yusuke1997/dblp-id-title huggingface dataset:
Constructing personalized characterizations of structural brain aberrations in patients with dementia using explainable artificial intelligence
Digital public health surveillance: a systematic scoping review
Comprehensive policies for scaling systemic and equitable integration of digital health technologies
Evaluating large language models as agents in the clinic
Digital biomarkers for precision diagnosis and monitoring in Parkinson's disease
Bayesian strategy selection identifies optimal solutions to complex problems using an example from GP prescribing
Clinical decision support for vestibular diagnosis: large-scale machine learning with lived experience coaching
Cognitive plausibility in voice-based AI health counselors
Mapping each pre-existing condition's association to short-term and long-term COVID-19 complications
Transformer optimization with meta learning on pathology images for breast cancer lymph node micrometastasis
Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety
Effectiveness of DialBetesPlus, a self-management support system for diabetic kidney disease: Randomized controlled trial
High performance with fewer labels using semi-weakly supervised learning for pulmonary embolism diagnosis
An artificial intelligence cloud platform for OCT-based retinal anomalies screening system in real clinical environments
Evaluating the diagnostic accuracy of vision language models for neuroradiological image interpretation
FedOcw: optimized federated learning for cross-lingual speech-based Parkinson's disease detection
Does clinical research account for diversity in deploying digital health technologies?
Cultural adaptation: a framework for addressing an often-overlooked dimension of digital health accessibility
A systematic umbrella review and meta-meta-analysis of eHealth and mHealth interventions for improving lifestyle behaviours
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium
Artificial intelligence sepsis prediction algorithm learns to say "I don't know"
Real-time machine learning model to predict in-hospital cardiac arrest using heart rate variability in ICU
Optimizing retinal images based carotid atherosclerosis prediction with explainable foundation models
A novel noninvasive method for remote heart failure monitoring: the EuleriAn video Magnification apPLications In heart Failure studY (AMPLIFY)
The importance of study design in the application of artificial intelligence methods in medicine
Large language model trained on clinical oncology data predicts cancer progression
Imputation of missing values for electronic health record laboratory data
A unifying force for the realization of medical AI
How can regulation and reimbursement better accommodate flexible suites of digital health technologies?
X-ray2CTPA: leveraging diffusion models to enhance pulmonary embolism classification
Validity of two subjective skin tone scales and its implications on healthcare model fairness
Feasibility of the deep learning method for estimating the ventilatory threshold with electrocardiography data
Interpretable Multiomics Models for Predicting Surgical Interventions and Blood Transfusion Requirements in Traumatic Brain Injury
Rethinking clinical trials for medical AI with dynamic deployments of adaptive systems
Covid-19 vaccination and menstrual cycle length in the Apple Women's Health Study
Digital advantage in the COVID-19 response: perspective from Canada's largest integrated digitalized healthcare system
Explainable AI-driven precision clinical trial enrichment: demonstration of the NetraAI platform with a phase II depression trial
Identifying and characterising sources of variability in digital outcome measures in Parkinson's disease
Finding missed cases of familial hypercholesterolemia in health systems using machine learning
Patient perceptions of empathy in physician and artificial intelligence chatbot responses to patient questions about cancer
Joint AI-driven event prediction and longitudinal modeling in newly diagnosed and relapsed multiple myeloma
Evaluating base and retrieval augmented LLMs with document or online support for evidence based neurology
Author Correction: Early detection and tracking of bulbar changes in ALS via frequent and remote speech analysis
A policy framework for leveraging generative AI to address enduring challenges in clinical trials
Automating sleep stage classification using wireless, wearable sensors
Association of accelerometer-measured physical activity and incident Parkinson's disease: insights and future research directions
Examining technology-assisted rehabilitation for older adults' functional mobility: a network meta-analysis on efficacy and acceptability
A randomized controlled trial of online symptom searching to inform patient generated differential diagnoses
Human AI collaboration for unsupervised categorization of live surgical feedback
Clinician-informed XAI evaluation checklist with metrics (CLIX-M) for AI-powered clinical decision support systems
Navigating the EU AI Act: implications for regulated digital medical products
Accuracy and efficiency of drilling trajectories with augmented reality versus conventional navigation randomized crossover trial
A randomized controlled trial of a digital cognitive behavioral therapy for insomnia for older adults
A general framework for governing marketed AI/ML medical devices
Semi automatic quantification of REM sleep without atonia in natural sleep environment
Overcoming barriers to data sharing with medical image generation: a comprehensive evaluation
Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices
A systematic review of consumers' and healthcare professionals' trust in digital healthcare
Publisher Correction: Modernizing and designing evaluation frameworks for connected sensor technologies in medicine
Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices
Predictive analytics and tailored interventions improve clinical outcomes in older adults: a randomized controlled trial
The comprehensive clinical benefits of digital phenotyping: from broad adoption to full impact
The Nebraska Nomogram for Autograft Planning (NNAP) a surgical planning tool for ipsilateral rotational autokeratoplasty
Noninvasive early prediction of preeclampsia in pregnancy using retinal vascular features
Deep learning-based mobile application for efficient eyelid tumor recognition in clinical images
Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients
Platform matters - Differences in COVID data collected from Android and iOS app users
Telehealth virtual reality intervention reduces chronic pain in a randomized crossover study
Effects of a smartphone-based chatbot intervention on influenza and COVID-19 vaccine uptake among South Asians
Navigating uncharted waters: select practical considerations in radiology AI compliance with the EU AI Act
mHealth and wearable technology should replace motor diaries to track motor fluctuations in Parkinson's disease
The overlooked role of exergames in cognitive-motor neurorehabilitation: a systematic review
Author Correction: Accuracy of dental implant placement using different dynamic navigation and robotic systems: an in vitro study
Leveraging artificial intelligence for pandemic preparedness and response: a scoping review to identify key use cases
CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV
A review on generative AI models for synthetic medical text, time series, and longitudinal data
Comparative effectiveness of remote perioperative telemonitoring in cancer surgery: a randomized trial
Harnessing digital technology to predict, diagnose, monitor, and develop treatments for brain disorders
Digital approaches to enhancing community engagement in clinical trials
Investigating sources of inaccuracy in wearable optical heart rate sensors
A multimodal uncertainty-aware AI system optimizes ovarian cancer risk assessment workflow
Smartphone-based prediction of dopaminergic deficit in prodromal and manifest Parkinson's disease
Ehealth interactive intervention in promoting safer sex among men who have sex with men
A hybrid machine learning approach for the personalized prognostication of aggressive skin cancers
Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis
Automated decision making in Barrett's oesophagus: development and deployment of a natural language processing tool
Advancing digital sensing in mental health research
Effects of artificial intelligence implementation on efficiency in medical imaging - a systematic literature review and meta-analysis
Crossing the chasm from model performance to clinical impact: the need to improve implementation and evaluation of AI
Author Correction: An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals
Digital twins for noninvasively measuring predictive markers of right heart failure
Effects of intervention design on engagement and outcomes in digital self-help for insomnia - factorial RCT
Automated abnormality classification of chest radiographs using deep convolutional neural networks
Digital twin driven electrode optimization for wearable bladder monitoring via bioimpedance
Mobility assessment using wearable technology in patients with late-onset Pompe disease
Towards automatic home-based sleep apnea estimation using deep learning
Author Correction: Opioid death projections with AI-based forecasts using social media language
Robustness tests for biomedical foundation models should tailor to specifications
Digital health technologies need regulation and reimbursement that enable flexible interactions and groupings
V3+ extends the V3 framework to ensure user-centricity and scalability of sensor-based digital health technologies
Games Wide Open to athlete partnership in building artificial intelligence systems
A deep learning system for myopia onset prediction and intervention effectiveness evaluation in children
A scoping review of large language model based approaches for information extraction from radiology reports
Exploring the feasibility of using real-world data from a large clinical data research network to simulate clinical trials of Alzheimer's disease
Paying for artificial intelligence in medicine
Digital humanistic program to manage premature frailty in young breast cancer survivors with gender perspective
Synthetic data trained open-source language models are feasible alternatives to proprietary models for radiology reporting
Liquid white box model as an explainable AI for surgery
Probing the limits and capabilities of diffusion models for the anatomic editing of digital twins
Establishing the longitudinal hemodynamic mapping framework for wearable-driven coronary digital twins
The impact of transition to a digital hospital on medication errors (TIME study)
A framework to assess clinical safety and hallucination rates of LLMs for medical text summarisation
Keyword-based AI assistance in the generation of radiology reports: A pilot study
Impact of visual presentation of atherosclerotic carotid plaque on cardiovascular risk profile using mHealth technologies
A trust based framework for the envelopment of medical AI
Deep learning evaluation of echocardiograms to identify occult atrial fibrillation
Machine learning identifies TIME subtypes linking EGFR mutations and immune states in lung adenocarcinoma
Ophthalmic drug discovery and development using artificial intelligence and digital health technologies
Systematic review and meta-analysis comparing educational and reminder digital interventions for promoting HPV vaccination uptake
Using photoplethysmography data to estimate heart rate variability and its association with organ dysfunction in pediatric oncology patients
