npj Digital Medicine

Article	Citations
Machine learning model for differentiating xanthogranulomatous cholecystitis and gallbladder cancer in multicenter largescale study	824
Prognostic model and U-shaped SBP-risk correlation in unstable pelvic fractures with TBI	764
Seasonal timing and interindividual differences in shiftwork adaptation	548
A comparison of self-reported COVID-19 symptoms between android and iOS CoronaCheck app users	536
Interpretable Multiomics Models for Predicting Surgical Interventions and Blood Transfusion Requirements in Traumatic Brain Injury	526
Challenges in applying the EU AI act research exemptions to contemporary AI research	487
Promoting racial equity in digital health: applying a cross-disciplinary equity framework	435
Dose–response relationship between computerized cognitive training and cognitive improvement	431
Computational strategic recruitment for representation and coverage studied in the All of Us Research Program	396
Will AI become our Co-PI?	343
Scoping review of deep learning research illuminates artificial intelligence chasm in otolaryngology-head and neck surgery	333
Protecting clinical value judgment in the age of AI	328
Breaking geographic and language barriers in neuropsychology: online administration of MoCA in diverse populations	317
Author Correction: Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality	316
Addressing racial disparities in surgical care with machine learning	312
Unobtrusive inference of diurnal rhythms from smartphone data	301
A hybrid machine learning approach for the personalized prognostication of aggressive skin cancers	294
Validation of Amazon Halo Movement: a smartphone camera-based assessment of movement health	293
Negative control-calibrated difference-in-difference analyses: addressing unmeasured confounding in RWD with application to racial/ethnic differences	289
Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial	272
Metabolomic characterization of frailty identifies subtype-specific management strategies	271
Next-generation AI framework for comprehensive oral leukoplakia evaluation and management	263
Generalized multi task learning framework for glucose forecasting and hypoglycemia detection using simulation to reality	255
Incorporating large language models as clinical decision support in oncology: the Woollie model	243
Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma	240

Predicting 1-year successful clinical use of an arteriovenous access for hemodialysis using machine learning	239
Patch-to-slide fusion deep learning model for histological diagnosis of early pregnancy loss including hydatidiform mole	220
Differentiable centerline-aware framework for aneurysm neck delineation in volumetric angiography	215
Computational network models for forecasting and control of mental health trajectories in digital applications	208
Effectiveness of automated alerting system compared to usual care for the management of sepsis	201
Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data	190
AI-based skin cancer detection: the balance between access and overutilization	188
Patient agency and large language models in worldwide encoding of equity	186
Foundation model embeddings for multimodal oncology data integration	182
Challenges and recommendations for enhancing digital data protection in Indian Medical Research and Healthcare Sector	175
DARE-FUSE: domain aligned evidence guided learning for joint brain tumor MRI segmentation and classification	175
AI-driven virtual cell models in preclinical research: technical pathways, validation mechanisms, and clinical translation potential	167
Defining digital surgery for the future	165
Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data	154
Policy brief: ambient AI scribes and the coding arms race	153
Watching Parkinson’s disease with wrist-based sensors	151
Establishing organizational AI governance in healthcare: a case study in Canada	141
Machine learning on interictal intracranial EEG predicts surgical outcome in drug resistant epilepsy	139
Early adverse physiological event detection using commercial wearables: challenges and opportunities	138
Large language models-enabled digital twins for precision medicine in rare gynecological tumors	138
Evaluating evidence-based health information from generative AI using a cross-sectional study with laypeople seeking screening information	136
Evaluating human-in-the-loop strategies for artificial intelligence-enabled translation of patient discharge instructions: a multidisciplinary analysis	127
Why we should not mistake accuracy of medical AI for efficiency	126
Situating governance and regulatory concerns for generative artificial intelligence and large language models in medical education	122
Rapid prediction of cardiac activation in the left ventricle with geometric deep learning: a step towards cardiac resynchronization therapy planning	119
Clinically meaningful interpretability of an AI model for ECG classification	116
Small language models learn enhanced reasoning skills from medical textbooks	114
