Browse the corpus

Walk the evidence base by book and chapter — the raw source passages that ground Ask, Differential, and the rest.

• A big-data approach to producing descriptive anthropometric references: a feasibility and validation study of paediatric growth charts.1 passage
• A chronological map of 308 physical and mental health conditions from 4 million individuals in the English National Health Service.1 passage
• A co-designed mHealth programme to support healthy lifestyles in Māori and Pasifika peoples in New Zealand (OL@-OR@): a cluster-randomised controlled trial.1 passage
• A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis.1 passage
• A data-driven approach for studying the role of body mass in multiple diseases: a phenome-wide registry-based case-control study in the UK Biobank.1 passage
• A deep learning algorithm to detect anaemia with ECGs: a retrospective, multicentre study.1 passage
• A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations.1 passage
• A fully artificial pancreas versus a hybrid artificial pancreas for type 1 diabetes: a single-centre, open-label, randomised controlled, crossover, non-inferiority trial.1 passage
• A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability.1 passage
• A novel digital intervention for actively reducing severity of paediatric ADHD (STARS-ADHD): a randomised controlled trial.1 passage
• A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study.1 passage
• A simple nomogram for predicting failure of non-invasive respiratory strategies in adults with COVID-19: a retrospective multicentre study.1 passage
• A two-transcript biomarker of host classifier genes for discrimination of bacterial from viral infection in acute febrile illness: a multicentre discovery and validation study.1 passage
• Accuracy of mobile digital teledermoscopy for skin self-examinations in adults at high risk of skin cancer: an open-label, randomised controlled trial.1 passage
• Achieving accurate estimates of fetal gestational age and personalised predictions of fetal growth based on data from an international prospective cohort study: a population-based machine learning study.1 passage
• Adherence in children using positive airway pressure therapy: a big-data analysis.1 passage
• An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study.1 passage
• An external validation of the QCovid risk prediction algorithm for risk of mortality from COVID-19 in adults: a national validation cohort study in England.1 passage
• An image-based deep learning framework for individualizing radiotherapy dose.1 passage
• An integrated nomogram combining deep learning, Prostate Imaging-Reporting and Data System (PI-RADS) scoring, and clinical variables for identification of clinically significant prostate cancer on biparametric MRI: a retrospective multicentre study.1 passage
• Anosmia, ageusia, and other COVID-19-like symptoms in association with a positive SARS-CoV-2 test, across six national digital surveillance platforms: an observational study.1 passage
• Application of Comprehensive Artificial intelligence Retinal Expert (CARE) system: a national real-world evidence study.1 passage
• Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the Surveillance, Epidemiology, and End Results (SEER) database.1 passage
• Application of unsupervised machine learning to identify and characterise hydroxychloroquine misinformation on Twitter.1 passage
• Applications of digital technology in COVID-19 pandemic planning and response.1 passage
• Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015-20): a comparative analysis.1 passage
• Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study.1 passage
• Artificial intelligence in COVID-19 drug repurposing.1 passage
• Artificial intelligence in medical imaging: switching from radiographic pathological data to clinically meaningful endpoints.1 passage
• Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study.1 passage
• Artificial intelligence, the internet of things, and virtual clinics: ophthalmology at the digital translation forefront.1 passage
• Assessing procedural pain in infants: a feasibility study evaluating a point-of-care mobile solution based on automated facial analysis.1 passage
• Assessing risk factors for SARS-CoV-2 infection in patients presenting with symptoms in Shanghai, China: a multicentre, observational cohort study.1 passage
• Assessing the utility of deep neural networks in predicting postoperative surgical complications: a retrospective study.1 passage
• Association between change in cardiovascular risk scores and future cardiovascular disease: analyses of data from the Whitehall II longitudinal, prospective cohort study.1 passage
• Association between digital smart device use and myopia: a systematic review and meta-analysis.1 passage
• Associations between changes in population mobility in response to the COVID-19 pandemic and socioeconomic factors at the city level in China and country level worldwide: a retrospective, observational study.1 passage
• Automated CT biomarkers for opportunistic prediction of future cardiovascular events and mortality in an asymptomatic screening population: a retrospective cohort study.1 passage
