The Utility of Natural Language Samples for Assessing Communication and Language in Infants Referred with Early Signs of Autism.
Hudry Kristelle et al. Research on child and adolescent psychopathology 2023

Agreement between patient's description of abdominal symptoms of possible upper gastrointestinal cancer and general practitioner consultation notes: a qualitative analysis of video-recorded UK primary care consultation data.
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Artificial Intelligence for Indication of Invasive Assessment of Calcifications in Mammography Screening.
Weigel Stefanie et al. RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin 2023 195(1) 38-46

Application of machine learning techniques in real-world research to predict the risk of liver metastasis in rectal cancer.
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Construction and validation of nomograms combined with novel machine learning algorithms to predict early death of patients with metastatic colorectal cancer.
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Development of a method for digital assessment of tumor regression grade in patients with rectal cancer following neoadjuvant therapy.
Jepsen Dea Natalie Munch et al. Journal of pathology informatics 2023 13100152

Improving patient-centered communication in breast cancer: a study protocol for a multilevel intervention of a shared treatment deliberation system (SharES) within the NCI community oncology research program (NCORP) (Alliance A231901CD).
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Preoperative US Integrated Random Forest Model for Predicting Delphian Lymph Node Metastasis in Patients with Papillary Thyroid Cancer.
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Inference of core needle biopsy whole slide images requiring definitive therapy for prostate cancer.
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Evaluation of a convolution neural network for baseline total tumor metabolic volume on [F]FDG PET in diffuse large B cell lymphoma.
Karimdjee Mourtaza et al. European radiology 2023

Development of a machine learning-based fine-grained risk stratification system for thyroid nodules using predefined clinicoradiological features.
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AI-assisted clinical decision making (CDM) for dose prescription in radiosurgery of brain metastases using three-path three-dimensional CNN.
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Is Artificial Intelligence Replacing Our Radiology Stars? Not Yet!
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Clinical Evaluation of Computer-Aided Colorectal Neoplasia Detection Using a Novel Endoscopic Artificial Intelligence: A Single-Center Randomized Controlled Trial.
Nakashima Hirotaka et al. Digestion 2023 1-9

Machine Learning-Based Prediction of Acute Kidney Injury Following Pediatric Cardiac Surgery: Model Development and Validation Study.
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Automated analysis of small intestinal lamina propria to distinguish normal, Celiac Disease, and Non-Celiac Duodenitis biopsy images.
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Whole-brain dynamical modelling for classification of Parkinson's disease.
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Application of machine learning techniques for dementia severity prediction from psychometric tests in the elderly population.
Calderón Carlos et al. Applied neuropsychology. Adult 2023 1-9

Application of machine learning methods in predicting schizophrenia and bipolar disorders: A systematic review.
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Two-dimensional Convolutional Neural Network Using Quantitative US for Noninvasive Assessment of Hepatic Steatosis in NAFLD.
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Ensemble learning using traditional machine learning and deep neural network for diagnosis of Alzheimer's disease.
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Analysis of the impact of social determinants and primary care morbidity on population health outcomes by combining big data: A research protocol.
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Intensive Care Unit Physicians' Perspectives on Artificial Intelligence-Based Clinical Decision Support Tools: Preimplementation Survey Study.
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A deep learning model to identify fluid overload status in critically ill patients based on chest X-ray images.
Qin Xiaoyi et al. Polish archives of internal medicine 2023

The use of artificial intelligence applications in medicine and the standard required for healthcare provider-patient briefings-an exploratory study.
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Machine learning and deep learning approach for medical image analysis: diagnosis to detection.
Rana Meghavi et al. Multimedia tools and applications 2023 1-39

Uncertainty-aware deep learning in healthcare: A scoping review.
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Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade.
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Improved prediction of sudden cardiac death in patients with heart failure through digital processing of electrocardiography.
Shiraishi Yasuyuki et al. Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology 2023

Development of a machine learning model for predicting 28-day mortality of septic patients with atrial fibrillation.
Wang Ziwen et al. Shock (Augusta, Ga.) 2023

Tandem deep learning and logistic regression models to optimize hypertrophic cardiomyopathy detection in routine clinical practice.
Maanja Maren et al. Cardiovascular digital health journal 2023 3(6) 289-296

Inside the "black box": Embedding clinical knowledge in data-driven machine learning for heart disease diagnosis.
Meng James et al. Cardiovascular digital health journal 2023 3(6) 276-288

Myocardial strain analysis of echocardiography based on deep learning.
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Clinical lipidomics in the era of the big data.
Kvasnicka Aleš et al. Clinical chemistry and laboratory medicine 2023

Digital health technology in the prevention of heart failure and coronary artery disease.
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A comparison of machine learning algorithms and traditional regression-based statistical modeling for predicting hypertension incidence in a Canadian population.
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Using artificial intelligence to study atherosclerosis, predict risk and guide treatments in clinical practice.
Antoniades Charalambos et al. European heart journal 2023

Machine learning to analyse omic-data for COVID-19 diagnosis and prognosis.
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Prediction of postoperative infection in elderly using deep learning-based analysis: an observational cohort study.
Li Pinhao et al. Aging clinical and experimental research 2023

Multi-objective deep learning framework for COVID-19 dataset problems.
Mohammedqasem Roa'a et al. Journal of King Saud University. Science 2023 35(3) 102527

Harnessing Big Data to end HIV.
Li Xiaoming et al. AIDS care 2022 1-2

A hybrid algorithm for clinical decision support in precision medicine based on machine learning.
Zhang Zicheng et al. BMC bioinformatics 2023 24(1) 3

Adverse drug event detection using natural language processing: A scoping review of supervised learning methods.
Murphy Rachel M et al. PloS one 2023 18(1) e0279842

Technology Platforms and Approaches for Building and Evaluating Machine Learning Methods in Healthcare.
Mooney Sean D et al. The journal of applied laboratory medicine 2023 8(1) 194-202

Statistical and machine learning approaches to predict the necessity for computed tomography in children with mild traumatic brain injury.
Miyagawa Tadashi et al. PloS one 2023 18(1) e0278562

HaN-Seg: The head and neck organ-at-risk CT & MR segmentation dataset.
Podobnik Gašper et al. Medical physics 2023