npj Digital Medicine

Article	Citations
Seasonal timing and interindividual differences in shiftwork adaptation	799
Evaluating human-in-the-loop strategies for artificial intelligence-enabled translation of patient discharge instructions: a multidisciplinary analysis	745
Effectiveness of automated alerting system compared to usual care for the management of sepsis	516
Clinically meaningful interpretability of an AI model for ECG classification	516
AI-based skin cancer detection: the balance between access and overutilization	509
Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data	470
Rapid prediction of cardiac activation in the left ventricle with geometric deep learning: a step towards cardiac resynchronization therapy planning	416
Computational strategic recruitment for representation and coverage studied in the All of Us Research Program	401
Challenges in applying the EU AI act research exemptions to contemporary AI research	379
Promoting racial equity in digital health: applying a cross-disciplinary equity framework	331
Will AI become our Co-PI?	320
Scoping review of deep learning research illuminates artificial intelligence chasm in otolaryngology-head and neck surgery	318
Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data	313
Dose–response relationship between computerized cognitive training and cognitive improvement	309
Watching Parkinson’s disease with wrist-based sensors	308
Author Correction: Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality	304
Defining digital surgery for the future	289
Systematic review to understand users perspectives on AI-enabled decision aids to inform shared decision making	283
Patch-to-slide fusion deep learning model for histological diagnosis of early pregnancy loss including hydatidiform mole	276
Situating governance and regulatory concerns for generative artificial intelligence and large language models in medical education	270
Incorporating large language models as clinical decision support in oncology: the Woollie model	262
Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma	248
Predicting 1-year successful clinical use of an arteriovenous access for hemodialysis using machine learning	247
India’s evolving digital health strategy	241
Computational network models for forecasting and control of mental health trajectories in digital applications	233

Differentiable centerline-aware framework for aneurysm neck delineation in volumetric angiography	226
Reasoning red teaming in healthcare not all paths to a desired outcome are desirable	226
A randomized trial of a mobile health intervention to augment cardiac rehabilitation	211
Next-generation AI framework for comprehensive oral leukoplakia evaluation and management	196
A scoping review of reporting gaps in FDA-approved AI medical devices	193
The impact of inconsistent human annotations on AI driven clinical decision making	185
AI-driven virtual cell models in preclinical research: technical pathways, validation mechanisms, and clinical translation potential	180
Evaluating evidence-based health information from generative AI using a cross-sectional study with laypeople seeking screening information	179
Why we should not mistake accuracy of medical AI for efficiency	177
Patient agency and large language models in worldwide encoding of equity	170
Small language models learn enhanced reasoning skills from medical textbooks	166
Clinical usefulness of digital twin guided virtual amiodarone test in patients with atrial fibrillation ablation	164
Large language models-enabled digital twins for precision medicine in rare gynecological tumors	163
Generalized multi task learning framework for glucose forecasting and hypoglycemia detection using simulation to reality	161
Interpretable Multiomics Models for Predicting Surgical Interventions and Blood Transfusion Requirements in Traumatic Brain Injury	150
Addressing racial disparities in surgical care with machine learning	149
DARE-FUSE: domain aligned evidence guided learning for joint brain tumor MRI segmentation and classification	143
Early adverse physiological event detection using commercial wearables: challenges and opportunities	143
A Representation Fusion Framework for Decoupling Diagnostic Information in Multimodal Learning	138
A comparison of self-reported COVID-19 symptoms between android and iOS CoronaCheck app users	136
Multimodal analysis of whole slide images in colorectal cancer	132
Machine learning model for differentiating xanthogranulomatous cholecystitis and gallbladder cancer in multicenter largescale study	127
Policy brief: ambient AI scribes and the coding arms race	126
Prognostic model and U-shaped SBP-risk correlation in unstable pelvic fractures with TBI	125
A hybrid machine learning approach for the personalized prognostication of aggressive skin cancers	117
Validation of Amazon Halo Movement: a smartphone camera-based assessment of movement health	117
Foundation model embeddings for multimodal oncology data integration	116
Negative control-calibrated difference-in-difference analyses: addressing unmeasured confounding in RWD with application to racial/ethnic differences	114
