Parental perceptions on use of artificial intelligence in pediatric acute care.
Ramgopal Sriram et al. Academic pediatrics 2022

Early Diagnosis and Quantitative Analysis of Stages in Retinopathy of Prematurity Based on Deep Convolutional Neural Networks.
Li Peng et al. Translational vision science & technology 2022 11(5) 17

Identifying adverse childhood experiences with electronic health records of linked mothers and children in England: a multistage development and validation study.
Syed Shabeer et al. The Lancet. Digital health 2022

The Accuracy of Artificial Intelligence in the Endoscopic Diagnosis of Early Gastric Cancer: Pooled Analysis Study.
Chen Pei-Chin et al. Journal of medical Internet research 2022 24(5) e27694

Use of a convolutional neural network-based mammographic evaluation to predict breast cancer recurrence among women with hormone receptor-positive operable breast cancer.
McGuinness Julia E et al. Breast cancer research and treatment 2022

FDCNet: Presentation of the Fuzzy CNN and Fractal Feature Extraction for Detection and Classification of Tumors.
Molaei Sepideh et al. Computational intelligence and neuroscience 2022 20227543429

Microcalcification Discrimination in Mammography Using Deep Convolutional Neural Network: Towards Rapid and Early Breast Cancer Diagnosis.
Leong Yew Sum et al. Frontiers in public health 2022 10875305

Early detection and classification of abnormality in prior mammograms using image-to-image translation and YOLO techniques.
Baccouche Asma et al. Computer methods and programs in biomedicine 2022 221106884

A deep learning framework to classify breast density with noisy labels regularization.
Lopez-Almazan Hector et al. Computer methods and programs in biomedicine 2022 221106885

Radiomics can differentiate high-grade glioma from brain metastasis: a systematic review and meta-analysis.
Li Yuanzhen et al. European radiology 2022

Non-Invasive Prediction of Survival Time of Midline Glioma Patients Using Machine Learning on Multiparametric MRI Radiomics Features.
Deng Da-Biao et al. Frontiers in neurology 2022 13866274

Evaluation of the Effect of Patient Education and Strengthening Exercise Therapy Using a Mobile Messaging App on Work Productivity in Japanese Patients With Chronic Low Back Pain: Open-Label, Randomized, Parallel-Group Trial.
Itoh Naohiro et al. JMIR mHealth and uHealth 2022 10(5) e35867

Predicted and actual 2-year structural and pain progression in the IMI-APPROACH knee osteoarthritis cohort.
van Helvoort Eefje M et al. Rheumatology (Oxford, England) 2022

Can AI make people happy? The effect of AI-based chatbot on smile and speech in Parkinson's disease.
Ogawa Mayuko et al. Parkinsonism & related disorders 2022 9943-46

Developing Acute Event Risk Profiles for Older Adults With Dementia in Long-Term Care Using Motor Behavior Clusters Derived From Deep Learning.
Ramazi Ramin et al. Journal of the American Medical Directors Association 2022

Automated Evaluation of Conventional Clock-Drawing Test Using Deep Neural Network: Potential as a Mass Screening Tool to Detect Individuals With Cognitive Decline.
Sato Kenichiro et al. Frontiers in neurology 2022 13896403

Posttraumatic stress disorder hyperarousal event detection using smartwatch physiological and activity data.
Sadeghi Mahnoosh et al. PloS one 2022 17(5) e0267749

Integrating Ethics and Career Futures with Technical Learning to Promote AI Literacy for Middle School Students: An Exploratory Study.
Zhang Helen et al. International journal of artificial intelligence in education 2022 1-35

Preserving the Privacy of Healthcare Data over Social Networks Using Machine Learning.
Veeramakali T et al. Computational intelligence and neuroscience 2022 20224690936

Applying ethics to AI in the workplace: the design of a scorecard for Australian workplace health and safety.
Cebulla Andreas et al. AI & society 2022 1-17

A Unified Framework on Generalizability of Clinical Prediction Models.
Wan Bohua et al. Frontiers in artificial intelligence 2022 5872720

Assessing the potentiality of algorithms and artificial intelligence adoption to disrupt patient primary care with a safer and faster medication management: a systematic review protocol.
Oliva Antonio et al. BMJ open 2022 12(5) e057399