• Automated and partly automated contact tracing: a systematic review to inform the control of COVID-19.1 passage
• Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study.1 passage
• Automated interpretation of systolic and diastolic function on the echocardiogram: a multicohort study.1 passage
• Automatic multilabel electrocardiogram diagnosis of heart rhythm or conduction abnormalities with deep learning: a cohort study.1 passage
• Big data and predictive modelling for the opioid crisis: existing research and future potential.1 passage
• Blockchain applications in health care for COVID-19 and beyond: a systematic review.1 passage
• CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in Stage I, II resectable Non-Small Cell Lung Cancer: a retrospective multi-cohort study for outcome prediction.1 passage
• CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction.1 passage
• Challenges in the design and regulatory approval of 3D-printed surgical implants: a two-case series.1 passage
• Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study.1 passage
• Changes in the incidence of invasive disease due to Streptococcus pneumoniae, Haemophilus influenzae, and Neisseria meningitidis during the COVID-19 pandemic in 26 countries and territories in the Invasive Respiratory Infection Surveillance Initiative: a prospective analysis of surveillance data.1 passage
• Characteristics of publicly available skin cancer image datasets: a systematic review.1 passage
• Chat-based instant messaging support integrated with brief interventions for smoking cessation: a community-based, pragmatic, cluster-randomised controlled trial.1 passage
• Chest x-ray analysis with deep learning-based software as a triage test for pulmonary tuberculosis: a prospective study of diagnostic accuracy for culture-confirmed disease.1 passage
• Clinical features of COVID-19 mortality: development and validation of a clinical prediction model.1 passage
• Clinically relevant deep learning for detection and quantification of geographic atrophy from optical coherence tomography: a model development and external validation study.1 passage
• Closed-loop insulin delivery in adults with type 1 diabetes in real-life conditions: a 12-week multicentre, open-label randomised controlled crossover trial.1 passage
• Combined prevention for substance use, depression, and anxiety in adolescence: a cluster-randomised controlled trial of a digital online intervention.1 passage
• Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation.1 passage
• Deep learning to distinguish pancreatic cancer tissue from non-cancerous pancreatic tissue: a retrospective study with cross-racial external validation.1 passage
• Deep learning-based artificial intelligence model to assist thyroid nodule diagnosis and management: a multicentre diagnostic study.1 passage
• Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study.1 passage
• Deep learning-based triage and analysis of lesion burden for COVID-19: a retrospective study with external validation.1 passage
• Deep-learning-based cardiovascular risk stratification using coronary artery calcium scores predicted from retinal photographs.1 passage
• Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort study.1 passage
• Detection of glaucomatous optic neuropathy with spectral-domain optical coherence tomography: a retrospective training and validation deep-learning analysis.1 passage
• Development and Validation of the Automated Imaging Differentiation in Parkinsonism (AID-P): A Multi-Site Machine Learning Study.1 passage
• Development and evaluation of a machine learning-based point-of-care screening tool for genetic syndromes in children: a multinational retrospective study.1 passage
• Development and validation of a risk prediction model to diagnose Barrett's oesophagus (MARK-BE): a case-control machine learning approach.1 passage
• Development and validation of a weakly supervised deep learning framework to predict the status of molecular pathways and key mutations in colorectal cancer from routine histology images: a retrospective study.1 passage
• Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study.1 passage
• Development and validation of multivariable prediction models of remission, recovery, and quality of life outcomes in people with first episode psychosis: a machine learning approach.1 passage
• Development and validation of the automated imaging differentiation in parkinsonism (AID-P): a multicentre machine learning study.1 passage
• Diagnosis and risk stratification in hypertrophic cardiomyopathy using machine learning wall thickness measurement: a comparison with human test-retest performance.1 passage
• Digital cognitive behavioural therapy for insomnia: the answer to a major public health issue?1 passage
• Digital health during COVID-19: lessons from operationalising new models of care in ophthalmology.1 passage
• Digital tools against COVID-19: taxonomy, ethical challenges, and navigation aid.1 passage
• Discovery of Parkinson's disease states and disease progression modelling: a longitudinal data study using machine learning.1 passage
• Dynamic ElecTronic hEalth reCord deTection (DETECT) of individuals at risk of a first episode of psychosis: a case-control development and validation study.1 passage
• Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records.1 passage
• Dynamic prediction of psychological treatment outcomes: development and validation of a prediction model using routinely collected symptom data.1 passage
• Dynamic prediction of renal survival among deeply phenotyped kidney transplant recipients using artificial intelligence: an observational, international, multicohort study.1 passage
• Early detection of COVID-19 in the UK using self-reported symptoms: a large-scale, prospective, epidemiological surveillance study.1 passage
• Early epidemiological analysis of the coronavirus disease 2019 outbreak based on crowdsourced data: a population-level observational study.1 passage
• Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study.1 passage
• Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation study.1 passage
• Effectiveness of an mHealth system on access to eye health services in Kenya: a cluster-randomised controlled trial.1 passage
• Effectiveness of school-based eHealth interventions to prevent multiple lifestyle risk behaviours among adolescents: a systematic review and meta-analysis.1 passage
• Effects of digital cognitive behavioural therapy for insomnia on insomnia severity: a large-scale randomised controlled trial.1 passage
• Effects of human mobility restrictions on the spread of COVID-19 in Shenzhen, China: a modelling study using mobile phone data.1 passage
• Electronic decision support and diarrhoeal disease guideline adherence (mHDM): a cluster randomised controlled trial.1 passage
• Epidemiological changes on the Isle of Wight after the launch of the NHS Test and Trace programme: a preliminary analysis.1 passage
• Ethical issues in using ambient intelligence in health-care settings.1 passage
• Evaluating the effect of demographic factors, socioeconomic factors, and risk aversion on mobility during the COVID-19 epidemic in France under lockdown: a population-based study.1 passage
• Evaluating the reliability of mobility metrics from aggregated mobile phone data as proxies for SARS-CoV-2 transmission in the USA: a population-based study.1 passage
• Evening and overnight closed-loop control versus 24/7 continuous closed-loop control for type 1 diabetes: a randomised crossover trial.1 passage
• Feasibility and performance of a device for automatic self-detection of symptomatic acute coronary artery occlusion in outpatients with coronary artery disease: a multicentre observational study.1 passage
• Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension.1 passage
• Harnessing wearable device data to improve state-level real-time surveillance of influenza-like illness in the USA: a population-based study.1 passage
• Health data poverty: an assailable barrier to equitable digital health care.1 passage
• Health information technology and digital innovation for national learning health and care systems.1 passage
• Healthy ageing through internet counselling in the elderly (HATICE): a multinational, randomised controlled trial.1 passage
• Heart rate variability with photoplethysmography in 8 million individuals: a cross-sectional study.1 passage
• Improving the health of young African American women in the preconception period using health information technology: a randomised controlled trial.1 passage
• Indirect acute effects of the COVID-19 pandemic on physical and mental health in the UK: a population-based study.1 passage
• Inferring pain experience in infants using quantitative whole-brain functional MRI signatures: a cross-sectional, observational study.1 passage
• Innovative intelligent insole system reduces diabetic foot ulcer recurrence at plantar sites: a prospective, randomised, proof-of-concept study.1 passage
• Key use cases for artificial intelligence to reduce the frequency of adverse drug events: a scoping review.1 passage
• Long-term mortality risk stratification of liver transplant recipients: real-time application of deep learning algorithms on longitudinal data.1 passage
• Mask-wearing and control of SARS-CoV-2 transmission in the USA: a cross-sectional study.1 passage
• Measuring mobility to monitor travel and physical distancing interventions: a common framework for mobile phone data analysis.1 passage
• Medication errors and adverse drug events in a UK hospital during the optimisation of electronic prescriptions: a prospective observational study.1 passage
• Microneedle biosensors for real-time, minimally invasive drug monitoring of phenoxymethylpenicillin: a first-in-human evaluation in healthy volunteers.1 passage
• Mortality and morbidity 1 year after stopping a remote patient management intervention: extended follow-up results from the telemedical interventional management in patients with heart failure II (TIM-HF2) randomised trial.1 passage
• Multi-step validation of a deep learning-based system for the quantification of bowel preparation: a prospective, observational study.1 passage
• Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study.1 passage
• Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review.1 passage
• Performance of intensive care unit severity scoring systems across different ethnicities in the USA: a retrospective observational study.1 passage