Breaking geographic and language barriers in neuropsychology: online administration of MoCA in diverse populations	113
Machine learning on interictal intracranial EEG predicts surgical outcome in drug resistant epilepsy	112
TIMER: temporal instruction modeling and evaluation for longitudinal clinical records	107
Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial	107
Protecting clinical value judgment in the age of AI	106
Unobtrusive inference of diurnal rhythms from smartphone data	104
Challenges and recommendations for enhancing digital data protection in Indian Medical Research and Healthcare Sector	104
Metabolomic characterization of frailty identifies subtype-specific management strategies	103
An adversarial training framework for mitigating algorithmic biases in clinical machine learning	101
Establishing organizational AI governance in healthcare: a case study in Canada	101
Predicting outcomes following endovascular aortoiliac revascularization using machine learning	98
A Novel method for quantifying fluctuations in wearable derived daily cardiovascular parameters across the menstrual cycle	96
Prompt-mamba filtering networks for accurate hepatocellular carcinoma lesion segmentation in abdominal CT	95
ScarElastic: continuous elasticity field modeling for myocardial scar delineation in LGE-CMR	95
Using digital technologies to diagnose in the home: recommendations from a Delphi panel	94
Predicting appropriateness of antibiotic treatment among ICU patients with hospital-acquired infection	93
A multimodal uncertainty-aware AI system optimizes ovarian cancer risk assessment workflow	92
AI-driven smartphone screening for acute COPD exacerbations: enhancing health equity in developing regions	92
An active inference strategy for prompting reliable responses from large language models in medical practice	91
Circadian rhythm biomarker from wearable device data is related to concurrent antidepressant treatment response	90
Improving medical machine learning models with generative balancing for equity and excellence	90
Deep learning for malignancy and tumor origin prediction using cytology or histopathology whole slide images	90

The regulation of artificial intelligence in intensive care units: from narrow tools to generalist systems	89
Disparities in cannabis use and documentation in electronic health records among children and young adults	89
Impact of missing electronic fetal monitoring signals on perinatal asphyxia: a multicohort analysis	88
A Bayesian-driven approach to identify racial inequities in longitudinal care delivery	87
Integrating personalized shape prediction, biomechanical modeling, and wearables for bone stress prediction in runners	87
Classification of intracranial pressure epochs using a novel machine learning framework	86
A Global meta-analysis of digital divide in psychiatric population from 2004 to 2023	86
Anatomically-guided Masked Autoencoder with Domain-Adaptive Prompting (AMAP) for multimodal cerebral aneurysm detection and segmentation	86
Publisher Correction: Development and assessment of a machine learning tool for predicting emergency admission in Scotland	86
Matters arising: Utilizing foundation models for developing clinical tools	86
PAM: a propagation-based model for segmenting any 3D objects across multi-modal medical images	86
Fibricheck detection capabilities for atrial fibrillation (FDA–AF): a multicenter validation study	85
Credibility assessment of a mechanistic model of atherosclerosis to predict cardiovascular outcomes under lipid-lowering therapy	85
Real world evidence for altered communication patterns in individuals with autism spectrum disorder	84
Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer’s disease with real-world clinical validation	84
Exploiting large language models for diagnosing autism associated language disorders and identifying distinct features	84
Variational Bayes machine learning for risk adjustment of general outcome indicators with examples in urology	84
Intelligent quality control for first trimester ultrasound scans in Liaoning Province of China	83
Trial emulation for validating the clinical efficacy of a foundational AI model in embryo selection	82
Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson’s disease	81
Cohort vs case–control design for transformer-based prediction of asthma exacerbations in mild asthma	80
In-ear infrasonic hemodynography with a digital health device for cardiovascular monitoring using the human audiome	79
Meta-analysis of randomized controlled trials of electronic health interventions to reduce medication errors	79
AI in Histopathology Explorer for comprehensive analysis of the evolving AI landscape in histopathology	79
High-dimensional item response theory analysis of patient-reported outcomes in total knee arthroplasty	78
Artificial intelligence-based personalized treatment strategies for unresectable hepatocellular carcinoma: integrating HSP90α for prognosis and survival prediction	78
The impact of expanded telehealth availability on primary care utilization	77
