yusuke1997/dblp-id-title huggingface dataset:
Early prediction of diagnostic-related groups and estimation of hospital cost by processing clinical notes
Usability and adoption in a randomized trial of GutGPT a GenAI tool for gastrointestinal bleeding
Randomized clinical trial of a digital medication system to enhance adherence in patients with severe mental disorders
Age and environment-related differences in gait in healthy adults using wearables
Deep learning on routine full-breast mammograms enhances lymph node metastasis prediction in early breast cancer
Advancing cardiovascular care through actionable AI innovation
Clinically informed intermediate reasoning enables generalizable prostate cancer prognostication through machine learning in limited settings
The use of social features in mobile health interventions to promote physical activity: a systematic review
Enhancing post-kidney transplant prognostication: an interpretable machine learning approach for longitudinal outcome prediction
NeoCLIP: a self-supervised foundation model for the interpretation of neonatal radiographs
Transforming Psychiatry into Data-Driven Medicine with Digital Measurement Tools
Enabling fully automated insulin delivery through meal detection and size estimation using Artificial Intelligence
An end-to-end multifunctional AI platform for intraoperative diagnosis
Enhancing serious illness communication using artificial intelligence
Long-term outcomes of therapist-guided Internet-delivered cognitive behavior therapy for pediatric obsessive-compulsive disorder
The role of face regions in remote photoplethysmography for contactless heart rate monitoring
A flexible symbolic regression method for constructing interpretable clinical prediction models
DeepQuality improves infant retinopathy screening
Accuracy of a smartphone application for blood pressure estimation in Bangladesh, South Africa, and Tanzania
Development of a deep learning-based prediction model for postoperative delirium using intraoperative electroencephalogram in adults
Do we need prequalification of AI as a medical device to drive equitable adoption
Aligning knowledge concepts to whole slide images for precise histopathology image analysis
EchoGraph system for automated quality assessment of echocardiography reports
Dynamic models of stress-smoking responses based on high-frequency sensor data
A scoping review of reporting gaps in FDA-approved AI medical devices
Considerations for addressing bias in artificial intelligence for health equity
Generalized multi task learning framework for glucose forecasting and hypoglycemia detection using simulation to reality
Association of accelerometer-measured physical activity intensity, sedentary time, and exercise time with incident Parkinson's disease
AI-enabled wearable cameras for assisting dietary assessment in African populations
Systematic review and meta-analysis of AI-based conversational agents for promoting mental health and well-being
A choice based conjoint analysis of mobile healthcare application preferences among physicians, patients, and individuals
Integration of artificial intelligence and wearable technology in the management of diabetes and prediabetes
Real-world heart rate norms in the Health eHeart study
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data
Aligning AI principles and healthcare delivery organization best practices to navigate the shifting regulatory landscape
Actionable health app evaluation: translating expert frameworks into objective metrics
Postoperative remote first care for financially and environmentally sustainable healthcare
COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization
Author Correction: A scoping review of self-supervised representation learning for clinical decision making using EHR categorical data
Author Correction: Patient perceptions of empathy in physician and artificial intelligence chatbot responses to patient questions about cancer
AI assisted prediction of unplanned intensive care admissions using natural language processing in elective neurosurgery
Five million nights: temporal dynamics in human sleep phenotypes
A randomized controlled trial of mobile intervention using health support bubbles to prevent social frailty
Scoping review of the utilization of wearable devices in pediatric and young adult oncology
Latent retinal structural patterns with aging
A systematic review of smartphone-based human activity recognition methods for health research
Continuous sleep depth index annotation with deep learning yields novel digital biomarkers for sleep health
Machine learning based quantitative pain assessment for the perioperative period
Identifying vulnerable populations in the electronic Framingham Heart Study to improve digital device adherence
Pitfalls of large language models in medical ethics reasoning
Emerging approaches to redressing multi-level racism and reproductive health disparities
The impact of short-term incentives on physical activity in a UK behavioural incentives programme
Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma
HemaContour: explicit parametric contour learning for robust ICH segmentation on non-contrast CT
Using AI to measure Parkinson's disease severity at home
