Research map: Medical AI across data regimes to promote proactive health
Back to the article
Papers in this map
- A guide to deep learning in healthcare · Andre Esteva · 2018 · 5264 citations · Cited by this paper
- An Algorithm for Identifying Microvascular Complications in Type 1 Diabetes in Clinical Setting: Development and External Validation · 2026 · Related
- Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021 · Alize J Ferrari · 2024 · 5015 citations · Cited by this paper
- In-Hospital Mortality Prediction among Intensive Care Unit Patients with Acute Ischemic Stroke: A Machine Learning Approach · 2025 · Related
- AI in health and medicine · Pranav Rajpurkar · 2022 · 2930 citations · Cited by this paper
- Projected Prevalence and Economic Burden of Alzheimer’s Disease and Related Dementias in China: Regional Disparities and Policy Implications · 2025 · Related
- Big Data and Machine Learning in Health Care · Andrew L. Beam · 2018 · 2356 citations · Cited by this paper
- Electronic Health Record-Based Machine Learning Model for Predicting Disease Activity in Patients with Rheumatoid Arthritis · 2026 · Related
- Deep learning-enabled medical computer vision · Andre Esteva · 2021 · 1399 citations · Cited by this paper
- A Scoping Review of Deep Learning Methods for Photoplethysmography Data · 2026 · Related
- Multimodal biomedical AI · Julián Acosta · 2022 · 1325 citations · Cited by this paper
- Synthetic data, synthetic trust: navigating data challenges in the digital revolution · 2025 · Related
- Artificial Intelligence Risk Management Framework (AI RMF 1.0) · Elham Tabassi · 2023 · 1094 citations · Cited by this paper
- Multiscale Contextual Mamba: Advancing Psychiatric Disorder Detection across Multisite Functional Magnetic Resonance Imaging Datasets via State Space Modeling · 2025 · Related
- Legal and Ethical Consideration in Artificial Intelligence in Healthcare: Who Takes Responsibility? · Nithesh Naik · 2022 · 932 citations · Cited by this paper
- Aligning Climate Mitigation, Air Pollution Control, and Healthy Aging · 2026 · Related
- Digital health for aging populations · Chuanrui Chen · 2023 · 510 citations · Cited by this paper
- From resolution to reality: advancing point-of-care diagnostics for kidney disease in low-resource settings · 2025 · Related
- Flexible Wearable Sensors for Cardiovascular Health Monitoring · Shuwen Chen · 2021 · 450 citations · Cited by this paper
- Digital Exclusion and Depressive Symptoms among Older People: Findings from Five Aging Cohort Studies across 24 Countries · 2024 · Related
- Axes of a revolution: challenges and promises of big data in healthcare · Smadar Shilo · 2020 · 388 citations · Cited by this paper
- The EU Approach to Ethics Guidelines for Trustworthy Artificial Intelligence · Nathalie A. Smuha · 2019 · 363 citations · Cited by this paper
- Considerations for addressing bias in artificial intelligence for health equity · Michael D. Abràmoff · 2023 · 341 citations · Cited by this paper
- Causal machine learning for predicting treatment outcomes · Stefan Feuerriegel · 2024 · 332 citations · Cited by this paper
- Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review · Seyedeh Neelufar Payrovnaziri · 2020 · 329 citations · Cited by this paper
- Artificial intelligence and machine learning algorithms for early detection of skin cancer in community and primary care settings: a systematic review · O. T. G. Jones · 2022 · 274 citations · Cited by this paper
- Large language models empowered agent-based modeling and simulation: a survey and perspectives · Chen Gao · 2024 · 263 citations · Cited by this paper
- Applications of Machine Learning in Real-Life Digital Health Interventions: Review of the Literature · Andreas K. Triantafyllidis · 2019 · 262 citations · Cited by this paper
- Real time remote symptom monitoring during chemotherapy for cancer: European multicentre randomised controlled trial (eSMART) · Roma Maguire · 2021 · 260 citations · Cited by this paper
- Clinical AI: opacity, accountability, responsibility and liability · Helen Smith · 2020 · 241 citations · Cited by this paper
- Machine learning in point-of-care testing: innovations, challenges, and opportunities · Gyeo‐Re Han · 2025 · 232 citations · Cited by this paper
- Role of Machine Learning Assisted Biosensors in Point-of-Care-Testing For Clinical Decisions · Manish L. Bhaiyya · 2024 · 222 citations · Cited by this paper
- Optimized glycemic control of type 2 diabetes with reinforcement learning: a proof-of-concept trial · Guangyu Wang · 2023 · 153 citations · Cited by this paper
- A systematic review and meta-analysis of artificial intelligence versus clinicians for skin cancer diagnosis · María Paz Salinas · 2024 · 147 citations · Cited by this paper
- Evaluating large language models as agents in the clinic · Nikita Mehandru · 2024 · 142 citations · Cited by this paper
- Expert systems: Definitions, advantages and issues in medical field applications · Aurora Saibene · 2021 · 131 citations · Cited by this paper
- Recommendations to advance digital health equity: a systematic review of qualitative studies · Sarah Wilson · 2024 · 131 citations · Cited by this paper
- Current safeguards, risk mitigation, and transparency measures of large language models against the generation of health disinformation: repeated cross sectional analysis · Bradley Douglas Menz · 2024 · 125 citations · Cited by this paper
- A Primer on Reinforcement Learning in Medicine for Clinicians · Pushkala Jayaraman · 2024 · 121 citations · Cited by this paper
Source: OpenAlex (CC0)