Non-invasive chronic kidney disease risk stratification tool derived from retina-based deep learning and clinical factors	77
Development and validation of a novel blood-based biomarker for gastric cancer triage in chronic dyspepsia	77
Real-time AI-assisted quality control during nasopharyngolaryngoscopy: a randomized controlled trial	77
Reimagining psychiatric care with agentic AI: promise, challenges, and a roadmap forward	76
Exploring the potential of digital biomarkers as a measure of brain health ‘capital’	76
Combined telemonitoring and telecoaching for heart failure improves outcome	76
Real-world multicenter assessment of sustained clinical outcomes after digital deep brain stimulation	76
KT-LLM: an evidence-grounded and sequence text framework for auditable kidney transplant modeling	75
Demographic bias in public remote photoplethysmography datasets	74
A weakly supervised transformer for rare disease diagnosis and subphenotyping from EHRs with pulmonary case studies	74
Effectiveness of telehealth versus in-person care during the COVID-19 pandemic: a systematic review	74
Boosting foundation models for rare eye disease diagnosis via a multimodal text-to-image generative framework	74
Applying machine learning to consumer wearable data for the early detection of complications after pediatric appendectomy	74
Transdiagnostic-focused apps for depression and anxiety: a meta-analysis	73
A typology of physician input approaches to using AI chatbots for clinical decision-making	73
Implementation report on pioneering federated data access for the German National Emergency Department Data Registry	73
Identifying what works in mental health apps through meta-regression analyses of 169 trials	73
Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning	73
The relation between passively collected data and PTSD: a systematic review and meta-analysis	72
Large language model agents can use tools to perform clinical calculations	70
Telehealth virtual reality intervention reduces chronic pain in a randomized crossover study	70
Joint AI-driven event prediction and longitudinal modeling in newly diagnosed and relapsed multiple myeloma	70
Making machine learning matter to clinicians: model actionability in medical decision-making	70
Association of accelerometer-derived circadian abnormalities and genetic risk with incidence of atrial fibrillation	69
Do engagement and behavioural mechanisms underpin the effectiveness of the Drink Less app?	69
The performance of a deep learning system in assisting junior ophthalmologists in diagnosing 13 major fundus diseases: a prospective multi-center clinical trial	68
A scoping review of ethical aspects of public-private partnerships in digital health	67
Physics-informed neural networks for modeling physiological time series for cuffless blood pressure estimation	67
When helpfulness backfires: LLMs and the risk of false medical information due to sycophantic behavior	67
From virtual patients to digital twins in immuno-oncology: lessons learned from mechanistic quantitative systems pharmacology modeling	67
Benchmarking large language models for personalized, biomarker-based health intervention recommendations	66
Examining human-AI interaction in real-world healthcare beyond the laboratory	65
Engaging a national-scale cohort of smart thermometer users in participatory surveillance	65
A unified deep learning framework for cross-platform harmonization of multi-tracer PET quantification in neurodegenerative disease	64
Dynamic associations between glucose and ecological momentary cognition in Type 1 Diabetes	64
Evaluating commercial multimodal AI for diabetic eye screening and implications for an alternative regulatory pathway	64
Comparative analysis of natural language processing methodologies for classifying computed tomography enterography reports in Crohn’s disease patients	63
Improving prognostic accuracy in lung transplantation using unique features of isolated human lung radiographs	63
Real-time near infrared artificial intelligence using scalable non-expert crowdsourcing in colorectal surgery	62
Deep learning-enabled multiphoton microscopy predicts colorectal cancer recurrence from routine FFPE specimens	62
Systematic review and meta-analysis of artificial intelligence in classifying HER2 status in breast cancer immunohistochemistry	62
Author Correction: Enhancing attention in children using an integrated cognitive-physical videogame: A pilot study	62
Multimodal machine learning for risk-stratified bundled payments in spinal surgery	61
Feasibility of anomaly score detected with deep learning in irradiated breast cancer patients with reconstruction	61
Author Correction: Leveraging AI and transfer learning to enhance out-of-hospital cardiac arrest outcome prediction in diverse setting	61
Deep learning based volumetric analysis of infrarenal abdominal aortic aneurysms characterized on CTA	61
Text-image alignment for ILD imaging: linking CXR evidence to CT quantification	61
Deep learning-based mobile application for efficient eyelid tumor recognition in clinical images	60