Clinical usefulness of digital twin guided virtual amiodarone test in patients with atrial fibrillation ablation	112
Use of AI scribes in UK primary care: a survey of general practitioners	112
Multimodal analysis of whole slide images in colorectal cancer	108
An adversarial training framework for mitigating algorithmic biases in clinical machine learning	108
Systematic review to understand users perspectives on AI-enabled decision aids to inform shared decision making	108
A randomized trial of a mobile health intervention to augment cardiac rehabilitation	106
Reasoning red teaming in healthcare not all paths to a desired outcome are desirable	105
India’s evolving digital health strategy	102
TIMER: temporal instruction modeling and evaluation for longitudinal clinical records	102
The impact of inconsistent human annotations on AI driven clinical decision making	101
A Representation Fusion Framework for Decoupling Diagnostic Information in Multimodal Learning	98
A scoping review of reporting gaps in FDA-approved AI medical devices	97
Prompt-mamba filtering networks for accurate hepatocellular carcinoma lesion segmentation in abdominal CT	97
Predicting outcomes following endovascular aortoiliac revascularization using machine learning	97
Real world evidence for altered communication patterns in individuals with autism spectrum disorder	97
Fibricheck detection capabilities for atrial fibrillation (FDA–AF): a multicenter validation study	96
Variational Bayes machine learning for risk adjustment of general outcome indicators with examples in urology	96
Exploiting large language models for diagnosing autism associated language disorders and identifying distinct features	95
Using digital technologies to diagnose in the home: recommendations from a Delphi panel	95
Development and validation of a novel blood-based biomarker for gastric cancer triage in chronic dyspepsia	94
Real-time AI-assisted quality control during nasopharyngolaryngoscopy: a randomized controlled trial	94
High-dimensional item response theory analysis of patient-reported outcomes in total knee arthroplasty	92
Combined telemonitoring and telecoaching for heart failure improves outcome	92

The impact of expanded telehealth availability on primary care utilization	91
Meta-analysis of randomized controlled trials of electronic health interventions to reduce medication errors	91
Non-invasive chronic kidney disease risk stratification tool derived from retina-based deep learning and clinical factors	91
An active inference strategy for prompting reliable responses from large language models in medical practice	90
Disparities in cannabis use and documentation in electronic health records among children and young adults	90
Improving medical machine learning models with generative balancing for equity and excellence	90
Intelligent quality control for first trimester ultrasound scans in Liaoning Province of China	89
AI-driven smartphone screening for acute COPD exacerbations: enhancing health equity in developing regions	89
Real-world multicenter assessment of sustained clinical outcomes after digital deep brain stimulation	88
A Bayesian-driven approach to identify racial inequities in longitudinal care delivery	88
The performance of a deep learning system in assisting junior ophthalmologists in diagnosing 13 major fundus diseases: a prospective multi-center clinical trial	88
Association of accelerometer-derived circadian abnormalities and genetic risk with incidence of atrial fibrillation	87
Exploring the potential of digital biomarkers as a measure of brain health ‘capital’	86
Transdiagnostic-focused apps for depression and anxiety: a meta-analysis	86
Credibility assessment of a mechanistic model of atherosclerosis to predict cardiovascular outcomes under lipid-lowering therapy	85
A multimodal uncertainty-aware AI system optimizes ovarian cancer risk assessment workflow	85
Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer’s disease with real-world clinical validation	85
Identifying what works in mental health apps through meta-regression analyses of 169 trials	85
Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson’s disease	84
Cohort vs case–control design for transformer-based prediction of asthma exacerbations in mild asthma	84
Trial emulation for validating the clinical efficacy of a foundational AI model in embryo selection	83
Do engagement and behavioural mechanisms underpin the effectiveness of the Drink Less app?	82
Clinician engagement shapes the impact of AI-based ECG screening for chronic liver disease in primary care	82
In-ear infrasonic hemodynography with a digital health device for cardiovascular monitoring using the human audiome	82
Matters arising: Utilizing foundation models for developing clinical tools	81
PAM: a propagation-based model for segmenting any 3D objects across multi-modal medical images	81
Boosting foundation models for rare eye disease diagnosis via a multimodal text-to-image generative framework	80
A Novel method for quantifying fluctuations in wearable derived daily cardiovascular parameters across the menstrual cycle	78
