Machine Learning Improves the Accuracy of Trauma Team Activation Level Assignments in Pediatric Patients.
Catherine W Liu et al. J Pediatr Surg 2023

Artificial Intelligence Applications in Diagnosing and Managing Non-syndromic Craniosynostosis: A Comprehensive Review.
Amna Qamar et al. Cureus 2023 15(9) e45318

Development and validation of a fully automatic tissue delineation model for brain metastasis using a deep neural network.
Jie-Yi Zhao et al. Quant Imaging Med Surg 2023 13(10) 6724-6734

Machine Learning-Based Early Warning Systems for Acute Care Utilization During Systemic Therapy for Cancer.
Robert C Grant et al. J Natl Compr Canc Netw 2023 21(10) 1029-1037.e21

Development of a deep learning model for early gastric cancer diagnosis using preoperative computed tomography images.
Zhihong Gao et al. Front Oncol 2023 131265366

A new prognostic model of esophageal squamous cell carcinoma based on Cloud-least squares support vector machine.
Ke Liu et al. J Thorac Dis 2023 15(9) 4938-4948

Machine Learning Techniques to Predict Timeliness of Care among Lung Cancer Patients.
Arul Earnest et al. Healthcare (Basel) 2023 11(20)

Development of machine learning prognostic models for overall survival of prostate cancer patients with lymph node-positive.
Zi-He Peng et al. Sci Rep 2023 13(1) 18424

Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans.
Ward Hendrix et al. Commun Med (Lond) 2023 3(1) 156

The Role of Artificial Intelligence in Prospective Real-Time Histological Prediction of Colorectal Lesions during Colonoscopy: A Systematic Review and Meta-Analysis.
Bhamini Vadhwana et al. Diagnostics (Basel) 2023 13(20)

Development and validation of an artificial intelligence prediction model and a survival risk stratification for lung metastasis in colorectal cancer from highly imbalanced data: A multicenter retrospective study.
Weiyuan Zhang et al. Eur J Surg Oncol 2023 49(12) 107107

Predicting diagnosis and survival of bone metastasis in breast cancer using machine learning.
Xugang Zhong et al. Sci Rep 2023 13(1) 18301

Clinician-Driven AI: Code-Free Self-Training on Public Data for Diabetic Retinopathy Referral.
Edward Korot et al. JAMA Ophthalmol 2023

Artificial intelligence for automated detection of diabetic foot ulcers: A real-world proof-of-concept clinical evaluation.
Bill Cassidy et al. Diabetes Res Clin Pract 2023 205110951

Artificial intelligence in osteoarthritis detection: a systematic review and meta-analysis.
Soheil Mohammadi et al. Osteoarthritis Cartilage 2023

Detection and Classification of Diabetic Macular Edema with a Desktop-Based Code-Free Machine Learning Tool.
Furkan Kirik et al. Turk J Ophthalmol 2023 53(5) 301-306

Multi-Level Ethical Considerations of Artificial Intelligence Health Monitoring for People Living with Parkinson's Disease.
Anita Ho et al. AJOB Empir Bioeth 2023 1-14

A diagnostic approach integrated multimodal radiomics with machine learning models based on lumbar spine CT and X-ray for osteoporosis.
Liwei Cheng et al. J Bone Miner Metab 2023

Construction of an Early Alert System for Intradialytic Hypotension before Initiating Hemodialysis Based on Machine Learning.
Daqing Hong et al. Kidney Dis (Basel) 2023 9(5) 433-442

Implementing a Novel Machine Learning System for Nutrition Education in Diabetes Mellitus Nutritional Clinic: Predicting 1-Year Blood Glucose Control.
Mei-Yuan Liu et al. Bioengineering (Basel) 2023 10(10)

Osteoporosis Prediction Using Machine-Learned Optical Bone Densitometry Data.
Kaname Miura et al. Ann Biomed Eng 2023

Ethical and legal implications of implementing risk algorithms for early detection and screening for oesophageal cancer, now and in the future.
Tanya Brigden et al. PLoS One 2023 18(10) e0293576

