publication venue for
- Author Correction: Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling. 2024
- A framework for human evaluation of large language models in healthcare derived from literature review.. 7. 2024
- Deep learning for identifying personal and family history of suicidal thoughts and behaviors from EHRs.. 7. 2024
- Closing the gap between open source and commercial large language models for medical evidence summarization.. 7. 2024
- Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling.. 7. 2024
- Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine.. 7. 2024
- Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data.. 7. 2024
- StrokeClassifier: ischemic stroke etiology classification by ensemble consensus modeling using electronic health records.. 7. 2024
- Large language models propagate race-based medicine.. 6. 2023
- Deep learning analysis of blood flow sounds to detect arteriovenous fistula stenosis.. 6. 2023
- Evaluating large language models on medical evidence summarization.. 6. 2023
- Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning.. 6. 2023
- Prospective validation of dermoscopy-based open-source artificial intelligence for melanoma diagnosis (PROVE-AI study).. 6. 2023
- Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression.. 6. 2023
- Surgical gestures as a method to quantify surgical performance and predict patient outcomes.. 5. 2022
- An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data.. 5. 2022
- Randomized trial of two artificial intelligence coaching interventions to increase physical activity in cancer survivors.. 4. 2021
- Clinical subphenotypes in COVID-19: derivation, validation, prediction, temporal patterns, and interaction with social determinants of health.. 4. 2021
- Exploring the feasibility of using real-world data from a large clinical data research network to simulate clinical trials of Alzheimer's disease.. 4. 2021
- Digital biomarker of mental fatigue.. 4. 2021
- Randomized controlled study using text messages to help connect new medicaid beneficiaries to primary care.. 4. 2021
- Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs.. 3. 2020
- Machine learning and atherosclerotic cardiovascular disease risk prediction in a multi-ethnic population.. 3. 2020
- Predicting risk of late age-related macular degeneration using deep learning.. 3. 2020
- Automated abnormality classification of chest radiographs using deep convolutional neural networks.. 3. 2020
- Deep learning interpretation of echocardiograms.. 3. 2020
- Beyond duty hours: leveraging large-scale paging data to monitor resident workload.. 2. 2019
- A novel noninvasive method for remote heart failure monitoring: the EuleriAn video Magnification apPLications In heart Failure studY (AMPLIFY).. 2. 2019
- Benchmark on a large cohort for sleep-wake classification with machine learning techniques.. 2. 2019
- Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization.. 2. 2019
- Innovative new model predicts glucose levels without poking or prodding.. 4. 2021
- Simulated trials: in silico approach adds depth and nuance to the RCT gold-standard.. 4. 2021
- Beyond performance metrics: modeling outcomes and cost for clinical machine learning.. 4. 2021
- Wearables as a tool for measuring therapeutic adherence in behavioral health.. 4. 2021
- New machine learning model predicts who may benefit most from COVID-19 vaccination.. 4. 2021
- Anticipating and treating dementia: lessons hidden in plain sight.. 3. 2020
- Best practices for authors of healthcare-related artificial intelligence manuscripts.. 3. 2020
- Smartphone apps for depression and anxiety: a systematic review and meta-analysis of techniques to increase engagement. 2021
- The future of sleep health: a data-driven revolution in sleep science and medicine. 2020
- Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare. 2023
- A translational perspective towards clinical AI fairness. 2023
- The performance of serious games for enhancing attention in cognitively impaired older adults. 2023
- Multimodal machine learning in precision health: A scoping review. 2022
- A framework for digital health equity. 2022
- The performance of artificial intelligence-driven technologies in diagnosing mental disorders: an umbrella review. 2022
- It is time to learn from patients like mine. 2019