Demographic bias in public remote photoplethysmography datasets	78
Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning	78
Artificial intelligence-based personalized treatment strategies for unresectable hepatocellular carcinoma: integrating HSP90α for prognosis and survival prediction	78
The relation between passively collected data and PTSD: a systematic review and meta-analysis	77
Physics-informed neural networks for modeling physiological time series for cuffless blood pressure estimation	77
A weakly supervised transformer for rare disease diagnosis and subphenotyping from EHRs with pulmonary case studies	75
Integrating personalized shape prediction, biomechanical modeling, and wearables for bone stress prediction in runners	75
Implementation report on pioneering federated data access for the German National Emergency Department Data Registry	75
A dynamic risk prediction framework for Alzheimer's disease and related dementias with interpretability	75
Impact of missing electronic fetal monitoring signals on perinatal asphyxia: a multicohort analysis	75
Deep learning for malignancy and tumor origin prediction using cytology or histopathology whole slide images	74
A Global meta-analysis of digital divide in psychiatric population from 2004 to 2023	74
The regulation of artificial intelligence in intensive care units: from narrow tools to generalist systems	74
Classification of intracranial pressure epochs using a novel machine learning framework	74
ScarElastic: continuous elasticity field modeling for myocardial scar delineation in LGE-CMR	74
Anatomically-guided Masked Autoencoder with Domain-Adaptive Prompting (AMAP) for multimodal cerebral aneurysm detection and segmentation	74
Publisher Correction: Development and assessment of a machine learning tool for predicting emergency admission in Scotland	73
KT-LLM: an evidence-grounded and sequence text framework for auditable kidney transplant modeling	72
Telehealth virtual reality intervention reduces chronic pain in a randomized crossover study	71
Large language model agents can use tools to perform clinical calculations	71
Impact of the new European medical device regulation on digital health manufacturers	71
Applying machine learning to consumer wearable data for the early detection of complications after pediatric appendectomy	71
A typology of physician input approaches to using AI chatbots for clinical decision-making	71
Joint AI-driven event prediction and longitudinal modeling in newly diagnosed and relapsed multiple myeloma	70
From virtual patients to digital twins in immuno-oncology: lessons learned from mechanistic quantitative systems pharmacology modeling	70
A scoping review of ethical aspects of public-private partnerships in digital health	70
Reimagining psychiatric care with agentic AI: promise, challenges, and a roadmap forward	70
AI in Histopathology Explorer for comprehensive analysis of the evolving AI landscape in histopathology	68
Effectiveness of telehealth versus in-person care during the COVID-19 pandemic: a systematic review	68
When helpfulness backfires: LLMs and the risk of false medical information due to sycophantic behavior	68
Circadian rhythm biomarker from wearable device data is related to concurrent antidepressant treatment response	67
Making machine learning matter to clinicians: model actionability in medical decision-making	67
Predicting appropriateness of antibiotic treatment among ICU patients with hospital-acquired infection	65
A mobile health application that supports a patient centered approach to cardiovascular risk management	65
Prospective clinical evaluation of deep learning for ultrasonographic screening of abdominal aortic aneurysms	64
Effective monitoring of online AI decision-making algorithms in just-in-time adaptive interventions	64
A randomized controlled trial of a digital lifestyle intervention involving postoperative patients with colorectal cancer	64
Responsible development of clinical speech AI: Bridging the gap between clinical research and technology	64
Improving prognostic accuracy in lung transplantation using unique features of isolated human lung radiographs	64
Blood glucose variance measured by continuous glucose monitors across the menstrual cycle	64
Diagnostic accuracy of telemedicine for detection of surgical site infection: a systematic review and meta-analysis	64
Multicenter evaluation of interpretable AI for coronary artery disease diagnosis from PET biomarkers	64
Optical coherence tomography choroidal enhancement using generative deep learning	63
Enhancing ocular sign detection: AI-based strategic segmentation for improved accuracy and privacy protection	63
Deep learning based volumetric analysis of infrarenal abdominal aortic aneurysms characterized on CTA	63
Author Correction: Leveraging AI and transfer learning to enhance out-of-hospital cardiac arrest outcome prediction in diverse setting	62
Comparative analysis of natural language processing methodologies for classifying computed tomography enterography reports in Crohn’s disease patients	62
