Topol, Eric J.

Comparison of 24-hour holter monitoring with 14-day novel adhesive patch electrocardiographic monitoring

Barrett, P. M., Komatireddy, R., Haaser, S., Topol, S., Sheard, J., Encinas, J., Fought, A. J., & Topol, E. J. (2014) · The American Journal of Medicine

ECG Monitoring and AnalysisNon-Invasive Vital Sign Monitoring

Cited by 498

Can Mobile Health Technologies Transform Health Care?

Steinhubl, S. R., Muse, E. D., & Topol, E. J. (2013) · JAMA

Mobile Health and mHealth ApplicationsHealth, Technology, Consumer Behavior

Cited by 496

Common variants in KCNN3 are associated with lone atrial fibrillation

Ellinor, P. T., Lunetta, K. L., Glazer, N. L., Pfeufer, A., Alonso, A., Chung, M. K., Sinner, M. F., de Bakker, P. I. W., Mueller, M., Lubitz, S. A., et al. (2010) · Nature Genetics

Cardiac electrophysiology and arrhythmiasAtrial Fibrillation Management and Outcomes

Cited by 485

The Promise of Digital Health: Then, Now, and the Future

Verily, Abernethy, A., Adams, L., National Academy of Medicine, Barrett, M., ResMed, Bechtel, C., Health, X., Brennan, P., Medicine, N. L. O., et al. (2022) · NAM Perspectives

Mobile Health and mHealth ApplicationsTechnology and Human Factors in Education and Health

Cited by 477

Rare coding variants in the phospholipase D3 gene confer risk for Alzheimer’s disease

Cruchaga, C., Karch, C. M., Jin, S. C., Benitez, B. A., Cai, Y., Guerreiro, R., Harari, O., Norton, J., Budde, J., Bertelsen, S., et al. (2014) · Nature

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 461

Microdroplet-based PCR enrichment for large-scale targeted sequencing

Tewhey, R., Warner, J. B., Nakano, M., Libby, B., Medkova, M., David, P. H., Kotsopoulos, S. K., Samuels, M. L., Hutchison, J. B., Larson, J. W., et al. (2009) · Nature Biotechnology

Innovative Microfluidic and Catalytic Techniques InnovationGenomics and Phylogenetic Studies

Cited by 454

Wearable sensor data and self-reported symptoms for COVID-19 detection

Quer, G., Radin, J. M., Gadaleta, M., Baca-Motes, K., Ariniello, L., Ramos, E., Kheterpal, V., Topol, E. J., & Steinhubl, S. R. (2021) · Nature Medicine

COVID-19 Digital Contact TracingData-Driven Disease Surveillance

Cited by 447

Genome sequencing analysis identifies new loci associated with Lewy body dementia and provides insights into its genetic architecture

Chia, R., Sabir, M. S., Bandres-Ciga, S., Saez-Atienzar, S., Reynolds, R. H., Gustavsson, E., Walton, R. L., Ahmed, S., Viollet, C., Ding, J., et al. (2021) · Nature Genetics

Parkinson's Disease Mechanisms and TreatmentsDementia and Cognitive Impairment Research

Cited by 438

Amplified benefit of clopidogrel versus aspirin in patients with diabetes mellitus

Bhatt, D. L., Marso, S. P., Hirsch, A. T., Ringleb, P. A., Hacke, W., & Topol, E. J. (2002) · The American Journal of Cardiology

Antiplatelet Therapy and Cardiovascular DiseasesAcute Myocardial Infarction Research

Cited by 409

The All of Us Research Program: Data quality, utility, and diversity

Ramirez, A. H., Sulieman, L., Schlueter, D. J., Halvorson, A., Qian, J., Ratsimbazafy, F., Loperena, R., Mayo, K., Basford, M., Deflaux, N., et al. (2022) · Patterns

Electronic Health Records SystemsEthics in Clinical Research

Cited by 352

Randomised controlled trials evaluating artificial intelligence in clinical practice: a scoping review