Beyond Fitzpatrick: automated artificial intelligence-based skin tone analysis in dermatological patients
Generating unseen diseases patient data using ontology enhanced generative adversarial networks
Human-AI interaction in skin cancer diagnosis: a systematic review and meta-analysis
Acceptability and feasibility of research grade wearables for monitoring heat stress in Kenyan farmers
Data from the All of Us research program reinforces existence of activity inequality
Author Correction: Developing a Canadian artificial intelligence medical curriculum using a Delphi study
Medical domain knowledge in domain-agnostic generative AI
Guidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research
A systematic review of machine learning applications in predicting opioid associated adverse events
EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records
Predicting recurrent chat contact in a psychological intervention for the youth using natural language processing
Design and testing of a mobile health application rating tool
A novel model for retinal imaging in the diagnosis of Alzheimer's disease
Patients' views of wearable devices and AI in healthcare: findings from the ComPaRe e-cohort
Artificial intelligence prediction of age from echocardiography as a marker for cardiovascular disease
Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization
Demographic inaccuracies and biases in the depiction of patients by artificial intelligence text-to-image generators
Multinational landscape of health app policy: toward regulatory consensus on digital health
Considerations for integrating wearables into the everyday healthcare practice
Distribution shift detection for the postmarket surveillance of medical AI algorithms: a retrospective simulation study
Diagnosing pathologic myopia by identifying morphologic patterns using ultra widefield images with deep learning
A scoping review of routinely collected linked data in research on gambling harm
Real-world menstrual cycle characteristics of more than 600, 000 menstrual cycles
Identification of cardiac wall motion abnormalities in diverse populations by deep learning of the electrocardiogram
The promise of machine learning applications in solid organ transplantation
Effect of video conferencing between primary and secondary care specialists on type 2 diabetes medication
Telephone, video, equity and access in virtual care
Deep learning-based prediction of Clostridioides difficile infection caused by antibiotics using longitudinal electronic health records
Early detection and tracking of bulbar changes in ALS via frequent and remote speech analysis
A systematic review of engagement reporting in remote measurement studies for health symptom tracking
Leveraging large language models to extract smoking history from clinical notes for lung cancer surveillance
The impact of artificial intelligence on the reading times of radiologists for chest radiographs
Artificial Intelligence awarded two Nobel Prizes for innovations that will shape the future of medicine
The future of digital health with federated learning
Modeling multiple sclerosis using mobile and wearable sensor data
Automated AI based identification of autism spectrum disorder from home videos
Reconsidering reviews: the role of scoping reviews in digital medicine and pediatrics
Author Correction: Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study
Framework for bias evaluation in large language models in healthcare settings
Systematic review of economic evaluations for internet- and mobile-based interventions for mental health problems
Estimation of ventilatory thresholds during exercise using respiratory wearable sensors
Transmission line model as a digital twin for abdominal aortic aneurysm patients
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients
A CFIR-guided qualitative study of digital health engagement among Black adults with type 2 diabetes
Prospective pragmatic trial of automated retinal photography and AI glaucoma screening in Australian primary care
Development and validation of an interpretable risk prediction model for the early classification of thalassemia
Implications for implementation and adoption of telehealth in developing countries: a systematic review of China's practices and experiences
Detection of epileptic spasms using foundational AI and smartphone videos
Non-contact physiological monitoring of post-operative patients in the intensive care unit
Deep learning model for assessing survival benefits in hepatocellular carcinoma patients undergoing intra-arterial therapies based on proliferative subtype
Intelligent risk prediction in public health using wearable device data
Multiple large language models versus experienced physicians in diagnosing challenging cases with gastrointestinal symptoms
Reinforcement learning model for optimizing dexmedetomidine dosing to prevent delirium in critically ill patients
Lymelight: forecasting Lyme disease risk using web search data
Large scale causal modeling to identify adults at risk for combined and common variable immunodeficiencies
Beyond validation: getting health apps into clinical practice
Cost-effectiveness of incorporating self-imaging optical coherence tomography into fundus photography-based diabetic retinopathy screening
The potential for artificial intelligence to transform healthcare: perspectives from international health leaders
Bringing it all together: Wearable data fusion
Prescribable mHealth apps identified from an overview of systematic reviews
Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmias
Patient-centric synthetic data generation, no reason to risk re-identification in biomedical data analysis
Psychomotor function measured via online activity predicts motor vehicle fatality risk
A multicenter study on two-stage transfer learning model for duct-dependent CHDs screening in fetal echocardiography
