et al. Environmental health perspectives 2023 131(3) 37009

Addressing the Challenges of Implementing Artificial Intelligence Tools in Clinical Practice: Principles From Experience.
Bernardo C Bizzo et al. Journal of the American College of Radiology : JACR 2023 20(3) 352-360

Development and Clinical Evaluation of an Artificial Intelligence Support Tool for Improving Telemedicine Photo Quality.
Kailas Vodrahalli et al. JAMA dermatology 2023

Developing a machine learning model to detect diagnostic uncertainty in clinical documentation.
Trisha L Marshall et al. Journal of hospital medicine 2023

Evaluation of boundaries between mood and psychosis disorder using dynamic functional network connectivity (dFNC) via deep learning classification.
Hooman Rokham et al. Human brain mapping 2023

Artificial intelligence CAD tools in trauma imaging: a scoping review from the American Society of Emergency Radiology (ASER) AI/ML Expert Panel.
David Dreizin et al. Emergency radiology 2023

A Machine-Learning Approach to Assess Factors Associated With Hospitalization of Children and Youths in Psychiatric Crisis.
Yen-Ling Chen et al. Psychiatric services (Washington, D.C.) 2023 appips20220201

Artificial intelligence for secondary prevention of myocardial infarction: A qualitative study of patient and health professional perspectives.
Melissa Pelly et al. International journal of medical informatics 2023 173105041

Deep Learning for Improved Precision and Reproducibility of Left Ventricular Strain in Echocardiography: A Test-Retest Study.
Ivar M Salte et al. Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography 2023

SERS spectroscopy with machine learning to analyze human plasma derived sEVs for coronary artery disease diagnosis and prognosis.
Xi Huang et al. Bioengineering & translational medicine 2023 8(2) e10420

Artificial intelligence guidance of advanced heart failure therapies: A systematic scoping review.
Mohammad A Al-Ani et al. Frontiers in cardiovascular medicine 2023 101127716

The predictors of death within 1 year in acute ischemic stroke patients based on machine learning.
Kai Wang et al. Frontiers in neurology 2023 141092534

Development and validation of machine learning models for postoperative venous thromboembolism prediction in colorectal cancer inpatients: a retrospective study.
Li Qin et al. Journal of gastrointestinal oncology 2023 14(1) 220-232

Role of artificial intelligence and machine learning in interventional cardiology.
Shoaib Subhan et al. Current problems in cardiology 2023 101698

Implementation of deep learning artificial intelligence in vision-threatening disease screenings for an underserved community during COVID-19.
Aretha Zhu et al. Journal of telemedicine and telecare 2023 1357633X231158832

Development and validation of a simple machine learning tool to predict mortality in leptospirosis.
Gabriela Studart Galdino et al. Scientific reports 2023 13(1) 4506

Machine learning approaches in diagnosing tuberculosis through biomarkers - A systematic review.
Vimala Balakrishnan et al. Progress in biophysics and molecular biology 2023 17916-25

CCTCOVID: COVID-19 detection from chest X-ray images using Compact Convolutional Transformers.
Abdolreza Marefat et al. Frontiers in public health 2023 111025746

Learning meaningful latent space representations for patient risk stratification: Model development and validation for dengue and other acute febrile illness.
Bernard Hernandez et al. Frontiers in digital health 2023 51057467

The development of a novel natural language processing tool to identify pediatric chest radiograph reports with pneumonia.
Nancy Rixe et al. Frontiers in digital health 2023 51104604

Next Generation Infectious Diseases Monitoring Gages via Incremental Federated Learning: Current Trends and Future Possibilities.
Iqra Javed et al. Computational intelligence and neuroscience 2023 20231102715

An artificial intelligence approach for predicting death or organ failure after hospitalization for COVID-19: development of a novel risk prediction tool and comparisons with ISARIC-4C, CURB-65, qSOFA, and MEWS scoring systems.
Stephen Wai Hang Kwok et al. Respiratory research 2023 24(1) 79

Data-Driven Technologies as Enablers for Value Creation in the Prevention of Surgical Site Infections: a Systematic Review.
Luís Irgang et al. Journal of healthcare informatics research 2023 7(1) 1-41

A Comprehensive Review of the Role of Artificial Intelligence in Obstetrics and Gynecology.
Sagar N Malani et al. Cureus 2023 15(2) e34891

A machine learning approach for early prediction of gestational diabetes mellitus using elemental contents in fingernails.
Yun-Nam Chan et al. Scientific reports 2023 13(1) 4184