Check medicine papers: citations, claims and retractions

Novel method to analyze post-yield mechanical properties at trabecular bone tissue level

Carretta, R., Luisier, B., Bernoulli, D., Stüssi, E., Müller, R., & Lorenzetti, S. (2013) · Journal of the Mechanical Behavior of Biomedical Materials

Bone health and osteoporosis researchElasticity and Material Modeling

Cited by 43

Recognizing Heuristics and Bias in Clinical Decision-making

Hughes, T. M., Dossett, L. A., Hawley, S. T., & Telem, D. A. (2020) · Annals of Surgery

Clinical Reasoning and Diagnostic SkillsDecision-Making and Behavioral Economics

Cited by 43

“Many roads lead to Rome and the Artificial Intelligence only shows me one road”: an interview study on physician attitudes regarding the implementation of computerised clinical decision support systems

Van Cauwenberge, D., Van Biesen, W., Decruyenaere, J., Leune, T., & Sterckx, S. (2022) · BMC Medical Ethics

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

Cited by 43

Screening for psychiatric disorders in outpatients with DSM-IV substance use disorders

Zimmerman, M., Sheeran, T., Chelminski, I., & Young, D. (2004) · Journal of Substance Abuse Treatment

Substance Abuse Treatment and OutcomesAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 43

Development of an artificial intelligence tool for detecting colorectal lesions in inflammatory bowel disease

Guerrero Vinsard, D., Fetzer, J. R., Agrawal, U., Singh, J., Damani, D. N., Sivasubramaniam, P., Poigai Arunachalam, S., Leggett, C. L., Raffals, L. E., & Coelho-Prabhu, N. (2023) · iGIE

Colorectal Cancer Screening and DetectionAI in cancer detection

Cited by 43

Does Malaria Affect Placental Development? Evidence from In Vitro Models

Umbers, A. J., Stanisic, D. I., Ome, M., Wangnapi, R., Hanieh, S., Unger, H. W., Robinson, L. J., Lufele, E., Baiwog, F., Siba, P. M., et al. (2013) · PLoS ONE

Malaria Research and ControlPregnancy and preeclampsia studies

Cited by 43

Increased Hospitalizations Involving Fungal Infections during COVID-19 Pandemic, United States, January 2020–December 2021

Gold, J. A. W., Adjei, S., Gundlapalli, A. V., Huang, Y.-L. A., Chiller, T., Benedict, K., & Toda, M. (2023) · Emerging Infectious Diseases

Antifungal resistance and susceptibilityFungal Infections and Studies

Cited by 43

Medium and long-term adherence to postabortion contraception among women having experienced unsafe abortion in Dar es Salaam, Tanzania

Rasch, V., Yambesi, F., & Massawe, S. (2008) · BMC Pregnancy and Childbirth

Reproductive Health and ContraceptionGlobal Maternal and Child Health

Cited by 43

Brain activity measurement during program comprehension with NIRS

Ikutani, Y., & Uwano, H. (2014) · 15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)

Optical Imaging and Spectroscopy TechniquesNeuroscience, Education and Cognitive Function

Cited by 43

Intentional inhibition but not source memory is related to hallucination-proneness and intrusive thoughts in a university sample

Alderson-Day, B., Smailes, D., Moffatt, J., Mitrenga, K., Moseley, P., & Fernyhough, C. (2019) · Cortex

Schizophrenia research and treatmentHallucinations in medical conditions

Cited by 43

Serious fungal infections in Thailand

Chayakulkeeree, M., & Denning, D. W. (2017) · European Journal of Clinical Microbiology & Infectious Diseases

Antifungal resistance and susceptibilityFungal Infections and Studies

Cited by 43

Balanced: a randomised trial examining the efficacy of two self-monitoring methods for an app-based multi-behaviour intervention to improve physical activity, sitting and sleep in adults

Duncan, M. J., Vandelanotte, C., Trost, S. G., Rebar, A. L., Rogers, N., Burton, N. W., Murawski, B., Rayward, A., Fenton, S., & Brown, W. J. (2016) · BMC Public Health

