yusuke1997/dblp-id-title huggingface dataset:
Validation of Amazon Halo Movement: a smartphone camera-based assessment of movement health
External validation of PreOpNet to predict 30-day mortality after major non-cardiac surgery using digital electrocardiogram
STPath: a generative foundation model for integrating spatial transcriptomics and whole-slide images
Author Correction: Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson's disease
User experience of instant blood pressure: exploring reasons for the popularity of an inaccurate mobile health app
Development and validation of a deep neural network model to predict postoperative mortality, acute kidney injury, and reintubation using a single feature set
Understanding tinnitus symptom dynamics and clinical improvement through intensive longitudinal data
Predicting progression events in multiple myeloma from routine blood work
Interpretable personalized surgical recommendation with joint consideration of multiple decisional dimensions
A systematic review and narrative analysis of digital speech biomarkers in Motor Neuron Disease
Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare
Impact of an electronic medical record-based appointment order on outpatient cardiology follow-up after hospital discharge
Randomized comparison of AI enhanced 3D printing and traditional simulations in hepatobiliary surgery
AI-driven smartphone screening for acute COPD exacerbations: enhancing health equity in developing regions
Systematic review and meta-analysis of adverse events in clinical trials of mental health apps
Forecasting adverse surgical events using self-supervised transfer learning for physiological signals
Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration
Interactive exploration of a global clinical network from a large breast cancer cohort
Artificial intelligence assisted real-time recognition of intra-abdominal metastasis during laparoscopic gastric cancer surgery
A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease
The impact of leadership on AI deployment study outcomes in healthcare: an integrative analysis
Convergence of evolving artificial intelligence and machine learning techniques in precision oncology
Digital divides in telehealth accessibility for cancer care in the United States
Reply to: Association of accelerometer-measured physical activity intensity, sedentary time, and exercise time with incident Parkinson's disease: need more evidence
Assessing overdiagnosis of fecal immunological test screening for colorectal cancer with a digital twin approach
A caution against customized AI in healthcare
Device based monitoring in digital care and its impact on hospital service use
Smartphone keyboard dynamics predict affect in suicidal ideation
Head movement dynamics in dystonia: a multi-centre retrospective study using visual perceptive deep learning
CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images
Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19
Performance and clinical utility of supervised machine-learning approaches in detecting familial hypercholesterolaemia in primary care
A randomized pilot study evaluating socially assistive robot effects on patient engagement and care quality
Optimizing AI solutions for population health in primary care
A cluster randomised trial of digital messaging nudges to improve influenza vaccination uptake in China
Deep learning predicts hip fracture using confounding patient and healthcare variables
Automation of the kidney function prediction and classification through ultrasound-based kidney imaging using deep learning
The long but necessary road to responsible use of large language models in healthcare research
Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review
Predicting antidepressant response via local-global graph neural network and neuroimaging biomarkers
A reporting and analysis framework for structured evaluation of COVID-19 clinical and imaging data
Effectiveness of chatbots on COVID vaccine confidence and acceptance in Thailand, Hong Kong, and Singapore
Communication strategies driving online health community patient awareness and engagement investigated within atrial fibrillation context
Quantifying Early-Stage Lung Adenocarcinoma Progression with a Radiomic Trajectory
Beyond "implementation": digital health innovation and service design
Towards scaling Twitter for digital epidemiology of birth defects
An end-to-end deep learning pipeline for hematoma expansion prediction in spontaneous intracerebral hemorrhage based on non-contrast computed tomography
Localization-adjusted diagnostic performance and assistance effect of a computer-aided detection system for pneumothorax and consolidation
Machine learning-based predictions of healthcare contacts following emergency hospitalisation using electronic health records
Caregiver perceptions of healthcare barriers across traditional and digital contexts: a mixed-methods analysis
Digital health for environmentally sustainable cancer screening
Evaluating large language models on medical evidence summarization
An evaluation framework for ambient digital scribing tools in clinical applications
Author Correction: Effectiveness of DialBetesPlus, a self-management support system for diabetic kidney disease: Randomized controlled trial
Personalizing prostate cancer education for patients using an EHR-Integrated LLM agent
Simulating SARS-CoV-2 epidemics by region-specific variables and modeling contact tracing app containment
Determinants of artificial intelligence electrocardiogram-derived age and its association with cardiovascular events and mortality: a systematic review and meta-analysis
Predictive modeling of hemodynamics during viscerosensory neurostimulation via neural computation mechanism in the brainstem
