yusuke1997/dblp-id-title huggingface dataset:
Feasibility and utility of a clinician dashboard from wearable and mobile application Parkinson's disease data
Exploratory study examining the at-home feasibility of a wearable tool for social-affective learning in children with autism
Evaluation of an augmented reality platform for austere surgical telementoring: a randomized controlled crossover study in cricothyroidotomies
Predicting COVID-19 mortality with electronic medical records
Associations between adoption of eHealth management module and optimal control of HbA1c in diabetes patients
Virtual exam for Parkinson's disease enables frequent and reliable remote measurements of motor function
Changes in emergency and primary care use after adding virtual physicians to HealthLink BC's 8-1-1 program
Deep learning for identifying personal and family history of suicidal thoughts and behaviors from EHRs
Synthetic bone marrow images augment real samples in developing acute myeloid leukemia microscopy classification models
Computational strategic recruitment for representation and coverage studied in the All of Us Research Program
Fast multimodal imaging combined with machine learning identifying taurine as a potential marker for breast cancer margin assessment
Author Correction: Economic analysis of implementing virtual reality therapy for pain among hospitalized patients
Machine learning to predict penumbra core mismatch in acute ischemic stroke using clinical note data
Artificial intelligence-enabled analysis of handheld single-lead electrocardiograms to predict incident atrial fibrillation: an analysis of the VITAL-AF randomized trial
An operational guide to translational clinical machine learning in academic medical centers
Continuous time and dynamic suicide attempt risk prediction with neural ordinary differential equations
Real world federated learning with a knowledge distilled transformer for cardiac CT imaging
Mobile application leads to psychological improvement and correlated neuroimmune function change in subjective cognitive decline
Cognitive bias in clinical large language models
Fetal gestational age estimation using artificial intelligence on non-targeted ultrasound images and video
Autonomous artificial intelligence increases real-world specialist clinic productivity in a cluster-randomized trial
Data-driven testing program improves detection of COVID-19 cases and reduces community transmission
A machine-learning based objective measure for ALS disease severity
An in-depth evaluation of federated learning on biomedical natural language processing for information extraction
Systematic evaluation of patient-reported outcomes in clinical trials of digital health in cardiovascular diseases
Enhancing attention in children using an integrated cognitive-physical videogame: A pilot study
Privacy preserving strategies for electronic health records in the era of large language models
Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer's disease with real-world clinical validation
International perspectives on measuring national digital public health system maturity through a multidisciplinary Delphi study
Development of an effective predictive screening tool for prostate cancer using the ClarityDX machine learning platform
Information content as a health system screening tool for rare diseases
Assessment of menstrual health status and evolution through mobile apps for fertility awareness
Machine learning for medical imaging: methodological failures and recommendations for the future
Frequent discussion of insomnia and weight gain with glucocorticoid therapy: an analysis of Twitter posts
A randomized controlled trial of a trauma-informed smartphone application in reducing firefighters' mental health symptoms
Relative importance of temporal and location features in predicting smoking events
Randomized-controlled trial assessing a digital care program versus conventional physiotherapy for chronic low back pain
Theory and rationale of interpretable all-in-one pattern discovery and disentanglement system
A digital health intervention for cardiovascular disease management in primary care (CONNECT) randomized controlled trial
Reply to "When do large language models cross the line: "reasoning" red teaming in healthcare"
Population mobility data provides meaningful indicators of fast food intake and diet-related diseases in diverse populations
A hierarchical deep learning approach with transparency and interpretability based on small samples for glaucoma diagnosis
Iterative refinement and goal articulation to optimize large language models for clinical information extraction
Health-economic evaluation of a novel personalized digital avatar-based anemia management software in hemodialysis patients
Contextualizing remote fall risk: Video data capture and implementing ethical AI
Evaluation of a digitally-enabled care pathway for acute kidney injury management in hospital emergency admissions
Deep learning CT model for stratified diagnosis of pancreatic cystic neoplasms: multicenter development, validation, and real-world clinical impact
Understanding the robustness of vision-language models to medical image artefacts
Results and implications for generative AI in a large introductory biomedical and health informatics course
UK funding agency launches digital health hubs: a new catalyst for change?