Machine learning model to predict mental health crises from electronic health records.
Garriga Roger et al. Nature medicine 2022

Machine Learning Applied to Routinely Collected Health Administrative Data.
Rosella Laura C et al. Healthcare quarterly (Toronto, Ont.) 2022 25(1) 12-16

Paying for artificial intelligence in medicine.
Parikh Ravi B et al. NPJ digital medicine 2022 5(1) 63

Development of an Architecture to Implement Machine Learning Based Risk Prediction in Clinical Routine: A Service-Oriented Approach.
Schrempf Michael et al. Studies in health technology and informatics 2022 293262-269

Promoting the Importance of Recall Visits Among Dental Patients in India Using a Semi-Autonomous AI System.
Ghosh Aditi et al. Studies in health technology and informatics 2022 29385-92

Editorial: AI in Healthcare: From Data to Intelligence.
Hulsen Tim et al. Frontiers in artificial intelligence 2022 5909391

Influence of artificial intelligence on the work design of emergency department clinicians a systematic literature review.
Boonstra Albert et al. BMC health services research 2022 22(1) 669

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI.
Vasey Baptiste et al. Nature medicine 2022 28(5) 924-933

Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI.
Vasey Baptiste et al. BMJ (Clinical research ed.) 2022 377e070904

Artificial intelligence in medicine: Overcoming or recapitulating structural challenges to improving patient care?
London Alex John et al. Cell reports. Medicine 2022 3(5) 100622

Machine learning in clinical decision making.
Adlung Lorenz et al. Med (New York, N.Y.) 2022 2(6) 642-665

Semantic segmentation guided detector for segmentation, classification, and lesion mapping of acute ischemic stroke in MRI images.
Wei Yi-Chia et al. NeuroImage. Clinical 2022 35103044

Identifying asthma patients at high risk of exacerbation in a routine visit: A machine learning model.
Jiao Tianze et al. Respiratory medicine 2022 198106866

Machine Learning Methods for Predicting Long-Term Mortality in Patients After Cardiac Surgery.
Yu Yue et al. Frontiers in cardiovascular medicine 2022 9831390

Prediction of acute kidney injury risk after cardiac surgery: using a hybrid machine learning algorithm.
Petrosyan Yelena et al. BMC medical informatics and decision making 2022 22(1) 137

Linking digital surveillance and in-depth virology to study clinical patterns of viral respiratory infections in vulnerable patient populations.
Obermeier Patrick E et al. iScience 2022 25(5) 104276

Nomogram and Machine Learning Models Predict 1-Year Mortality Risk in Patients With Sepsis-Induced Cardiorenal Syndrome.
Liu Yiguo et al. Frontiers in medicine 2022 9792238

Early Biomarker Signatures in Surgical Sepsis.
Madushani R W M A et al. The Journal of surgical research 2022 277372-383

Diagnostic accuracy of a commercially-available, deep learning-based chest-Xray interpretation software for detecting culture-confirmed pulmonary tuberculosis.
Tavaziva Gamuchirai et al. International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases 2022

Machine Learning Based Forecast of Dengue Fever in Brazilian Cities using Epidemiological and Meteorological Variables.
Roster Kirstin et al. American journal of epidemiology 2022

A Geospatial Artificial Intelligence and satellite-based earth observation cognitive system in response to COVID-19.
Atek Sofiane et al. Acta astronautica 2022

Machine Learning in Antibacterial Drug Design.
Jukic Marko et al. Frontiers in pharmacology 2022 13864412

Web-based application for predicting the potential target phenotype for recombinant human thrombomodulin therapy in patients with sepsis: analysis of three multicentre registries.
Goto Tadahiro et al. Critical care (London, England) 2022 26(1) 145

Identifying who has long COVID in the USA: a machine learning approach using N3C data.
Pfaff Emily R et al. The Lancet. Digital health 2022

A Deep Learning Approach to Predict Conductive Hearing Loss in Patients With Otitis Media With Effusion Using Otoscopic Images.
Zeng Junbo et al. JAMA otolaryngology-- head & neck surgery 2022

A Deep Learning Approach for the Assessment of Signal Quality of Non-Invasive Foetal Electrocardiography.
Mertes Gert et al. Sensors (Basel, Switzerland) 2022 22(9)