Machine Learning-based Classifiers for the Prediction of Low Birth Weight.
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The Clinical Suitability of an Artificial Intelligence-Enabled Pain Assessment Tool for Use in Infants: Feasibility and Usability Evaluation Study.
Jeffery David Hughes et al. Journal of medical Internet research 2023 25e41992

Artificial Intelligence in Breast X-Ray Imaging.
Srinivasan Vedantham et al. Seminars in ultrasound, CT, and MR 2023 44(1) 2-7

The Role of Artificial Intelligence in Accurate Interpretation of HER2 Immunohistochemical Scores 0 and 1+ in Breast Cancer.
Si Wu et al. Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc 2023 36(3) 100054

Advancement in Deep Learning Methods for Diagnosis and Prognosis of Cervical Cancer.
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Novel nutritional indicator as predictors among subtypes of lung cancer in diagnosis.
Haiyang Li et al. Frontiers in nutrition 2023 101042047

Applications of Artificial Intelligence in Breast Pathology.
Yueping Liu et al. Archives of pathology & laboratory medicine 2023

Application of machine learning methods to guide patient management by predicting the risk of malignancy of Bethesda III-V thyroid nodules.
Grégoire D'Andréa et al. European journal of endocrinology 2023

Cancer detection based on Medical Image Analysis with the help of Machine Learning and Deep Learning techniques: A Systematic Literature Review.
Tamanna Sood et al. Current medical imaging 2023

A multicenter randomized trial for quality of life evaluation by non-invasive intelligent tools during post-curative treatment follow-up for head and neck cancer: Clinical study protocol.
Stefano Cavalieri et al. Frontiers in oncology 2023 131048593

Artificial intelligence-assisted selection and efficacy prediction of antineoplastic strategies for precision cancer therapy.
Zhe Zhang et al. Seminars in cancer biology 2023

Deriving quantitative information from multiparametric MRI via Radiomics: Evaluation of the robustness and predictive value of radiomic features in the discrimination of low-grade versus high-grade gliomas with machine learning.
Leonardo Ubaldi et al. Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) 2023 107102538

Advanced-stage tongue squamous cell carcinoma: a machine learning model for risk stratification and treatment planning.
Rasheed Omobolaji Alabi et al. Acta oto-laryngologica 2023 1-9

A Multi-Thresholding-Based Discriminative Neural Classifier for Detection of Retinoblastoma Using CNN Models.
Parmod Kumar et al. BioMed research international 2023 20235803661

Current state and completeness of reporting clinical prediction models using machine learning in systemic lupus erythematosus: A systematic review.
Pamela Munguía-Realpozo et al. Autoimmunity reviews 2023 103294

Using Machine Learning Algorithms to Predict High-Risk Factors for Postoperative Delirium in Elderly Patients.
Yuan Liu et al. Clinical interventions in aging 2023 18157-168

Clinical validation of a smartphone application for automated wound measurement in patients with venous leg ulcers.
Khi Yung Fong et al. International wound journal 2023 20(3) 751-760

Predict, diagnose, and treat chronic kidney disease with machine learning: a systematic literature review.
Francesco Sanmarchi et al. Journal of nephrology 2023

Relevance of F-DOPA visual and semi-quantitative PET metrics for the diagnostic of Parkinson disease in clinical practice: a machine learning-based inference study.
Alex Iep et al. EJNMMI research 2023 13(1) 13

Data-based modeling for hypoglycemia prediction: Importance, trends, and implications for clinical practice.
Liyin Zhang et al. Frontiers in public health 2023 111044059

Detection of sarcopenia using deep learning-based artificial intelligence body part measure system (AIBMS).
Shangzhi Gu et al. Frontiers in physiology 2023 141092352

Using Machine Learning to Predict Cognitive Impairment Among Middle-Aged and Older Chinese: A Longitudinal Study.
Haihong Liu et al. International journal of public health 2023 681605322

Prediction Models for Knee Osteoarthritis: Review of Current Models and Future Directions.
Taghi Ramazanian et al. The archives of bone and joint surgery 2023 11(1) 1-11

Machine learning to study placental pathology: Risk of reification and other considerations.
Abigail R Cartus et al. Paediatric and perinatal epidemiology 2023

Toward a taxonomy of trust for probabilistic machine learning.
Tamara Broderick et al. Science advances 2023 9(7) eabn3999

Healthcare Professionals' Expectations of Medical Artificial Intelligence and Strategies for its Clinical Implementation: A Qualitative Study.
Junsang Yoo et al. Healthcare informatics research 2023 29(1) 64-74