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer
Application programming interfaces for knowledge transfer and generation in the life sciences and healthcare
Automated detection of radiolucent foreign body aspiration on chest CT using deep learning
Causal inference using observational intensive care unit data: a scoping review and recommendations for future practice
A pragmatic randomized waitlist-controlled effectiveness and cost-effectiveness trial of digital interventions for depression and anxiety
Machine learning prediction of blood alcohol concentration: a digital signature of smart-breathalyzer behavior
Dynamic mortality prediction in critically Ill children during interhospital transports to PICUs using explainable AI
A novel AI device for real-time optical characterization of colorectal polyps
Author Correction: Establishing responsible use of AI guidelines: a comprehensive case study for healthcare institutions
The Iterative Mindset Method: a neuroscientific theoretical approach for sustainable behavior change and weight-loss in digital medicine
Bridging organ transcriptomics for advancing multiple organ toxicity assessment with a generative AI approach
Preventive digital mental health interventions for children and young people: a review of the design and reporting of research
Shedding light on the dynamic interplay of positive and negative symptoms of psychosis with Behavioral Tractography
Improving prognostic accuracy in lung transplantation using unique features of isolated human lung radiographs
A "True Lifecycle Approach" towards governing healthcare AI with the GCC as a global governance model
AI-based skin cancer detection: the balance between access and overutilization
H&E to IHC virtual staining methods in breast cancer: an overview and benchmarking
Developing a Canadian artificial intelligence medical curriculum using a Delphi study
Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare
Do as AI say: susceptibility in deployment of clinical decision-aids
The Healthy Pregnancy Research Program: transforming pregnancy research through a ResearchKit app
A virtual scalable model of the Hepatic Lobule for acetaminophen hepatotoxicity prediction
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge
Large language models forecast patient health trajectories enabling digital twins
A machine learning decision support tool optimizes WGS utilization in a neonatal intensive care unit
N2GNet tracks gait performance from subthalamic neural signals in Parkinson's disease
Walking on common ground: a cross-disciplinary scoping review on the clinical utility of digital mobility outcomes
A systematic review of quantum machine learning for digital health
Holistic AI analysis of hybrid cardiac perfusion images for mortality prediction
Collaborative Intelligence to catalyze the digital transformation of healthcare
A joint learning approach for automated diagnosis of keratinocyte carcinoma using optical attenuation coefficients
Reimbursement in the age of generalist radiology artificial intelligence
Tracking health seeking behavior during an Ebola outbreak via mobile phones and SMS
Automated tracking of level of consciousness and delirium in critical illness using deep learning
Effect of a text message intervention to reduce hazardous drinking among injured patients discharged from a trauma ward: a randomized controlled trial
Systematic review and meta analysis of standalone digital behavior change interventions on physical activity
Natural language processing system for rapid detection and intervention of mental health crisis chat messages
Need for clarifying remote physiologic monitoring reimbursement during the COVID-19 pandemic: a respiratory disease case study
Highlighting uncertainty in clinical risk prediction using a model of emergency laparotomy mortality risk
Reply: metrics to assess machine learning models
The quality and safety of using generative AI to produce patient-centred discharge instructions
Predicting 1-year successful clinical use of an arteriovenous access for hemodialysis using machine learning
The effectiveness of eHealth-based cardiovascular disease risk communication: a systematic review and meta-analysis
Do engagement and behavioural mechanisms underpin the effectiveness of the Drink Less app?
Wearable radio-frequency sensing of respiratory rate, respiratory volume, and heart rate
Academia loses its grip on digital health solutions as innovation in artificial intelligence shifts towards industry
Clinical usefulness of digital twin guided virtual amiodarone test in patients with atrial fibrillation ablation
Identifying and forecasting importation and asymptomatic spreaders of multi-drug resistant organisms in hospital settings
Enhancing EHR-based pancreatic cancer prediction with LLM-derived embeddings
Enhancing clinical documentation with voice processing and large language models: a study on the LAOS system
Landscape and future directions of machine learning applications in closed-loop brain stimulation
Mobile health strategies for blood pressure self-management in urban populations with digital barriers: systematic review and meta-analyses
Can Apple and Google continue as health app gatekeepers as well as distributors and developers?
