Machine learning-based prediction of surgical benefit in borderline resectable and locally advanced pancreatic cancer.
Leiming Zhang et al. J Cancer Res Clin Oncol 2023

Comparing artificial intelligence to humans for endoscopic diagnosis of gastric neoplasia: An external validation study.
Sabrina Xin Zi Quek et al. J Gastroenterol Hepatol 2023

Estimating Risk of Locoregional Failure and Overall Survival in Anal Cancer Following Chemoradiation: A Machine Learning Approach.
Kevin A Chen et al. J Gastrointest Surg 2023

Explainable Artificial Intelligence to Identify Dosimetric Predictors of Toxicity in Patients with Locally Advanced Non-Small Cell Lung Cancer: A Secondary Analysis of RTOG 0617.
Colton Ladbury et al. Int J Radiat Oncol Biol Phys 2023

Machine Learning for Predicting Clinician Evaluation of Treatment Plans for Left-Sided Whole Breast Radiation Therapy.
Christian Fiandra et al. Adv Radiat Oncol 2023 8(5) 101228

Noise-robustness test for ultrasound breast nodule neural network models as medical devices.
Jiaxin Jiang et al. Front Oncol 2023 131177225

Modeling Epidemiology Data with Machine Learning Technique to Detect Risk Factors for Gastric Cancer.
Kimia Mohammadnezhad et al. J Gastrointest Cancer 2023

Comprehensively analysis of immunophenotyping signature in triple-negative breast cancer patients based on machine learning.
Lijuan Tang et al. Front Pharmacol 2023 141195864

Automated machine learning (AutoML) can predict 90-day mortality after gastrectomy for cancer.
Gopika SenthilKumar et al. Sci Rep 2023 13(1) 11051

Implementation of deep learning in liver pathology optimizes diagnosis of benign lesions and adenocarcinoma metastasis.
Mark Kriegsmann et al. Clin Transl Med 2023 13(7) e1299

Clinical Characterization of Patients Diagnosed with Prostate Cancer and Undergoing Conservative Management: A PIONEER Analysis Based on Big Data.
Giorgio Gandaglia et al. Eur Urol 2023

Development of Machine Learning Models for Predicting Osteoporosis in Patients with Type 2 Diabetes Mellitus-A Preliminary Study.
Xuelun Wu et al. Diabetes Metab Syndr Obes 2023 161987-2003

Predicting new-onset post-stroke depression from real-world data using machine learning algorithm.
Yu-Ming Chen et al. Front Psychiatry 2023 141195586

Diabetes Detection Models in Mexican Patients by Combining Machine Learning Algorithms and Feature Selection Techniques for Clinical and Paraclinical Attributes: A Comparative Evaluation.
Antonio García-Domínguez et al. J Diabetes Res 2023 20239713905

Using Deep Learning Architectures for Detection and Classification of Diabetic Retinopathy.
Cheena Mohanty et al. Sensors (Basel) 2023 23(12)

Prediction of subjective cognitive decline after corpus callosum infarction by an interpretable machine learning-derived early warning strategy.
Yawen Xu et al. Front Neurol 2023 141123607

Marketing and US Food and Drug Administration Clearance of Artificial Intelligence and Machine Learning Enabled Software in and as Medical Devices: A Systematic Review.
Phoebe Clark et al. JAMA Netw Open 2023 6(7) e2321792

Applying anti-racist approaches to informatics: a new lens on traditional frames.
Jodyn Platt et al. J Am Med Inform Assoc 2023

The imperative for regulatory oversight of large language models (or generative AI) in healthcare.
Bertalan Meskó et al. NPJ Digit Med 2023 6(1) 120

Evaluation of the Potential Utility of an Artificial Intelligence ChatBot in GERD Management.
Jacqueline B Henson et al. Am J Gastroenterol 2023

Using Wearable Passive Sensing to Predict Binge Eating in Response to Negative Affect Among Individuals With Transdiagnostic Binge Eating: Protocol for an Observational Study.
Emily K Presseller et al. JMIR Res Protoc 2023 12e47098

Navigating the machine learning pipeline: a scoping review of inpatient delirium prediction models.
Tom Strating et al. BMJ Health Care Inform 2023 30(1)

Nanosensor technologies and the digital transformation of healthcare.
Emem E Udoh et al. Per Med 2023

Artificial intelligence in healthcare: Complementing, not replacing, doctors and healthcare providers.
Emre Sezgin et al. Digit Health 2023 920552076231186520

An Epileptic Seizure Prediction Method Based on CBAM-3D CNN-LSTM Model.
Xiang Lu et al. IEEE J Transl Eng Health Med 2023 11417-423

Making decisions: Bias in artificial intelligence and data‑driven diagnostic tools.
Yves Saint James Aquino et al. Aust J Gen Pract 2023 52(7) 439-442

Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives.
Marco Cascella et al. Pain Res Manag 2023 20236018736

Development and validation of the creatinine clearance predictor machine learning models in critically ill adults.
Chao-Yuan Huang et al. Crit Care 2023 27(1) 272

ChatGPT and beyond with artificial intelligence (AI) in health: lessons to be learned.
Rodolphe Thiébaut et al. Joint Bone Spine 2023 105607

Using Artificial Intelligence in Predicting Ischemic Stroke Events After Percutaneous Coronary Intervention.
Chieh-Ju Chao et al. J Invasive Cardiol 2023 35(6) E297-E311

Artificial Intelligence Application to Screen Abdominal Aortic Aneurysm Using Computed tomography Angiography.
Giovanni Spinella et al. J Digit Imaging 2023

Cardiovascular disease/stroke risk stratification in deep learning framework: a review.
Mrinalini Bhagawati et al. Cardiovasc Diagn Ther 2023 13(3) 557-598

Machine learning using institution-specific multi-modal electronic health records improves mortality risk prediction for cardiac surgery patients.
Aaron J Weiss et al. JTCVS Open 2023 14214-251