Attention Deficit Hyperactivity Disorder Classification Based on Deep Learning.
Wang Donglin et al. IEEE/ACM transactions on computational biology and bioinformatics 2022 PP

Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge.
Combalia Marc et al. The Lancet. Digital health 2022 4(5) e330-e339

Machine learning algorithms to estimate 10-Year survival in patients with bone metastases due to prostate cancer: toward a disease-specific survival estimation tool.
Anderson Ashley B et al. BMC cancer 2022 22(1) 476

Comprehensive analysis of the associations between clinical factors and outcomes by machine learning, using post marketing surveillance data of cabazitaxel in patients with castration-resistant prostate cancer.
Kazama Hirotaka et al. BMC cancer 2022 22(1) 470

Risk Prediction of Pancreatic Cancer in Patients With Recent-onset Hyperglycemia: A Machine-learning Approach.
Chen Wansu et al. Journal of clinical gastroenterology 2022

Swarm learning for decentralized artificial intelligence in cancer histopathology.
Saldanha Oliver Lester et al. Nature medicine 2022

Using Natural Language Processing and Machine Learning to Preoperatively Predict Lymph Node Metastasis for Non-Small Cell Lung Cancer With Electronic Medical Records: Development and Validation Study.
Hu Danqing et al. JMIR medical informatics 2022 10(4) e35475

A comparison of the performances of an artificial intelligence system and radiologists in the ultrasound diagnosis of thyroid nodules.
He Lian-Tu et al. Current medical imaging 2022

Depression screening using a non-verbal self-association task: A machine-learning based pilot study.
Liu Yang S et al. Journal of affective disorders 2022

Development of a Convolutional Neural Network-Based Colonoscopy Image Assessment Model for Differentiating Crohn's Disease and Ulcerative Colitis.
Wang Lijia et al. Frontiers in medicine 2022 9789862

First-onset major depression during the COVID-19 pandemic: A predictive machine learning model.
Caldirola Daniela et al. Journal of affective disorders 2022

Artificial Intelligence for Inflammatory Bowel Diseases (IBD); Accurately Predicting Adverse Outcomes Using Machine Learning.
Zand Aria et al. Digestive diseases and sciences 2022

Who will respond to intensive PTSD treatment? A machine learning approach to predicting response prior to starting treatment.
Held Philip et al. Journal of psychiatric research 2022 15178-85

Long-term Prediction of Blood Glucose Levels in Type 1 Diabetes Using a CNN-LSTM-Based Deep Neural Network.
Jaloli Mehrad et al. Journal of diabetes science and technology 2022 19322968221092785

Investigating for bias in healthcare algorithms: a sex-stratified analysis of supervised machine learning models in liver disease prediction.
Straw Isabel et al. BMJ health & care informatics 2022 29(1)

The risk of coding racism into pediatric sepsis care: the necessity of anti-racism in machine learning.
Sveen William Norman et al. The Journal of pediatrics 2022

The Need for a Global Approach to the Ethical Evaluation of Healthcare Machine Learning.
Vandemeulebroucke Tijs et al. The American journal of bioethics : AJOB 2022 22(5) 33-35

Not just "big" data: Importance of sample size, measurement error, and uninformative predictors for developing prognostic models for digital interventions.
McNamara Mary E et al. Behaviour research and therapy 2022 153104086

Clinical practice guideline for body composition assessment based on upper abdominal magnetic resonance images annotated using artificial intelligence.
Lv Han et al. Chinese medical journal 2022 135(6) 631-633

Precision Public Health for Non-communicable Diseases: An Emerging Strategic Roadmap and Multinational Use Cases.
Canfell Oliver J et al. Frontiers in public health 2022 10854525

Inclusion of Clinicians in the Development and Evaluation of Clinical Artificial Intelligence Tools: A Systematic Literature Review.
Tulk Jesso Stephanie et al. Frontiers in psychology 2022 13830345

Digital Technologies to Support Better Outcome and Experience of Care in Patients with Heart Failure.
McBeath K C C et al. Current heart failure reports 2022 1-34

Generalizable Beat-by-Beat Arrhythmia Detection by Using Weakly Supervised Deep Learning.
Liu Yang et al. Frontiers in physiology 2022 13850951

Future Guidelines for Artificial Intelligence in Echocardiography.
Tseng Andrew S et al. Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography 2022

Validation of the myocardial-ischaemic-injury-index machine learning algorithm to guide the diagnosis of myocardial infarction in a heterogenous population: a prespecified exploratory analysis.
Doudesis Dimitrios et al. The Lancet. Digital health 2022 4(5) e300-e308

Machine learning approaches to predict the 1-year-after-initial-AMI survival of elderly patients.
Lee Jisoo et al. BMC medical informatics and decision making 2022 22(1) 115

Prediction of 3-year all-cause and cardiovascular cause mortality in a prospective percutaneous coronary intervention registry: Machine learning model outperforms conventional clinical risk scores.
Calburean Paul-Adrian et al. Atherosclerosis 2022 35033-40

Artificial Intelligence for Education, Proctoring, and Credentialing in Cardiovascular Medicine.
Krajcer Zvonimir et al. Texas Heart Institute journal 2022 49(2)

Effects of lifestyle behaviours and depressed mood on sleep quality in young adults. A machine learning approach.
Sanchez-Trigo Horacio et al. Psychology & health 2022 1-16

Heterogeneous treatment effects of intensive glycemic control on major adverse cardiovascular events in the ACCORD and VADT trials: a machine-learning analysis.
Edward Justin A et al. Cardiovascular diabetology 2022 21(1) 58

Machine learning to predict no reflow and in-hospital mortality in patients with ST-segment elevation myocardial infarction that underwent primary percutaneous coronary intervention.
Deng Lianxiang et al. BMC medical informatics and decision making 2022 22(1) 109

Barriers of artificial intelligence implementation in the diagnosis of obstructive sleep apnea.
Brennan Hannah L et al. Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale 2022 51(1) 16

Artificial intelligence applied to cardiovascular imaging, a critical focus on echocardiography: The point-of-view from "the other side of the coin".
Dell'Angela Luca et al. Journal of clinical ultrasound : JCU 2022

The pneumonia severity index: Assessment and comparison to popular machine learning classifiers.
Wang Dawei et al. International journal of medical informatics 2022 163104778

Implementation approaches and barriers for rule-based and machine learning-based sepsis risk prediction tools: a qualitative study.
Joshi Mugdha et al. JAMIA open 2022 5(2) ooac022

Conversational artificial intelligence: A new approach for increasing influenza vaccination rates in children with asthma?
Krupp K et al. Vaccine 2022

TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases From Chest X-Ray Images.
Wong Alexander et al. Frontiers in artificial intelligence 2022 5827299

Artificial Intelligence Assisting the Early Detection of Active Pulmonary Tuberculosis From Chest X-Rays: A Population-Based Study.
Nijiati Mayidili et al. Frontiers in molecular biosciences 2022 9874475

Machine Learning-Based Prediction Model of Preterm Birth Using Electronic Health Record.
Sun Qi et al. Journal of healthcare engineering 2022 20229635526

Predicting perinatal health outcomes using smartphone-based digital phenotyping and machine learning in a prospective Swedish cohort (Mom2B): study protocol.
Bilal Ayesha M et al. BMJ open 2022 12(4) e059033

Prediction and Evaluation of Machine Learning Algorithm for Prediction of Blood Transfusion during Cesarean Section and Analysis of Risk Factors of Hypothermia during Anesthesia Recovery.
Ren Wei et al. Computational and mathematical methods in medicine 2022 20228661324