Automated identification of clinical features from sparsely annotated 3-dimensional medical imaging
Author Correction: Games Wide Open to athlete partnership in building artificial intelligence systems
Diagnosis of cardiac conditions from 12-lead electrocardiogram through natural language supervision
Trust and acceptance of a virtual psychiatric interview between embodied conversational agents and outpatients
U-Sleep: resilient high-frequency sleep staging
Current status and solutions for AI ethics in ophthalmology: a bibliometric analysis
Digital tools for youth mental health
An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals
Guiding responsible AI in healthcare in the Philippines
Artificial intelligence-driven virtual rehabilitation for people living in the community: A scoping review
Dual stream transformer for medication state classification in Parkinson's disease patients using facial videos
Randomized controlled study of a digital data driven intervention for depressive and generalized anxiety symptoms
Characterization of multi-domain postoperative recovery trajectories after cardiac surgery using a digital platform
Development and external validation of a pretrained deep learning model for the prediction of non-accidental trauma
Out-of-clinic measurement of sweat chloride using a wearable sensor during low-intensity exercise
Protecting procedural care - cybersecurity considerations for robotic surgery
A scoping review of robustness concepts for machine learning in healthcare
To warrant clinical adoption AI models require a multi-faceted implementation evaluation
Methods in predictive techniques for mental health status on social media: a critical review
Probabilistic medical predictions of large language models
Development and validation of a smartphone-based deep-learning-enabled system to detect middle-ear conditions in otoscopic images
A digital heat early warning system for older adults
Emphysema progression risk in COPD using a localized foundational model of density evolution
Verification, analytical validation, and clinical validation (V3): the foundation of determining fit-for-purpose for Biometric Monitoring Technologies (BioMeTs)
Clinical impact and quality of randomized controlled trials involving interventions evaluating artificial intelligence prediction tools: a systematic review
Reply: Limitations in the creation of an automatic diagnosis tool for dysgraphia
A machine learning framework supporting prospective clinical decisions applied to risk prediction in oncology
Association of real life postural transitions kinematics with fatigue in neurodegenerative and immune diseases
High-dimensional item response theory analysis of patient-reported outcomes in total knee arthroplasty
AI-assisted prediction of differential response to antidepressant classes using electronic health records
Is there a right control condition in mHealth trials? A critical view on pain medicine
Insights into endometriosis symptom trajectories and assessment of surgical intervention outcomes using longitudinal actigraphy
Navigating the European Union Artificial Intelligence Act for Healthcare
Visual interpretable MRI fine grading of meniscus injury for intelligent assisted diagnosis and treatment
The triple integration of data, users and policies required for successful climate health solutions
Deep learning algorithm predicts diabetic retinopathy progression in individual patients
FastEval Parkinsonism: an instant deep learning-assisted video-based online system for Parkinsonian motor symptom evaluation
Fusing multispectral information for retinal layer segmentation
The potential of a multimodal digital care program in addressing healthcare inequities in musculoskeletal pain management
The use of large language models in detecting Chinese ultrasound report errors
Quantifying the impact of telemedicine and patient medical advice request messages on physicians' work-outside-work
Clinical trials informed framework for real world clinical implementation and deployment of artificial intelligence applications
Cohort design and natural language processing to reduce bias in electronic health records research
Automated microscopy and pH test for diagnosis of vaginitis - the end of empiricism?
A wearable sensor and machine learning estimate step length in older adults and patients with neurological disorders
Precision medicine and the cursed dimensions
Self-supervised stain normalization empowers privacy-preserving and model generalization in digital pathology
Integrating machine learning and multiscale modeling - perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences
Automated classification platform for the identification of otitis media using optical coherence tomography
Multimodal deep learning of fundus abnormalities and traditional risk factors for cardiovascular risk prediction
Challenges of developing a digital scribe to reduce clinical documentation burden
Artificial intelligence applied to coronary artery calcium scans (AI-CAC) significantly improves cardiovascular events prediction
Wearables as a tool for measuring therapeutic adherence in behavioral health
Guiding interoperable electronic health records through patient-sharing networks
Smartphone videos of the sit-to-stand test predict osteoarthritis and health outcomes in a nationwide study
The evolution of digital health technologies in cardiovascular disease research
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations
Machine learning detection of obstructive hypertrophic cardiomyopathy using a wearable biosensor
Classification of intracranial pressure epochs using a novel machine learning framework
Multimodal data fusion using sparse canonical correlation analysis and cooperative learning: a COVID-19 cohort study
Technology-supported behavior change interventions for reducing sodium intake in adults: a systematic review and meta-analysis
Ethnic disparity in diagnosing asymptomatic bacterial vaginosis using machine learning
Indicators of retention in remote digital health studies: a cross-study evaluation of 100, 000 participants
A systematic review and meta-analysis of artificial intelligence versus clinicians for skin cancer diagnosis
Matters arising: Utilizing foundation models for developing clinical tools
Digital storytelling boosts knowledge and behavioral expectation to reduce dietary sodium: a randomized controlled trial
Real world data on digital remote refraction in a healthy population of 14,680 eyes
A large language model digital patient system enhances ophthalmology history taking skills
Red teaming ChatGPT in medicine to yield real-world insights on model behavior
A user-driven consent platform for health data sharing in digital health applications
Digital biomarkers for Alzheimer's disease: the mobile/wearable devices opportunity
An umbrella review on how digital health intervention co-design is conducted and described
Artificial intelligence powers digital medicine
Prospective evaluation of speech as a digital biomarker for covert hepatic encephalopathy
Timelapse-based 3D reconstruction of blastocysts reveals 3D morphologies of human blastocysts
Mitigating the risk of health inequity exacerbated by large language models
Reporting accuracy of rare event classifiers
Effect of self-managed lifestyle treatment on glycemic control in patients with type 2 diabetes
A simulation-based evaluation of machine learning models for clinical decision support: application and analysis using hospital readmission
Large language models to identify social determinants of health in electronic health records
HONeYBEE: enabling scalable multimodal AI in oncology through foundation model-driven embeddings
Deep learning HRNet FCN for blood vessel identification in laparoscopic pancreatic surgery
Deep representation learning of electronic health records to unlock patient stratification at scale
Immersive virtual reality for functional hand and finger rehabilitation: results from a randomized controlled trial in 150 patients after traumatic hand injuries
Accuracy, interpretability and usability study of a wireless self-guided fetal heartbeat monitor compared to cardiotocography
What is the clinical value of mHealth for patients?
