Check medicine papers: citations, claims and retractions

Enhancing sepsis management through machine learning techniques: A review

Ocampo-Quintero, N., Vidal-Cortés, P., del Río Carbajo, L., Fdez-Riverola, F., Reboiro-Jato, M., & Glez-Peña, D. (2022) · Medicina Intensiva

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 20

Nitric oxide and nitrite-based therapeutic opportunities in intimal hyperplasia

Alef, M. J., Tzeng, E., & Zuckerbraun, B. S. (2012) · Nitric Oxide

Nitric Oxide and Endothelin EffectsCardiovascular Health and Disease Prevention

Cited by 20

Epistemo-ethical constraints on AI-human decision making for diagnostic purposes

Babushkina, D., & Votsis, A. (2022) · Ethics and Information Technology

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 20

Assessment of Patients with Fibromyalgia Syndrome

Mease, P. J. (2008) · Journal of Musculoskeletal Pain

Fibromyalgia and Chronic Fatigue Syndrome ResearchMusculoskeletal pain and rehabilitation

Cited by 20

Liver Capsule: FXR agonists against liver disease

Fuchs, C. D., Schwabl, P., Reiberger, T., & Trauner, M. (2016) · Hepatology

Drug Transport and Resistance MechanismsLiver Disease Diagnosis and Treatment

Cited by 20

Diagnosis of adrenal failure in critically ill patients

Moraes, R. B., Czepielewski, M. A., Friedman, G., & Borba, E. L. D. (2011) · Arquivos Brasileiros de Endocrinologia & Metabologia

Adrenal Hormones and DisordersStress Responses and Cortisol

Cited by 20

Engaging Multidisciplinary clinical users in the design of an artificial intelligence-powered graphical user interface for intensive care unit instability decision support

Helman, S., Terry, M. A., Pellathy, T., Hravnak, M., George, E., Al-Zaiti, S., & Clermont, G. (2023) · Applied Clinical Informatics

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

Cited by 20

Iron deposition and distribution across the hippocampus is associated with pattern separation and pattern completion in older adults at risk for Alzheimer’s disease

Zhou, J., Wearn, A., Huck, J., Hughes, C., Baracchini, G., Tremblay-Mercier, J., Poirier, J., Villeneuve, S., Tardif, C. L., Chakravarty, M. M., et al. (2024) · The Journal of Neuroscience

Dementia and Cognitive Impairment ResearchNeurological diseases and metabolism

Cited by 20

Activity-responsive pacing produces long-term heart rate variability.

RAJ, S. R., ROACH, D. E., KOSHMAN, M., & SHELDON, R. S. (2004) · Journal of Cardiovascular Electrophysiology

Heart Rate Variability and Autonomic ControlCardiac pacing and defibrillation studies

Cited by 20

Current normal values for TSH and FT3 in children are too low: evidence from over 11,000 samples

Strich, D., Edri, S., & Gillis, D. (2012) · Journal of Pediatric Endocrinology and Metabolism

Thyroid Disorders and TreatmentsClinical Laboratory Practices and Quality Control

Cited by 20

Scientific Certainty in a Time of Uncertainty: Predicting Vulnerability of Canada's First Nations to Pandemic H1N1/09

Spence, N., & White, J. P. (2010) · International Indigenous Policy Journal

Influenza Virus Research StudiesIndigenous Health, Education, and Rights

Cited by 20

Foetal Sonographic Anogenital Distance Is Longer in Polycystic Ovary Syndrome Mothers

Perlman, S., Toledano, Y., Kivilevitch, Z., Halevy, N., Rubin, E., & Gilboa, Y. (2020) · Journal of Clinical Medicine

Ovarian function and disordersSexual Differentiation and Disorders

Cited by 20

Does cognitive reserve moderate the association between mood and cognition? A systematic review

Opdebeeck, C., Quinn, C., Nelis, S. M., & Clare, L. (2015) · Reviews in Clinical Gerontology