Text-image alignment for ILD imaging: linking CXR evidence to CT quantification	62
Dynamic associations between glucose and ecological momentary cognition in Type 1 Diabetes	62
Multimodal machine learning for risk-stratified bundled payments in spinal surgery	62
Author Correction: Enhancing attention in children using an integrated cognitive-physical videogame: A pilot study	61
Evaluating commercial multimodal AI for diabetic eye screening and implications for an alternative regulatory pathway	61

Real-time near infrared artificial intelligence using scalable non-expert crowdsourcing in colorectal surgery	61
Predicting recovery after stressors using step count data derived from activity monitors	60
Diagnosing pathologic myopia by identifying morphologic patterns using ultra widefield images with deep learning	60
Engaging a national-scale cohort of smart thermometer users in participatory surveillance	60
Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysis	60
The case for inclusive co-creation in digital health innovation	59
Integrating multi-omics and machine learning systematically deciphers cellular heterogeneity and fibrotic regulatory networks in the progression from MASLD to MASH	59
The hospital at home in the USA: current status and future prospects	59
Artificial intelligence-derived retinal age gap as a marker for reproductive aging in women	58
Interpretable multimodal transformer for prediction of molecular subtypes and grades in adult-type diffuse gliomas	58
AI technology to support adaptive functioning in neurodevelopmental conditions in everyday environments: a systematic review	58
Evaluation of causal reasoning for large language models in contextualized clinical scenarios of laboratory test interpretation	58
Implementing quality management systems to close the AI translation gap and facilitate safe, ethical, and effective health AI solutions	58
Development and validation of an interpretable risk prediction model for the early classification of thalassemia	58
Accuracy of dental implant placement using different dynamic navigation and robotic systems: an in vitro study	58
Deep learning-enabled multiphoton microscopy predicts colorectal cancer recurrence from routine FFPE specimens	57
Feasibility of anomaly score detected with deep learning in irradiated breast cancer patients with reconstruction	57
SpeechCARE: dynamic multimodal modeling for cognitive screening in diverse linguistic and speech task contexts	57
Publisher Correction: Rapid prediction of cardiac activation in the left ventricle with geometric deep learning: a step towards cardiac resynchronization therapy planning	57
Benchmarking large language models for personalized, biomarker-based health intervention recommendations	56
A multilevel meta-analysis of passive smartphone sensing of adolescent mental health	56
Artificial intelligence tools in supporting healthcare professionals for tailored patient care	56
Economic evaluation for medical artificial intelligence: accuracy vs. cost-effectiveness in a diabetic retinopathy screening case	56
A unified deep learning framework for cross-platform harmonization of multi-tracer PET quantification in neurodegenerative disease	56
Closing the gap: addressing telehealth disparities across specialties in the sustained pandemic era	55
Examining human-AI interaction in real-world healthcare beyond the laboratory	55
Health data justice: building new norms for health data governance	55
A simulation based digital twin approach to assessing the organization of response to emergency calls	55
African digital health strategic plans analysis: key weaknesses in contextualization, intervention focus, and technological foresight	55
The three-year evolution of Germany’s Digital Therapeutics reimbursement program and its path forward	54
Shortcut learning in medical AI hinders generalization: method for estimating AI model generalization without external data	54
Peer perceptions of clinicians using generative AI in medical decision-making	54
A framework for digital health equity	54
Sensor wide association studies in digital medicine	54
Deep learning-based mobile application for efficient eyelid tumor recognition in clinical images	54
Systematic review and meta-analysis of artificial intelligence in classifying HER2 status in breast cancer immunohistochemistry	54
Shedding light on the dynamic interplay of positive and negative symptoms of psychosis with Behavioral Tractography	53
Therapeutic outcomes of different treatment approaches for T1a-M3/T1b esophageal cancer and development of a prognostic prediction model	53
The industry impact of the American Medical Association’s Digital Medicine Payment Advisory Group (DMPAG)	53
Vision-Enabled AI scribes reduce omissions in clinical conversations: evidence from simulated medication histories	52
Mechanisms of action for digital therapeutics	52
Cross sectional pilot study on clinical review generation using large language models	51
Continuous and componentized facial palsy measurement alignment and clinical interpretable model	51