The perils of politeness: how large language models may amplify medical misinformation
Predictive models in emergency medicine and their missing data strategies: a systematic review
A medical multimodal large language model for future pandemics
Unlocking the potential: multimodal AI in biotechnology and digital medicine - economic impact and ethical challenges
The evaluation illusion of large language models in medicine
Assessing the accuracy of automatic speech recognition for psychotherapy
RMS: a ML-based system for ICU respiratory monitoring and resource planning
Trends and effectiveness of digital health management in postdischarge coronary artery disease across COVID19 pandemic
Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance
The performance of a deep learning system in assisting junior ophthalmologists in diagnosing 13 major fundus diseases: a prospective multi-center clinical trial
ROFI: a deep learning-based ophthalmic sign-preserving and reversible patient face anonymizer
Leveraging natural language processing to aggregate field safety notices of medical devices across the EU
Digital biomarkers: Convergence of digital health technologies and biomarkers
TIMER: temporal instruction modeling and evaluation for longitudinal clinical records
Expressions of loss predict aggressive comments on Twitter among gang-involved youth in Chicago
Exploring the potential of digital biomarkers as a measure of brain health 'capital'
Digital health: how to govern during a never-ending data tsunami
Robust language-based mental health assessments in time and space through social media
Evaluation and practical application of prompt-driven ChatGPTs for EMR generation
Health digital twins as tools for precision medicine: Considerations for computation, implementation, and regulation
Effect of clinical decision support for severe hypercholesterolemia on low-density lipoprotein cholesterol levels
Reduction of false alarms in the intensive care unit using an optimized machine learning based approach
Benchmarking proprietary and open-source language and vision-language models for gastroenterology clinical reasoning
Rating analysis and BERTopic modeling of consumer versus regulated mHealth app reviews in Germany
Watching Parkinson's disease with wrist-based sensors
FDA-cleared home sleep apnea testing devices
Re-identification of patients from imaging features extracted by foundation models
It's complicated: characterizing the time-varying relationship between cell phone mobility and COVID-19 spread in the US
ScarElastic: continuous elasticity field modeling for myocardial scar delineation in LGE-CMR
Culture-free detection of bacteria from blood for rapid sepsis diagnosis
Characterization of activity behavior using a digital medicine system and comparison to medication ingestion in patients with serious mental illness
Credibility assessment of a mechanistic model of atherosclerosis to predict cardiovascular outcomes under lipid-lowering therapy
Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study
Multi-cohort machine learning identifies predictors of cognitive impairment in Parkinson's disease
Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data
Objective wearable measures correlate with self-reported chronic pain levels in people with spinal cord stimulation systems
A translational perspective towards clinical AI fairness
The ethics of ChatGPT in medicine and healthcare: a systematic review on Large Language Models (LLMs)
Harnessing consumer smartphone and wearable sensors for clinical cancer research
Accurate diagnosis of lymphoma on whole-slide histopathology images using deep learning
Strengthening digital health equity by balancing techno-optimism and techno-skepticism through implementation science
A randomized trial examining the effect of predictive analytics and tailored interventions on the cost of care
Will AI become our Co-PI?
Network meta analysis of contributions by different healthcare practitioners in digital self care for hypertension
Continuous multimodal data supply chain and expandable clinical decision support for oncology
Data mining for health: staking out the ethical territory of digital phenotyping
A digital embrace to blunt the curve of COVID19 pandemic
Global Initiative on AI for Health (GI-AI4H): strategic priorities advancing governance across the United Nations
Effect of race and ethnicity on advanced breast cancer risk prediction model performance
Aligning mission to digital health strategy in academic medical centers
Randomized trial of two artificial intelligence coaching interventions to increase physical activity in cancer survivors
Deep behavioural representation learning reveals risk profiles for malignant ventricular arrhythmias
Representational ethical model calibration
Engaging an advisory board in discussions about the ethical relevance of algorithmic bias and fairness
Hospitalization prediction from the emergency department using computer vision AI with short patient video clips
Beyond the 510(k): The regulation of novel moderate-risk medical devices, intellectual property considerations, and innovation incentives in the FDA's De Novo pathway
Racial bias in AI-mediated psychiatric diagnosis and treatment: a qualitative comparison of four large language models
Evaluating the role of large language models in traditional Chinese medicine diagnosis and treatment recommendations
Sync fast and solve things - best practices for responsible digital health
It is time to learn from patients like mine
The Apple Watch spO2 sensor and outliers in healthy users
Process mining in mHealth data analysis
A survey of skin tone assessment in prospective research
Preference for in-person psychotherapy versus digital psychotherapy options for depression: survey of adults in the U.S
Reply to: Utilizing foundation models for developing clinical tools