A lightweight CVTC model for accurate Alzheimer's MRI analysis and lesion annotation
Dynamic associations between glucose and ecological momentary cognition in Type 1 Diabetes
Generation of realistic synthetic data using Multimodal Neural Ordinary Differential Equations
Deep learning to quantify care manipulation activities in neonatal intensive care units
Addressing racial disparities in surgical care with machine learning
Comparative analysis of natural language processing methodologies for classifying computed tomography enterography reports in Crohn's disease patients
Selecting and describing control conditions in mobile health randomized controlled trials: a proposed typology
Evaluating evidence-based health information from generative AI using a cross-sectional study with laypeople seeking screening information
Predicting abnormal fetal growth using deep learning
Author Correction: Developing and adopting safe and effective digital biomarkers to improve patient outcomes
Mobile app validation: a digital health scorecard approach
Empowering the digital therapeutic relationship: virtual clinics for digital health interventions
A short guide for medical professionals in the era of artificial intelligence
Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data
Real-time clinician text feeds from electronic health records
Personalised & optimised therapy (POT) algorithm using five cognitive and behavioural skills for subthreshold depression
Internet search patterns reveal firearm sales, policies, and deaths
Demographic and socioeconomic determinants of adherence in digital patient-reported outcomes among patients with chronic diseases
Transdiagnostic-focused apps for depression and anxiety: a meta-analysis
Deep learning biomarker of chronometric and biological ischemic stroke lesion age from unenhanced CT
Development and validation of a reinforcement learning model for ventilation control during emergence from general anesthesia
The effectiveness of public health advertisements to promote health: a randomized-controlled trial on 794, 000 participants
Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population
A computational framework for discovering digital biomarkers of glycemic control
Charting a new course in healthcare: early-stage AI algorithm registration to enhance trust and transparency
Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis
Meeting the challenges of electronic health record (EHR) optimization
Quantitative disease risk scores from EHR with applications to clinical risk stratification and genetic studies
The lucent yet opaque challenge of regulating artificial intelligence in radiology
Virtual fitness buddy ecosystem: a mixed reality precision health physical activity intervention for children
Evaluating commercial multimodal AI for diabetic eye screening and implications for an alternative regulatory pathway
Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data
Medical large language models are susceptible to targeted misinformation attacks
Characterizing the clinical relevance of digital phenotyping data quality with applications to a cohort with schizophrenia
Ten-year trends of the digital divides and its effect on healthy aging among older adults in China from 2011 to 2020
Establishment of a machine learning model for predicting splenic hilar lymph node metastasis
Real-time digital intervention on oral pre-exposure prophylaxis adherence among MSM: randomized controlled trial
Clinical entity augmented retrieval for clinical information extraction
A randomised controlled trial of a low-carbohydrate digitally-supported weight loss programme for type 2 diabetes
Culturally adapting internet- and mobile-based health promotion interventions might not be worth the effort: a systematic review and meta-analysis
A framework for considering the use of generative AI for health
A Global meta-analysis of digital divide in psychiatric population from 2004 to 2023
Predicting patient decompensation from continuous physiologic monitoring in the emergency department
A survey on clinical natural language processing in the United Kingdom from 2007 to 2022
Towards evaluating and building versatile large language models for medicine
Machine learning for technical skill assessment in surgery: a systematic review
Author Correction: A pragmatic randomized waitlist-controlled effectiveness and cost-effectiveness trial of digital interventions for depression and anxiety
A mixed-methods study exploring women's perceptions and recommendations for a pregnancy app with monitoring tools
Equitable artificial intelligence for glaucoma screening with fair identity normalization
Detecting motor symptom fluctuations in Parkinson's disease with generative adversarial networks
Commercialization of medical artificial intelligence technologies: challenges and opportunities
Leveraging Sarcopenia index by automated CT body composition analysis for pan cancer prognostic stratification
Continuous monitoring of surgical bimanual expertise using deep neural networks in virtual reality simulation
Efficiency and safety of automated label cleaning on multimodal retinal images
Personalized and real time hemodynamic management in critical care using Dynamic Cohort Ensemble Learning (DynaCEL)
Grass-roots entrepreneurship complements traditional top-down innovation in lung and breast cancer
Worldwide willingness to share health data high but privacy, consent and transparency paramount, a meta-analysis
A data-driven framework for selecting and validating digital health metrics: use-case in neurological sensorimotor impairments
Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling
Sweat monitoring beneath garments using passive, wireless resonant sensors interfaced with laser-ablated microfluidics
Indigenous data governance approaches applied in research using routinely collected health data: a scoping review
Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT
Deep learning for multi-type infectious keratitis diagnosis: A nationwide, cross-sectional, multicenter study
Cost-effectiveness of AI for pediatric diabetic eye exams from a health system perspective
H&E-based MSI/MMR testing with AI in colorectal cancer: a multi-centred blinded evaluation
Integrating personalized shape prediction, biomechanical modeling, and wearables for bone stress prediction in runners
A distributional reinforcement learning model for optimal glucose control after cardiac surgery
Interpretable survival prediction for colorectal cancer using deep learning
Age estimation from sleep studies using deep learning predicts life expectancy
Closing the gap: addressing telehealth disparities across specialties in the sustained pandemic era
Health data justice: building new norms for health data governance
Leveraging electronic medical records to evaluate a computerized decision support system for staphylococcus bacteremia
Personalized dose selection for the first Waldenström macroglobulinemia patient on the PRECISE CURATE.AI trial
Surgical gestures as a method to quantify surgical performance and predict patient outcomes
Reason and responsibility as a path toward ethical AI for (global) public health
3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology
Digital twins in dermatology, current status, and the road ahead
Prospective validation of dermoscopy-based open-source artificial intelligence for melanoma diagnosis (PROVE-AI study)
Systematic review of machine learning applications using nonoptical motion tracking in surgery
Reply: Matters Arising 'Investigating sources of inaccuracy in wearable optical heart rate sensors'
An intriguing vision for transatlantic collaborative health data use and artificial intelligence development
Crossing borders securely: synthetic data and federated networks for privacy-preserving access to real-world data and emerging use cases
An active inference strategy for prompting reliable responses from large language models in medical practice
Machine learning for real-time aggregated prediction of hospital admission for emergency patients
Broadening the reach of the FDA Sentinel system: A roadmap for integrating electronic health record data in a causal analysis framework
Machine learning model for differentiating xanthogranulomatous cholecystitis and gallbladder cancer in multicenter largescale study
Clinical phenotypes and short-term outcomes based on prehospital point-of-care testing and on-scene vital signs
Quantifying the impact of AI recommendations with explanations on prescription decision making
Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension
Generalist medical AI reimbursement challenges and opportunities
Digital Fellowships: Inspiring use of contemporary technologies in applied healthcare
Reducing outpatient visits for FIT-positive participants of colorectal cancer screening programs with home-based digital counselling
Predicting response to neoadjuvant chemotherapy in muscle-invasive bladder cancer via interpretable multimodal deep learning
Innovative new model predicts glucose levels without poking or prodding
A digital, decentralized trial of exercise therapy in patients with cancer
Pan-cancer diagnostic consensus through searching archival histopathology images using artificial intelligence
Harnessing the power of synthetic data in healthcare: innovation, application, and privacy
Distributed learning for heterogeneous clinical data with application to integrating COVID-19 data across 230 sites
Thermal sensors improve wrist-worn position tracking
Quality assessment standards in artificial intelligence diagnostic accuracy systematic reviews: a meta-research study
An interpretable RL framework for pre-deployment modeling in ICU hypotension management
Integrating Internet multisource big data to predict the occurrence and development of COVID-19 cryptic transmission
Integrative molecular-radiopathomic characterization of AIRE-driven immune subtypes in bladder cancer
Digital mental health care: five lessons from Act 1 and a preview of Acts 2-5
Author Correction: Deep learning for automated sleep staging using instantaneous heart rate
Dose-response relationship between computerized cognitive training and cognitive improvement
Policy brief: ambient AI scribes and the coding arms race
Emerging sensing and modeling technologies for wearable and cuffless blood pressure monitoring
Algorithmic fairness in pandemic forecasting: lessons from COVID-19
Individual-patient prediction of meningioma malignancy and survival using the Surveillance, Epidemiology, and End Results database
Osteoarthritis progression pattern based on patient specific characteristics using machine learning
Bias recognition and mitigation strategies in artificial intelligence healthcare applications
Bridging the literacy gap for surgical consents: an AI-human expert collaborative approach
African digital health strategic plans analysis: key weaknesses in contextualization, intervention focus, and technological foresight
CARE-AD: a multi-agent large language model framework for Alzheimer's disease prediction using longitudinal clinical notes
A scoping review of the governance of federated learning in healthcare
Sociomarkers and biomarkers: predictive modeling in identifying pediatric asthma patients at risk of hospital revisits
Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting
Transparency of artificial intelligence/machine learning-enabled medical devices
Predicting labor onset relative to the estimated date of delivery using smart ring physiological data
The effects of seasons and weather on sleep patterns measured through longitudinal multimodal sensing