Predicting recovery after stressors using step count data derived from activity monitors	59
African digital health strategic plans analysis: key weaknesses in contextualization, intervention focus, and technological foresight	59
A randomized controlled trial of a digital lifestyle intervention involving postoperative patients with colorectal cancer	59
Diagnosing pathologic myopia by identifying morphologic patterns using ultra widefield images with deep learning	59
Multicenter evaluation of interpretable AI for coronary artery disease diagnosis from PET biomarkers	59

Optical coherence tomography choroidal enhancement using generative deep learning	59
Health data justice: building new norms for health data governance	58
A mobile health application that supports a patient centered approach to cardiovascular risk management	58
Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysis	58
SpeechCARE: dynamic multimodal modeling for cognitive screening in diverse linguistic and speech task contexts	57
Evaluation of causal reasoning for large language models in contextualized clinical scenarios of laboratory test interpretation	57
Development and validation of an interpretable risk prediction model for the early classification of thalassemia	57
Enhancing ocular sign detection: AI-based strategic segmentation for improved accuracy and privacy protection	57
The hospital at home in the USA: current status and future prospects	57
Peer perceptions of clinicians using generative AI in medical decision-making	56
AI technology to support adaptive functioning in neurodevelopmental conditions in everyday environments: a systematic review	56
Prospective clinical evaluation of deep learning for ultrasonographic screening of abdominal aortic aneurysms	56
The case for inclusive co-creation in digital health innovation	56
Artificial intelligence-derived retinal age gap as a marker for reproductive aging in women	56
Blood glucose variance measured by continuous glucose monitors across the menstrual cycle	56
Integrating multi-omics and machine learning systematically deciphers cellular heterogeneity and fibrotic regulatory networks in the progression from MASLD to MASH	56
Implementing quality management systems to close the AI translation gap and facilitate safe, ethical, and effective health AI solutions	56
Interpretable multimodal transformer for prediction of molecular subtypes and grades in adult-type diffuse gliomas	55
Economic evaluation for medical artificial intelligence: accuracy vs. cost-effectiveness in a diabetic retinopathy screening case	55
The three-year evolution of Germany’s Digital Therapeutics reimbursement program and its path forward	55
Artificial intelligence tools in supporting healthcare professionals for tailored patient care	55
A simulation based digital twin approach to assessing the organization of response to emergency calls	54
Diagnostic accuracy of telemedicine for detection of surgical site infection: a systematic review and meta-analysis	54
Shortcut learning in medical AI hinders generalization: method for estimating AI model generalization without external data	54
Closing the gap: addressing telehealth disparities across specialties in the sustained pandemic era	54
Responsible development of clinical speech AI: Bridging the gap between clinical research and technology	54
A framework for digital health equity	54
Federated target trial emulation using distributed observational data for treatment effect estimation	53
Cross sectional pilot study on clinical review generation using large language models	53
Artificial intelligence for surgical scene understanding: a systematic review and reporting quality meta-analysis	53
Accuracy of dental implant placement using different dynamic navigation and robotic systems: an in vitro study	53
Digital humanistic program to manage premature frailty in young breast cancer survivors with gender perspective	53
AI-driven label-free Raman spectromics for intraoperative spinal tumor assessment	52
Towards precision medicine based on a continuous deep learning optimization and ensemble approach	52
Independent and collaborative performance of large language models and healthcare professionals in diagnosis and triage	52
Shedding light on the dynamic interplay of positive and negative symptoms of psychosis with Behavioral Tractography	52
The industry impact of the American Medical Association’s Digital Medicine Payment Advisory Group (DMPAG)	52
Therapeutic outcomes of different treatment approaches for T1a-M3/T1b esophageal cancer and development of a prognostic prediction model	52
Expanding care coordination in an integrated health system through causal machine learning	52
Leveraging large language models to extract smoking history from clinical notes for lung cancer surveillance	52
Machine learning predicts sepsis deterioration trajectories	51
Virtual fitness buddy ecosystem: a mixed reality precision health physical activity intervention for children	51
A strategy for cost-effective large language model use at health system-scale	50
Predicting non-muscle invasive bladder cancer outcomes using artificial intelligence: a systematic review using APPRAISE-AI	50