Investigation of social and cognitive predictors in non-transition ultra-high-risk' individuals for psychosis using spiking neural networks.
Zohreh Doborjeh et al. Schizophrenia (Heidelberg, Germany) 2023 9(1) 10

Deep Learning-Based Recurrent Delirium Prediction in Critically Ill Patients.
Filipe R Lucini et al. Critical care medicine 2023

Implementation of Artificial Intelligence-Assisted Endoscopy Across Canada-The CAG Artificial Intelligence Special Interest Group.
Daniel von Renteln et al. Journal of the Canadian Association of Gastroenterology 2023 6(1) 5-7

Conventional Versus Artificial Intelligence-Assisted Interpretation of Chest Radiographs in Patients With Acute Respiratory Symptoms in Emergency Department: A Pragmatic Randomized Clinical Trial.
Eui Jin Hwang et al. Korean journal of radiology 2023

The Current Status of Secondary Use of Claims, Electronic Medical Records, and Electronic Health Records in Epidemiology in Japan: Narrative Literature Review.
Yang Zhao et al. JMIR medical informatics 2023 11e39876

An intelligent medical guidance and recommendation model driven by patient-physician communication data.
Jusheng Liu et al. Frontiers in public health 2023 111098206

Development and validation of questionnaire-based machine learning models for predicting all-cause mortality in a representative population of China.
Ziyi Li et al. Frontiers in public health 2023 111033070

Early recognition of risk of critical adverse events based on deep neural decision gradient boosting.
Yu-Wen Chen et al. Frontiers in public health 2023 101065707

Harmonized US National Health and Nutrition Examination Survey 1988-2018 for high throughput exposome-health discovery.
Vy Kim Nguyen et al. medRxiv : the preprint server for health sciences 2023

Artificial Intelligence in Long-Term Care: Technological Promise, Aging Anxieties, and Sociotechnical Ageism.
Barbara Barbosa Neves et al. Journal of applied gerontology : the official journal of the Southern Gerontological Society 2023 7334648231157370

Garbage in, Garbage out-Words of Caution on Big Data and Machine Learning in Medical Practice.
Joan M Teno et al. JAMA health forum 2023 4(2) e230397

Development and validation of ischemic heart disease and stroke prognostic models using large-scale real-world data from Japan.
Shigeto Yoshida et al. Environmental health and preventive medicine 2023 2816

Relationship of long-term air pollution exposure with asthma and rhinitis in Italy: an innovative multipollutant approach.
Sara Maio et al. Environmental research 2023 115455

A novel artificial intelligence based algorithm to reduce wearable cardioverter-defibrillator alarms.
Jeffrey Arkles et al. Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing 2023

Machine learning approach to stratify complex heterogeneity of chronic heart failure: A report from the CHART-2 study.
Kenji Nakano et al. ESC heart failure 2023

Unsupervised machine learning model to predict cognitive impairment in subcortical ischemic vascular disease.
Qi Qin et al. Alzheimer's & dementia : the journal of the Alzheimer's Association 2023

Artificial intelligence based software facilitates spirometry quality control in asthma and COPD clinical trials.
Eva Topole et al. ERJ open research 2023 9(1)

Development and validation of a practical machine learning model to predict sepsis after liver transplantation.
Chaojin Chen et al. Annals of medicine 2023 55(1) 624-633

A systematic review of dengue outbreak prediction models: Current scenario and future directions.
Xing Yu Leung et al. PLoS neglected tropical diseases 2023 17(2) e0010631

Deep-Learning Model for Influenza Prediction From Multisource Heterogeneous Data in a Megacity: Model Development and Evaluation.
Liuyang Yang et al. Journal of medical Internet research 2023 25e44238

Optimizing the Implementation of Clinical Predictive Models to Minimize National Costs: Sepsis Case Study.
Parker Rogers et al. Journal of medical Internet research 2023 25e43486

CIN2 + detection in high-risk HPV patients with no or minor cervical cytologic abnormalities: a clinical approach validated by machine learning.
Julia Wittenborn et al. Archives of gynecology and obstetrics 2023

Refining empiric subgroups of pediatric sepsis using machine-learning techniques on observational data.
Yidi Qin et al. Frontiers in pediatrics 2023 111035576

A machine learning pipeline to classify foetal heart rate deceleration with optimal feature set.
Sahana Das et al. Scientific reports 2023 13(1) 2495