Impact of an AI prognostic tool on clinician performance in colorectal liver metastases	51
Machine learning based CAGIB score predicts in-hospital mortality of cirrhotic patients with acute gastrointestinal bleeding	50
Digital humanistic program to manage premature frailty in young breast cancer survivors with gender perspective	50
Towards precision medicine based on a continuous deep learning optimization and ensemble approach	50
Federated target trial emulation using distributed observational data for treatment effect estimation	50
Expanding care coordination in an integrated health system through causal machine learning	48
SynthEHR-eviction: enhancing eviction SDoH detection with LLM-augmented synthetic EHR data	48
Virtual fitness buddy ecosystem: a mixed reality precision health physical activity intervention for children	48
Regular snoring is associated with uncontrolled hypertension	48
Prediction of antibiotic-associated cutaneous adverse drug reactions using electronic health record foundation models	48
Leveraging large language models to extract smoking history from clinical notes for lung cancer surveillance	48
Structure-aware multi-task learning with domain generalization for robust vertebrae analysis in spinal CT	48
Large language model-augmented offline reinforcement learning framework for sepsis management in critical care	48
Reinforcement learning improves LLM accuracy and reasoning in disease classification from radiology reports	47
Knockoff-ML: a knockoff machine learning framework for controlled variable selection and risk stratification in electronic health record data	47
Streamlined machine learning model for early sepsis risk prediction in burn patients	47
AI-driven label-free Raman spectromics for intraoperative spinal tumor assessment	47
Noninvasive molecular subtyping of breast cancer using multimodal ultrasound spatiotemporal transformer	47
Machine learning-enabled spatial multi-omics uncovers lactate-driven targets and tumor microenvironmental reprogramming in cancer	47
Digital biomarkers for non-motor symptoms in Parkinson’s disease: the state of the art	46
Digital health application integrating wearable data and behavioral patterns improves metabolic health	46
A strategy for cost-effective large language model use at health system-scale	46
Decomposing heterogeneity in disease progression speeds and pathways	46
Digital twin models for predicting venetoclax and azacitidine-induced neutropenia in patients with acute myeloid leukemia	46
Pandemic-proof recruitment and engagement in a fully decentralized trial in atrial fibrillation patients (DeTAP)	46
Reimbursement in the age of generalist radiology artificial intelligence	45
Large language models require a new form of oversight: capability-based monitoring	45
Rating analysis and BERTopic modeling of consumer versus regulated mHealth app reviews in Germany	45
Artificial intelligence for surgical scene understanding: a systematic review and reporting quality meta-analysis	45
Could transparent model cards with layered accessible information drive trust and safety in health AI?	45
Machine learning predicts sepsis deterioration trajectories	45
Predicting non-muscle invasive bladder cancer outcomes using artificial intelligence: a systematic review using APPRAISE-AI	44
Algorithm-driven HPV vaccine allocation paradigm for cervical cancer elimination targeting the Chinese population	44
Generative artificial intelligence: the ‘more knowledgeable other’ in a social constructivist framework of medical education	44
Assessing and alleviating state anxiety in large language models	44
Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions	43
Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmias	43
A generative approach for semantic auditing of electronic health records	43
Explainable artificial intelligence for mental health through transparency and interpretability for understandability	43
Independent and collaborative performance of large language models and healthcare professionals in diagnosis and triage	43
Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression	43
Guidance for unbiased predictive information for healthcare decision-making and equity (GUIDE): considerations when race may be a prognostic factor	43
Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review	42
Medical foundation large language models for comprehensive text analysis and beyond	42
A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis	42
Natural language processing in mixed-methods evaluation of a digital sleep-alcohol intervention for young adults	42
A critical assessment of using ChatGPT for extracting structured data from clinical notes	42
Digital twins for the era of personalized surgery	42
Large language models provide unsafe answers to patient-posed medical questions	42
Predictive modeling of hemodynamics during viscerosensory neurostimulation via neural computation mechanism in the brainstem	42
Multimodal deep learning for cancer prognosis prediction with clinical information prompts integration	42
Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials	42