Han, R., Acosta, J. N., Shakeri, Z., Ioannidis, J. P. A., Topol, E. J., & Rajpurkar, P. (2024) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationAI in cancer detection

Cited by 336

With an eye to AI and autonomous diagnosis

Keane, P. A., & Topol, E. J. (2018) · npj Digital Medicine

Retinal Imaging and AnalysisArtificial Intelligence in Healthcare and Education

Cited by 304

Harnessing wearable device data to improve state-level real-time surveillance of influenza-like illness in the USA: a population-based study

Radin, J. M., Wineinger, N. E., Topol, E. J., & Steinhubl, S. R. (2020) · The Lancet Digital Health

Data-Driven Disease SurveillanceInfluenza Virus Research Studies

Cited by 300

Artificial intelligence in surgery

Varghese, C., Harrison, E. M., O’Grady, G., & Topol, E. J. (2024) · Nature Medicine

Artificial Intelligence in Healthcare and EducationSurgical Simulation and Training

Cited by 287

Rimonabant for prevention of cardiovascular events (CRESCENDO): a randomised, multicentre, placebo-controlled trial

Topol, E. J., Bousser, M.-G., Fox, K. A., Creager, M. A., Despres, J.-P., Easton, J. D., Hamm, C. W., Montalescot, G., Steg, P. G., Pearson, T. A., et al. (2010) · The Lancet

Pharmacology and Obesity TreatmentCannabis and Cannabinoid Research

Cited by 266

Influence of donor age on induced pluripotent stem cells

Lo Sardo, V., Ferguson, W., Erikson, G. A., Topol, E. J., Baldwin, K. K., & Torkamani, A. (2017) · Nature Biotechnology

Pluripotent Stem Cells ResearchTelomeres, Telomerase, and Senescence

Cited by 223

Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist

Ning, Y., Teixayavong, S., Shang, Y., Savulescu, J., Nagaraj, V., Miao, D., Mertens, M., Ting, D. S. W., Ong, J. C. L., Liu, M., et al. (2024) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 212

Impact of body mass index on outcome after percutaneous coronary intervention (the obesity paradox)

Gurm, H. S., Brennan, D. M., Booth, J., Tcheng, J. E., Lincoff, A. M., & Topol, E. J. (2002) · The American Journal of Cardiology

Coronary Interventions and DiagnosticsAcute Myocardial Infarction Research

Cited by 194

Inter- and intraindividual variability in daily resting heart rate and its associations with age, sex, sleep, BMI, and time of year: Retrospective, longitudinal cohort study of 92,457 adults

Quer, G., Gouda, P., Galarnyk, M., Topol, E. J., & Steinhubl, S. R. (2020) · PLOS ONE

Heart Rate Variability and Autonomic ControlPhysical Activity and Health

Cited by 185

Novel Wireless Devices for Cardiac Monitoring

Walsh, J. A., Topol, E. J., & Steinhubl, S. R. (2014) · Circulation

Wireless Body Area NetworksNon-Invasive Vital Sign Monitoring

Cited by 175

LLM-based agentic systems in medicine and healthcare

Qiu, J., Lam, K., Li, G., Acharya, A., Wong, T. Y., Darzi, A., Yuan, W., & Topol, E. J. (2024) · Nature Machine Intelligence

Artificial Intelligence in Healthcare and EducationTechnology and Human Factors in Education and Health

Cited by 168

PRISMA AI reporting guidelines for systematic reviews and meta-analyses on AI in healthcare

Cacciamani, G. E., Chu, T. N., Sanford, D. I., Abreu, A., Duddalwar, V., Oberai, A., Kuo, C.-C. J., Liu, X., Denniston, A. K., Vasey, B., et al. (2023) · Nature Medicine

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 143

The rise of agentic AI teammates in medicine

Zou, J., & Topol, E. J. (2025) · The Lancet

Artificial Intelligence in Healthcare and EducationArtificial Intelligence Applications

Cited by 138

As artificial intelligence goes multimodal, medical applications multiply

Topol, E. J. (2023) · Science

Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications

Cited by 132