Publisher Correction: Explainable artificial intelligence incorporated with domain knowledge diagnosing early gastric neoplasms under white light endoscopy
Predictive structured-unstructured interactions in EHR models: A case study of suicide prediction
Development and multicenter validation of an AI driven model for quantitative meibomian gland evaluation
Multicenter validation of a scalable, interpretable, multitask prediction model for multiple clinical outcomes
Identifying who are unlikely to benefit from total knee arthroplasty using machine learning models
A randomized controlled trial to evaluate innovative decision support in the context of fall prevention
A perspective for adapting generalist AI to specialized medical AI applications and their challenges
Digital mental health for postpartum women: perils, pitfalls, and promise
Seasonal timing and interindividual differences in shiftwork adaptation
Mobile Health: making the leap to research and clinics
Deviations from normal bedtimes are associated with short-term increases in resting heart rate
Multi-domain rule-based phenotyping algorithms enable improved GWAS signal
The application of machine learning techniques in posttraumatic stress disorder: a systematic review and meta-analysis
Electrophysiological signatures predict the therapeutic window of deep brain stimulation electrode contacts
A clinically interpretable model derived from skin conductance for assessing microangiopathy of the skin surface
Multimodal AI for risk stratification in autism spectrum disorder: integrating voice and screening tools
Natural language processing of electronic health records for early detection of cognitive decline: a systematic review
The Framing of machine learning risk prediction models illustrated by evaluation of sepsis in general wards
A systematic review of digital and imaging technologies for measuring fatigue in immune mediated inflammatory diseases
Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study
The social dynamics of lung cancer talk on Twitter, Facebook and Macmillan.org.uk
Predicting scheduled hospital attendance with artificial intelligence
Detecting early cognitive deficits in preclinical Alzheimer's disease using a remote digital multi-day learning paradigm
Potential reduction in healthcare carbon footprint by autonomous artificial intelligence
Publisher Correction: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare
Understanding the scalability of personalised monitoring within indoor spaces
Internet-based and mobile-based cognitive behavioral therapy for chronic diseases: a systematic review and meta-analysis
Clinical subphenotypes in COVID-19: derivation, validation, prediction, temporal patterns, and interaction with social determinants of health
A framework for human evaluation of large language models in healthcare derived from literature review
To pay or not to pay for artificial intelligence applications in radiology
Establishing organizational AI governance in healthcare: a case study in Canada
Empirically derived evaluation requirements for responsible deployments of AI in safety-critical settings
Presenting machine learning model information to clinical end users with model facts labels
Clinically applicable optimized periprosthetic joint infection diagnosis via AI based pathology
Looking for a balance between visual and automatic sleep scoring
Delivering digital cognitive behavioral therapy for insomnia at scale: does using a wearable device to estimate sleep influence therapy?
Machine learning for accurate estimation of fetal gestational age based on ultrasound images
Wearable technology interventions in patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis
ACTsmart - development and feasibility of digital Acceptance and Commitment Therapy for adults with chronic pain
An example of governance for AI in health services from Aotearoa New Zealand
An iterative approach for estimating domain-specific cognitive abilities from large scale online cognitive data
The digital transformation of medicine can revitalize the patient-clinician relationship
Randomized controlled study using text messages to help connect new medicaid beneficiaries to primary care
Walk, talk, think, see and feel: harnessing the power of digital biomarkers in healthcare
Computerized cognitive training for memory functions in mild cognitive impairment or dementia: a systematic review and meta-analysis
Confounders mediate AI prediction of demographics in medical imaging
A remote digital memory composite to detect cognitive impairment in memory clinic samples in unsupervised settings using mobile devices
CathAI: fully automated coronary angiography interpretation and stenosis estimation
Why we should not mistake accuracy of medical AI for efficiency
A meta-analysis of persuasive design, engagement, and efficacy in 92 RCTs of mental health apps
The digital transformation of surgery
Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews
Therapeutic outcomes of different treatment approaches for T1a-M3/T1b esophageal cancer and development of a prognostic prediction model
Regulatory considerations for developing remote measurement technologies for Alzheimer's disease research
How limited english proficiency impacts patient engagement with telemedicine: a systematic review
Predictive analytics for cardio-thoracic surgery duration as a stepstone towards data-driven capacity management
The effect of COVID-19 on the home behaviours of people affected by dementia
Google searches do not correlate with melanoma incidence in majority English speaking countries
Foundation versus domain-specific models for left ventricular segmentation on cardiac ultrasound
Digital biomarker of mental fatigue
3D pose estimation for scalable remote gait kinematics assessment
U-Sleep's resilience to AASM guidelines