Digital remote monitoring for screening and early detection of urinary tract infections
Planet-wide performance of a skin disease AI algorithm validated in Korea
Mapping the regulatory landscape for artificial intelligence in health within the European Union
A retrospective impact analysis of the WannaCry cyberattack on the NHS
Beyond performance metrics: modeling outcomes and cost for clinical machine learning
Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction
Ethical data acquisition for LLMs and AI algorithms in healthcare
The IDentif.AI-x pandemic readiness platform: Rapid prioritization of optimized COVID-19 combination therapy regimens
Automated coronary calcium scoring using deep learning with multicenter external validation
Unlocking the potential of real-time ICU mortality prediction: redefining risk assessment with continuous data recovery
A generalizable deep learning regression model for automated glaucoma screening from fundus images
Multimodal deep learning model for prognostic prediction in cervical cancer receiving definitive radiotherapy: a multi-center study
Diurnal variation of wearable device-based heart rate variability in the Chronic Renal Insufficiency Cohort study
Methodological issues in the creation of a diagnosis tool for dysgraphia
Generative AI costs in large healthcare systems, an example in revenue cycle
Mixed methods evaluation of a clinical decision support system to reduce variation in healthcare
Early detection of G2SCH through machine learning analysis of physical examination metrics
Large language models outperform mental and medical health care professionals in identifying obsessive-compulsive disorder
The potential use of digital health technologies in the African context: a systematic review of evidence from Ethiopia
EMR usability and patient safety: a national survey of physicians
DeepTag: inferring diagnoses from veterinary clinical notes
Continuous, noninvasive wireless monitoring of flow of cerebrospinal fluid through shunts in patients with hydrocephalus
How predictive medicine leads to solidarity gaps in health
Enabling data linkages for rare diseases in a resilient environment with the SERDIF framework
Semi-automated surveillance of surgical site infections using machine learning and rule-based classification models
Survey, taxonomy, and emerging paradigms of societal digital twins for public health preparedness
Effectiveness of automated alerting system compared to usual care for the management of sepsis
Smartphone measures of day-to-day behavior changes in children with autism
Secondary care provider attitudes towards patient generated health data from smartwatches
Where do we stand in AI for endoscopic image analysis? Deciphering gaps and future directions
Quantum cryptography and data protection for medical devices before and after they meet Q-Day
An algorithm strategy for precise patient monitoring in a connected healthcare enterprise
Preventing unrestricted and unmonitored AI experimentation in healthcare through transparency and accountability
A new metric to understand the association between heart rate variability and menstrual regularity
Guidance for unbiased predictive information for healthcare decision-making and equity (GUIDE): considerations when race may be a prognostic factor
Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysis
Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning
A multimodal AI model for precision prognosis in clear cell renal cell carcinoma: A multicenter study
Development of digital measures for nighttime scratch and sleep using wrist-worn wearable devices
Matters Arising: Immortal time bias in the analysis of drug prescription trajectories
iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients
Lessons for synthetic data from care.data's past
MoleProLink-RL: geometric transport for domain-policy reinforcement learning in drug-target interaction prediction
Computer vision in surgery: from potential to clinical value
Multimodal GPT model for assisting thyroid nodule diagnosis and management
Fibricheck detection capabilities for atrial fibrillation (FDA-AF): a multicenter validation study
Foundation models in medicine are a social experiment: time for an ethical framework
Effectiveness of symptom monitoring on electronic patient-reported outcomes (ePROs) among patients with lung cancer: a systematic review and meta-analysis
Could transparent model cards with layered accessible information drive trust and safety in health AI?
Anticipating and treating dementia: lessons hidden in plain sight
Impact of primary to secondary care data sharing on care quality in NHS England hospitals
Generating high-fidelity synthetic patient data for assessing machine learning healthcare software
Germany and Europe lead digital innovation and AI with collaborative health data use at continental level
Building resilient medical technology supply chains with a software bill of materials
Neuromuscular block monitoring by smartphone application (i-TOF© system): an observational pilot study
Author Correction: High-dimensional detection of imaging response to treatment in multiple sclerosis
Healthcare effects and evidence robustness of reimbursable digital health applications in Germany: a systematic review
Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging
Menstrual cycle length variation by demographic characteristics from the Apple Women's Health Study
New machine learning model predicts who may benefit most from COVID-19 vaccination
The relation between passively collected data and PTSD: a systematic review and meta-analysis
Personalized decision making for coronary artery disease treatment using offline reinforcement learning
Regular snoring is associated with uncontrolled hypertension
A surgical approach to building impactful artificial intelligence
COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data
A scoping review of portable sensing for out-of-lab anterior cruciate ligament injury prevention and rehabilitation
SARAspeech - Feasibility of automated assessment of ataxic speech disturbance
The case for inclusive co-creation in digital health innovation
A deep transfer learning approach for wearable sleep stage classification with photoplethysmography
Wireless facial biosensing system for monitoring facial palsy with flexible microneedle electrode arrays
Systematic review to understand users perspectives on AI-enabled decision aids to inform shared decision making
What do medical students actually need to know about artificial intelligence?