Physical Activity and HealthMobile Health and mHealth Applications

Cited by 43

Sun exposure and malignant melanoma among susceptible individuals

Dubin, N., Moseson, M., & Pasternack, B. S. (1989) · Environmental Health Perspectives

Cutaneous Melanoma Detection and ManagementSkin Protection and Aging

Cited by 43

The role of depression in the relationship between cognitive decline and quality of life among breast cancer patients

Park, J.-H., Jung, Y. S., Jung, Y.-M., & Bae, S. H. (2019) · Supportive Care in Cancer

Cancer survivorship and careCancer-related cognitive impairment studies

Cited by 43

Effects of exercise-training and detraining on fat cell lipolysis in men and women

Despr�s, J. P., Bouchard, C., Savard, R., Tremblay, A., Marcotte, M., & Th�riault, G. (1984) · European Journal of Applied Physiology and Occupational Physiology

Adipose Tissue and MetabolismLipid metabolism and biosynthesis

Cited by 43

Sweat Facilitated Amino Acid Losses in Male Athletes during Exercise at 32-34°C

Dunstan, R. H., Sparkes, D. L., Dascombe, B. J., Macdonald, M. M., Evans, C. A., Stevens, C. J., Crompton, M. J., Gottfries, J., Franks, J., Murphy, G., et al. (2016) · PLOS ONE

Thermoregulation and physiological responsesMuscle metabolism and nutrition

Cited by 43

North Wales randomized controlled trial of cognitive behaviour therapy for acute schizophrenia spectrum disorders: two-year follow-up and economic evaluation

STARTUP, M., JACKSON, M. C., EVANS, K. E., & BENDIX, S. (2005) · Psychological Medicine

Schizophrenia research and treatmentPsychiatric care and mental health services

Cited by 43

Targeting Kv7 Potassium Channels for Epilepsy

Perucca, E., & Taglialatela, M. (2025) · CNS Drugs

Epilepsy research and treatmentIon channel regulation and function

Cited by 43

Social Network Chatbots for Smoking Cessation: Agent and Multi-Agent Frameworks

Calvaresi, D., Calbimonte, J.-P., Dubosson, F., Najjar, A., & Schumacher, M. (2019) · IEEE/WIC/ACM International Conference on Web Intelligence

Smoking Behavior and CessationAI in Service Interactions

Cited by 43

Dermoscopy practice guidelines for use in telemedicine

Deda, L. C., Goldberg, R. H., Jamerson, T. A., Lee, I., & Tejasvi, T. (2022) · npj Digital Medicine

Cutaneous Melanoma Detection and ManagementTelemedicine and Telehealth Implementation

Cited by 43

Understanding the Role of Androgen Action in Female Adipose Tissue

Schiffer, L., Arlt, W., & O’Reilly, M. W. (2019) · Frontiers of Hormone Research

Ovarian function and disordersAdipokines, Inflammation, and Metabolic Diseases

Cited by 43

A Peptide Inhibitor of c-Jun N-Terminal Kinase for the Treatment of Endotoxin-Induced Uveitis

Touchard, E., Omri, S., Naud, M.-C., Berdugo, M., Deloche, C., Abadie, C., Jonet, L., Jeanny, J.-C., Crisanti, P., de Kozak, Y., et al. (2010) · Investigative Opthalmology & Visual Science

Ocular Diseases and Behçet’s SyndromeOcular Infections and Treatments

Cited by 43

DeepBTS: Prediction of Recurrence-free Survival of Non-small Cell Lung Cancer Using a Time-binned Deep Neural Network

Lee, B., Chun, S. H., Hong, J. H., Woo, I. S., Kim, S., Jeong, J. W., Kim, J. J., Lee, H. W., Na, S. J., Beck, K. S., et al. (2020) · Scientific Reports

Radiomics and Machine Learning in Medical ImagingAI in cancer detection

Cited by 43

No evidence of an increase of bacterial and viral infections following measles, mumps and rubella vaccine

Stowe, J., Andrews, N., Taylor, B., & Miller, E. (2009) · Vaccine

Virology and Viral DiseasesImmune responses and vaccinations

Cited by 43