Dementia and Cognitive Impairment ResearchAging and Gerontology Research

Cited by 20

Long-term effects of group therapy for patients with mild cognitive impairment and their significant others: A 6- to 8-month follow-up study

Banningh, L. W. A. J.-W., Roelofs, S. C. F., Vernooij-Dassen, M. J. F. J., Prins, J. B., Rikkert, M. G. M. O., & Kessels, R. P. C. (2013) · Dementia

Dementia and Cognitive Impairment ResearchMindfulness and Compassion Interventions

Cited by 20

Predictive Models of Sepsis in Adult ICU Patients

Wang, R. Z., Sun, C. H., Schroeder, P. H., Ameko, M. K., Moore, C. C., & Barnes, L. E. (2018) · 2018 IEEE International Conference on Healthcare Informatics (ICHI)

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 20

Alternative Cell Sources for Liver Parenchyma Repopulation: Where Do We Stand?

Tricot, T., De Boeck, J., & Verfaillie, C. (2020) · Cells

Liver physiology and pathologyTissue Engineering and Regenerative Medicine

Cited by 20

Metabolic response to different forms of physical exercise in type I diabetics and the duration of the glucose lowering effect

HÜBINGER, A., RIDDERSKAMP, I., LEHMANN, E., & GRIES, F. A. (1985) · European Journal of Clinical Investigation

Diabetes Management and ResearchPhysical Activity and Health

Cited by 20

Prenatal maternal depressive symptoms are associated with neonatal left amygdala microstructure in a sex‐dependent way

Hashempour, N., Tuulari, J. J., Merisaari, H., Acosta, H., Lewis, J. D., Pelto, J., Scheinin, N. M., Fonov, V. S., Collins, D. L., Lehtola, S. J., et al. (2023) · European Journal of Neuroscience

Maternal Mental Health During Pregnancy and PostpartumPrenatal Substance Exposure Effects

Cited by 20

Effect of pretreatment with transdermal testosterone on poor ovarian responders undergoing IVF/ICSI: A meta-analysis

LUO, S., LI, S., LI, X., QIN, L., & JIN, S. (2014) · Experimental and Therapeutic Medicine

Ovarian function and disordersReproductive Biology and Fertility

Cited by 20

An increase in fat mass index predicts a deterioration of running speed

Genton, L., Mareschal, J., Karsegard, V. L., Achamrah, N., Delsoglio, M., Pichard, C., Graf, C., & Herrmann, F. R. (2019) · Nutrients

Sports Performance and TrainingBody Composition Measurement Techniques

Cited by 20

Artificial intelligence, machine learning, and deep learning in orthopedic surgery

Atik, O. Ş. (2022) · Joint Diseases and Related Surgery

Artificial Intelligence in Healthcare and EducationMedical Imaging and Analysis

Cited by 20

Three-Dimensional Photography for Quantitative Assessment of Penile Volume-Loss Deformities in Peyronie's Disease

Margolin, E. J., Mlynarczyk, C. M., Mulhall, J. P., Stember, D. S., & Stahl, P. J. (2017) · The Journal of Sexual Medicine

Sexual function and dysfunction studiesUrological Disorders and Treatments

Cited by 20

Profiling metabolic remodeling in PP2Acα deficiency and chronic pressure overload mouse hearts

Dong, D., Li, L., Gu, P., Jin, T., Wen, M., Yuan, C., Gao, X., Liu, C., & Zhang, Z. (2015) · FEBS Letters

Cardiovascular Function and Risk FactorsCardiac Fibrosis and Remodeling

Cited by 20

Understanding the perspectives of recruiters is key to improving randomised controlled trial enrolment: a qualitative evidence synthesis

Farrar, N., Elliott, D., Houghton, C., Jepson, M., Mills, N., Paramasivan, S., Plumb, L., Wade, J., Young, B., Donovan, J. L., et al. (2022) · Trials

Ethics in Clinical ResearchHealth Policy Implementation Science

Cited by 20