Technical/Algorithm, Stakeholder, and Society (TASS) Barriers to the Application of Artificial Intelligence in Medicine: A Systematic Review.
Linda T Li et al. J Biomed Inform 2023 104531

A Real-Time Automated Machine Learning Algorithm for Predicting Mortality in Trauma Patients: Survey Says it's Ready for Prime-Time.
Caroline Park et al. Am Surg 2023 31348231207299

Predicting Dental Caries Outcomes in Young Adults Using Machine Learning Approach.
Chukwuebuka Ogwo et al. Res Sq 2023

Machine Learning Models for Predicting Sudden Sensorineural Hearing Loss Outcome: A Systematic Review.
Amirhossein Aghakhani et al. Ann Otol Rhinol Laryngol 2023 34894231206902

Using machine learning with passive wearable sensors to pilot the detection of eating disorder behaviors in everyday life.
C Ralph-Nearman et al. Psychol Med 2023 1-7

Artificial Intelligence in Healthcare: Perception and Reality.
Abidemi O Akinrinmade et al. Cureus 2023 15(9) e45594

Continuous Assessment of Function and Disability via Mobile Sensing: Real-World Data-Driven Feasibility Study.
Emese Sükei et al. JMIR Form Res 2023 7e47167

Bone Age Estimation and Prediction of Final Adult Height Using Deep Learning.
Junghwan Suh et al. Yonsei Med J 2023 64(11) 679-686

Acute pancreatitis: A review of diagnosis, severity prediction and prognosis assessment from imaging technology, scoring system and artificial intelligence.
Jian-Xiong Hu et al. World J Gastroenterol 2023 29(37) 5268-5291

Temporal Generalizability of Machine Learning Models for Predicting Postoperative Delirium Using Electronic Health Record Data: Model Development and Validation Study.
Koutarou Matsumoto et al. JMIR Perioper Med 2023 6e50895

Advances and opportunities in the new digital era of telemedicine, e-health, artificial intelligence, and beyond.
H H X Wang et al. Hong Kong Med J 2023 29(5) 380-382

Artificial intelligence-enhanced 12-lead electrocardiography for identifying atrial fibrillation during sinus rhythm (AIAFib) trial: protocol for a multicenter retrospective study.
Yong-Soo Baek et al. Front Cardiovasc Med 2023 101258167

The predictive value of machine learning for mortality risk in patients with acute coronary syndromes: a systematic review and meta-analysis.
Xiaoxiao Zhang et al. Eur J Med Res 2023 28(1) 451

Artificial Intelligence in the Prevention and Detection of Cardiovascular Disease.
Harris Z Whiteson et al. Cardiol Rev 2023

The Price of Explainability in Machine Learning Models for 100-Day Readmission Prediction in Heart Failure: Retrospective, Comparative, Machine Learning Study.
Amira Soliman et al. J Med Internet Res 2023 25e46934

Detecting transthyretin amyloid cardiomyopathy (ATTR-CM) using machine learning: an evaluation of the performance of an algorithm in a UK setting.
Carmen Tsang et al. BMJ Open 2023 13(10) e070028

Diagnostic accuracy of point-of-care ultrasound with artificial intelligence-assisted assessment of left ventricular ejection fraction.
Pouya Motazedian et al. NPJ Digit Med 2023 6(1) 201

Interpretable machine learning models for predicting venous thromboembolism in the intensive care unit: an analysis based on data from 207 centers.
Chengfu Guan et al. Crit Care 2023 27(1) 406

Computer-aided diagnosis of chest X-ray for COVID-19 diagnosis in external validation study by radiologists with and without deep learning system.
Aki Miyazaki et al. Sci Rep 2023 13(1) 17533

Development and validation of a diagnostic model to differentiate spinal tuberculosis from pyogenic spondylitis by combining multiple machine learning algorithms.
Chengqian Huang et al. Biomol Biomed 2023