Mechanisms of action for digital therapeutics	50
Regular snoring is associated with uncontrolled hypertension	49
Pandemic-proof recruitment and engagement in a fully decentralized trial in atrial fibrillation patients (DeTAP)	49
A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis	49
SynthEHR-eviction: enhancing eviction SDoH detection with LLM-augmented synthetic EHR data	49
Rating analysis and BERTopic modeling of consumer versus regulated mHealth app reviews in Germany	48
Vision-Enabled AI scribes reduce omissions in clinical conversations: evidence from simulated medication histories	48
Guidance for unbiased predictive information for healthcare decision-making and equity (GUIDE): considerations when race may be a prognostic factor	48
Prediction of antibiotic-associated cutaneous adverse drug reactions using electronic health record foundation models	48
Continuous and componentized facial palsy measurement alignment and clinical interpretable model	48
Impact of an AI prognostic tool on clinician performance in colorectal liver metastases	47
Structure-aware multi-task learning with domain generalization for robust vertebrae analysis in spinal CT	47
Machine learning based CAGIB score predicts in-hospital mortality of cirrhotic patients with acute gastrointestinal bleeding	47
Large language model-augmented offline reinforcement learning framework for sepsis management in critical care	46
Could transparent model cards with layered accessible information drive trust and safety in health AI?	46
Machine learning-enabled spatial multi-omics uncovers lactate-driven targets and tumor microenvironmental reprogramming in cancer	45
Assessing and alleviating state anxiety in large language models	45
Digital twins for the era of personalized surgery	45
Medical foundation large language models for comprehensive text analysis and beyond	45
Knockoff-ML: a knockoff machine learning framework for controlled variable selection and risk stratification in electronic health record data	45
Large language models provide unsafe answers to patient-posed medical questions	45
Multimodal deep learning for cancer prognosis prediction with clinical information prompts integration	45
Digital biomarkers for non-motor symptoms in Parkinson’s disease: the state of the art	44
Digital health application integrating wearable data and behavioral patterns improves metabolic health	44
A critical assessment of using ChatGPT for extracting structured data from clinical notes	44
Reimbursement in the age of generalist radiology artificial intelligence	43
Explainable artificial intelligence for mental health through transparency and interpretability for understandability	43
Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review	43
Generative artificial intelligence: the ‘more knowledgeable other’ in a social constructivist framework of medical education	43
Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials	43
Digital twin models for predicting venetoclax and azacitidine-induced neutropenia in patients with acute myeloid leukemia	43
Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmias	43
Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression	43
Predictive modeling of hemodynamics during viscerosensory neurostimulation via neural computation mechanism in the brainstem	42
Streamlined machine learning model for early sepsis risk prediction in burn patients	42
Economic analysis of an AI-enabled ECG alert system: impact on mortality outcomes from a pragmatic randomized trial	42
Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions	42
How predictive medicine leads to solidarity gaps in health	42
Collection of the digital data from the neurological examination	41
Natural language processing in mixed-methods evaluation of a digital sleep-alcohol intervention for young adults	41
Machine learning-based quantitative prediction of drug exposure in drug-drug interactions using drug label information	41
Towards trustworthy seizure onset detection using workflow notes	40
Identifying major impact factors affecting the continuance intention of mHealth: a systematic review and multi-subgroup meta-analysis	40
From ageing clocks to human digital twins in personalising healthcare through biological age analysis	40
AI-driven preclinical disease risk assessment using imaging in UK biobank	40
Prospective real-world implementation of deep learning systems in healthcare: a systematic review guided by implementation science	40
Predicting individual differences in digital alcohol intervention effectiveness through multimodal data	39
Has increased telehealth access during COVID-19 led to over-utilization of primary care?	39
An operational target trial emulation framework for causal inference using electronic health record data	39
Preventing mental illness in children that experienced maltreatment the efficacy of REThink online therapeutic game	39
Unsupervised machine learning to investigate trajectory patterns of COVID-19 symptoms and physical activity measured via the MyHeart Counts App and smart devices	39