• Personalising add-on treatment with inhaled corticosteroids in patients with chronic obstructive pulmonary disease: a benefit-harm modelling study.1 passage
• Precision screening for familial hypercholesterolaemia: a machine learning study applied to electronic health encounter data.1 passage
• Predicted COVID-19 positive cases, hospitalisations, and deaths associated with the Delta variant of concern, June-July, 2021.1 passage
• Predicting the risk of developing diabetic retinopathy using deep learning.1 passage
• Prediction of lung cancer risk at follow-up screening with low-dose CT: a training and validation study of a deep learning method.1 passage
• Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithms.1 passage
• Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study.1 passage
• Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study.1 passage
• Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test.1 passage
• Referral for disease-related visual impairment using retinal photograph-based deep learning: a proof-of-concept, model development study.1 passage
• Renin-angiotensin system blockers and susceptibility to COVID-19: an international, open science, cohort analysis.1 passage
• Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension.1 passage
• Retinal photograph-based deep learning algorithms for myopia and a blockchain platform to facilitate artificial intelligence medical research: a retrospective multicohort study.1 passage
• Risk of acute respiratory infection and acute cardiovascular events following acute respiratory infection among adults with increased cardiovascular risk in England between 2008 and 2018: a retrospective, population-based cohort study.1 passage
• Screening and identifying hepatobiliary diseases through deep learning using ocular images: a prospective, multicentre study.1 passage
• Smartphone and social media-based cardiac rehabilitation and secondary prevention in China (SMART-CR/SP): a parallel-group, single-blind, randomised controlled trial.1 passage
• Suicide prevention using self-guided digital interventions: a systematic review and meta-analysis of randomised controlled trials.1 passage
• Survival prediction in intensive-care units based on aggregation of long-term disease history and acute physiology: a retrospective study of the Danish National Patient Registry and electronic patient records.1 passage
• Temporal trends and forecasting of COVID-19 hospitalisations and deaths in Scotland using a national real-time patient-level data platform: a statistical modelling study.1 passage
• The European artificial intelligence strategy: implications and challenges for digital health.1 passage
• The association of community mobility with the time-varying reproduction number (R) of SARS-CoV-2: a modelling study across 330 local UK authorities.1 passage
• The effect of digital physical activity interventions on daily step count: a randomised controlled crossover substudy of the MyHeart Counts Cardiovascular Health Study.1 passage
• The effect of population mobility on COVID-19 incidence in 314 Latin American cities: a longitudinal ecological study with mobile phone location data.1 passage
• The effects and preventability of 2627 patient safety incidents related to health information technology failures: a retrospective analysis of 10 years of incident reporting in England and Wales.1 passage
• The false hope of current approaches to explainable artificial intelligence in health care.1 passage
• The myth of generalisability in clinical research and machine learning in health care.1 passage
• The need for feminist intersectionality in digital health.1 passage
• The use of a next-generation sequencing-derived machine-learning risk-prediction model (OncoCast-MPM) for malignant pleural mesothelioma: a retrospective study.1 passage
• Time to reality check the promises of machine learning-powered precision medicine.1 passage
• Towards large-scale case-finding: training and validation of residual networks for detection of chronic obstructive pulmonary disease using low-dose CT.1 passage
• Tuberculosis detection from chest x-rays for triaging in a high tuberculosis-burden setting: an evaluation of five artificial intelligence algorithms.1 passage
• Two-way mobile phone intervention compared with standard-of-care adherence support after second-line antiretroviral therapy failure: a multinational, randomised controlled trial.1 passage
• User characteristics and outcomes from a national digital mental health service: an observational study of registrants of the Australian MindSpot Clinic.1 passage
• Wearable device signals and home blood pressure data across age, sex, race, ethnicity, and clinical phenotypes in the Michigan Predictive Activity & Clinical Trajectories in Health (MIPACT) study: a prospective, community-based observational study.1 passage
• What social media told us in the time of COVID-19: a scoping review.1 passage
• Wireless skin sensors for physiological monitoring of infants in low-income and middle-income countries.1 passage
• X-ray dark-field chest imaging for detection and quantification of emphysema in patients with chronic obstructive pulmonary disease: a diagnostic accuracy study.1 passage