An optimization framework to guide the choice of thresholds for risk-based cancer screening
A dynamical systems framework for precision psychiatry
Synthetic polarization-sensitive optical coherence tomography by deep learning
Is regulatory science ready for artificial intelligence?
Systematic review on the technology's role in supporting lung cancer patients in the treatment journey
The emergence of medical futures studies uncovers medicine and healthcare's untapped potential
Domain-adaptive semi-supervised learning for efficient rare pathological lesion detection with minimal annotation
Artificial intelligence guided imaging as a tool to fill gaps in health care delivery
Dissecting the heterogeneity of "in the wild" stress from multimodal sensor data
Can co-designed educational interventions help consumers think critically about asking ChatGPT health questions? Results from a randomised-controlled trial
A phenotype-based AI pipeline outperforms human experts in differentially diagnosing rare diseases using EHRs
Using digital surveillance tools for near real-time mapping of the risk of infectious disease spread
Author Correction: PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging
Wearable health devices for pediatric ophthalmology
Opportunities and risks of artificial intelligence in patient portal messaging in primary care
Best practice recommendations and considerations for designing and electronically implementing event-driven diaries in clinical trials
Deep echocardiography: data-efficient supervised and semi-supervised deep learning towards automated diagnosis of cardiac disease
Discovery of associative patterns between workplace sound level and physiological wellbeing using wearable devices and empirical Bayes modeling
Predicting radiocephalic arteriovenous fistula success with machine learning
Characterizing physiological and symptomatic variation in menstrual cycles using self-tracked mobile-health data
Digital twins enable stratification of persistent atrial fibrillation patients for ablation diminishing unnecessary heart damage
A typology of physician input approaches to using AI chatbots for clinical decision-making
Genomic language models could transform medicine but not yet
Ethical gaps in closed-loop neurotechnology: a scoping review
Benchmarking the diagnostic performance of open source LLMs in 1933 Eurorad case reports
Whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations
Digital cognitive behavioral therapy for insomnia on depression and anxiety: a systematic review and meta-analysis
SurgeryLLM: a retrieval-augmented generation large language model framework for surgical decision support and workflow enhancement
Machine learning for patient risk stratification: standing on, or looking over, the shoulders of clinicians?
Multimodal fusion model for prognostic prediction and radiotherapy response assessment in head and neck squamous cell carcinoma
PlaqueCap: lesion-centered captioning of atherosclerotic plaques in intravascular ultrasound using vision-language models and prompt injection
Mapping digital health ecosystems in Africa in the context of endemic infectious and non-communicable diseases
Digital clinical trials: creating a vision for the future
A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan
Agile analytics to support rapid knowledge pipelines
Random features meet MIL: a deep GP approach to colorectal MSI prediction
CORE-MD clinical risk score for regulatory evaluation of artificial intelligence-based medical device software
StrokeClassifier: ischemic stroke etiology classification by ensemble consensus modeling using electronic health records
Author Correction: A novel AI device for real-time optical characterization of colorectal polyps
Detecting false-positive disease references in veterinary clinical notes without manual annotations
Effectiveness of a stand-alone, smartphone-based virtual reality exposure app to reduce fear of heights in real-life: a randomized trial
Digital therapeutics from bench to bedside
Ecosystems and monopolies in digital surgery
The proposed EU Directives for AI liability leave worrying gaps likely to impact medical AI
Value of clinical review for AI-guided deep vein thrombosis diagnosis with ultrasound imaging by non-expert operators
Extensive benchmarking of a method that estimates external model performance from limited statistical characteristics
Uncertainty-aware large language models for explainable disease diagnosis
Continuous and componentized facial palsy measurement alignment and clinical interpretable model
Evaluating skin tone scales for dermatologic dataset labeling: a prospective-comparative study
Advances in the estimation of body fat percentage using an artificial intelligence 2D-photo method
Deep learning based automatic detection algorithm for acute intracranial haemorrhage: a pivotal randomized clinical trial
Automating expert-level medical reasoning evaluation of large language models
The Project Baseline Health Study: a step towards a broader mission to map human health
Digital health tools to support parents with parent-infant sleep and mental well-being
Unsupervised machine learning to investigate trajectory patterns of COVID-19 symptoms and physical activity measured via the MyHeart Counts App and smart devices
Impact of missing electronic fetal monitoring signals on perinatal asphyxia: a multicohort analysis
GH-UNet: group-wise hybrid convolution-VIT for robust medical image segmentation
Wearable based monitoring and self-supervised contrastive learning detect clinical complications during treatment of Hematologic malignancies
Effectiveness of digital healthcare to improve clinical outcomes in discharged patients with coronary artery disease
The real-world association between digital markers of circadian disruption and mental health risks