Artificial intelligence manages congenital cataract with individualized prediction and telehealth computing
Integrative machine learning models predict prostate cancer diagnosis and biochemical recurrence risk: Advancing precision oncology
The medical AI insurgency: what physicians must know about data to practice with intelligent machines
Deep adaptive learning predicts and diagnoses CSVD-related cognitive decline using radiomics from T2-FLAIR: a multi-centre study
A randomized controlled trial of a digital lifestyle intervention involving postoperative patients with colorectal cancer
Publisher Correction: Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa
Real-time detection of respiratory circuit events in mechanical ventilation using deep learning
Usability testing a web application to support evidence-based commissioning decisions for implementing mobile stroke units
Internet search patterns reveal clinical course of COVID-19 disease progression and pandemic spread across 32 countries
Development and validation of an accurate smartphone application for measuring waist-to-hip circumference ratio
Soft, all-in-one, nanomembrane wearable system for advancing neonatal health monitoring in Ethiopia
A multimodal transformer system for noninvasive diabetic nephropathy diagnosis via retinal imaging
Executable network of SARS-CoV-2-host interaction predicts drug combination treatments
Modeling personalized heart rate response to exercise and environmental factors with wearables data
CARE as a wearable derived feature linking circadian amplitude to human cognitive functions
Transforming diagnosis through artificial intelligence
Evaluating search engines and large language models for answering health questions
Embodied artificial intelligence in ophthalmology
A computer vision system for deep learning-based detection of patient mobilization activities in the ICU
Generation and evaluation of artificial mental health records for Natural Language Processing
The npj Digital Medicine Editorial Fellowship
Two-stage prompting framework with predefined verification steps for evaluating diagnostic reasoning tasks on two datasets
A novel AI-powered radiographic analysis surpasses specialists in stage II-IV periodontitis detection: a multicenter diagnostic study
Harmonization and standardization of data for a pan-European cohort on SARS- CoV-2 pandemic
Exploring cognitive reserve's influence: unveiling the dynamics of digital telerehabilitation in Parkinson's Disease Resilience
The IMPACT framework and implementation for accessible in silico clinical phenotyping in the digital era
Impact of predictive medicine on therapeutic decision making: a randomized controlled trial in congenital heart disease
Unlocking stress and forecasting its consequences with digital technology
Whole examination AI estimation of fetal biometrics from 20-week ultrasound scans
Scoping review of deep learning research illuminates artificial intelligence chasm in otolaryngology-head and neck surgery
Application of artificial intelligence to measure and predict patient values and preferences: a scoping review
Not all sensors are created equal: a framework for evaluating human performance measurement technologies
PRISM: Patient Records Interpretation for Semantic clinical trial Matching system using large language models
Second opinion needed: communicating uncertainty in medical machine learning
GlioSurv: interpretable transformer for multimodal, individualized survival prediction in diffuse glioma
A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis
Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection
A Bayesian-driven approach to identify racial inequities in longitudinal care delivery
A systematic review of neurophysiological sensing for the assessment of acute pain
Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial
A systematic review of the applications of artificial intelligence and machine learning in autoimmune diseases
MyThisYourThat for interpretable identification of systematic bias in federated learning for biomedical images
Natural language processing techniques to detect delirium in hospitalized patients from clinical notes: a systematic review
Computational drug repurposing in the age of COVID-19: mixing antiviral cocktails in silico
Evaluation of the NHS active 10 walking app intervention through time-series analysis in 201,688 individuals
Ushering in safe, effective, secure, and ethical medicine in the digital era
Automatic, wearable-based, in-field eating detection approaches for public health research: a scoping review
The role of open standards in catalysing knowledge transfer to deliver climate adaptive care
The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database
Simulated trials: in silico approach adds depth and nuance to the RCT gold-standard
Deep-learning-enabled brain hemodynamic mapping using resting-state fMRI