A multimodal visual-language foundation model for computational ophthalmology
Making machine learning matter to clinicians: model actionability in medical decision-making
Author Correction: Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT)
The impact of inconsistent human annotations on AI driven clinical decision making
Physician perspectives on integration of artificial intelligence into diagnostic pathology
Hierarchical skin lesion image classification with prototypical decision tree
Medical data sharing and synthetic clinical data generation - maximizing biomedical resource utilization and minimizing participant re-identification risks
Comparing content within a culturally-adapted digital treatment for Hispanic patients with alcohol use disorder
Improving access to cardiovascular care for 1.4 billion people in China using telehealth
Determining MCID threshold for Knee Society Score to assess patient satisfaction in knee arthroplasty
Author Correction: Virtual exam for Parkinson's disease enables frequent and reliable remote measurements of motor function
Virtual nature, real relief: how exposure to virtual natural environments reduces anxiety, stress, and depression in healthy adults
Best practices for analyzing large-scale health data from wearables and smartphone apps
Deep learning-based non-contrast MRI model for nasopharyngeal carcinoma diagnosis: an end-to-end gadolinium-free solution
AI technology to support adaptive functioning in neurodevelopmental conditions in everyday environments: a systematic review
Can we learn from an imagined ransomware attack on a hospital at home platform?
Explainable vision transformer for automatic visual sleep staging on multimodal PSG signals
Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study
Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI
Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson's disease
Tools and analytic techniques to synthesise community knowledge in CBPR using computer-mediated participatory system modelling
SQL on FHIR - Tabular views of FHIR data using FHIRPath
A protocol integrating remote patient monitoring patient reported outcomes and cardiovascular biomarkers
Machine learning-based quantitative prediction of drug exposure in drug-drug interactions using drug label information
The prospect of artificial intelligence to personalize assisted reproductive technology
The effects of a digital health intervention on patient activation in chronic kidney disease
A comparison of self-reported COVID-19 symptoms between android and iOS CoronaCheck app users
The "inconvenient truth" about AI in healthcare
Weakly supervised deep learning to predict recurrence in low-grade endometrial cancer from multiplexed immunofluorescence images
The cost of explainability in artificial intelligence-enhanced electrocardiogram models
The future of sleep health: a data-driven revolution in sleep science and medicine
Neonatal pose estimation in the unaltered clinical environment with fusion of RGB, depth and IR images
Bending the patient safety curve: how much can AI help?
Estimating the efficacy of symptom-based screening for COVID-19
A foundational vision transformer improves diagnostic performance for electrocardiograms
Enhancing diagnostic capability with multi-agents conversational large language models
Development and validation of a deep learning model for diagnosing neuropathic corneal pain via in vivo confocal microscopy
Diagnostic accuracy of telemedicine for detection of surgical site infection: a systematic review and meta-analysis
Deep learning from "passive feeding" to "selective eating" of real-world data
Unlocking efficiency in real-world collaborative studies: a multi-site international study with one-shot lossless GLMM algorithm
Publisher Correction: Graph retrieval augmented large language models for facial phenotype associated rare genetic disease
Computer copilots for endoscopic diagnosis
Quantifying the use of connected digital products in clinical research
An interpretable model based on graph learning for diagnosis of Parkinson's disease with voice-related EEG
Machine learning in vascular surgery: a systematic review and critical appraisal
Social media interventions for precision public health: promises and risks
CancerGPT for few shot drug pair synergy prediction using large pretrained language models
Improving the repeatability of deep learning models with Monte Carlo dropout
Biological data annotation via a human-augmenting AI-based labeling system
Implementation report on pioneering federated data access for the German National Emergency Department Data Registry
Implementation of cloud computing in the German healthcare system
Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials
Smartphone application improves fertility treatment-related literacy in a large-scale virtual randomized controlled trial in Japan
An equity analysis of remote patient monitoring programs unveils assumptions on digital health equity
Short- and long-term effects of an electronic medication management system on paediatric prescribing errors
A scoping review of privacy and utility metrics in medical synthetic data
Attitudes of healthcare professionals and researchers toward wearable and app derived patient generated health data
Challenges for the evaluation of digital health solutions - A call for innovative evidence generation approaches
Deep learning in image-based breast and cervical cancer detection: a systematic review and meta-analysis
Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials
Comparative analysis of AI support levels in clinical interpretation of traumatic pelvic radiographs
Vaximap: route optimisation for housebound vaccination
A randomized controlled trial of a smoking cessation smartphone application with a carbon monoxide checker