Check health professions papers: citations, claims and retractions

Artificial Intelligence in Speech-Language Pathology and Dysphagia: A Review From Latin American Perspective and Pilot Test of LLMs for Rehabilitation Planning

Gallano, G., Giglio, A., & Ferre, A. (2025) · Journal of Voice

Voice and Speech DisordersArtificial Intelligence in Healthcare and Education

Cited by 9

Electronic Health Record Documentation Burden Crowds Out Health Information Exchange Use By Primary Care Physicians: Article examines electrnoic health record documentation burden

Holmgren, A. J., Adler-Milstein, J., & Apathy, N. C. (2024) · Health Affairs

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 9

A Deep‐Learning Model for Multi‐class Audio Classification of Vocal Fold Pathologies in Office Stroboscopy

Kim, Y. E., Dobko, M., Li, H., Shao, T., Periyakoil, P., Tipton, C., Colasacco, C., Serpedin, A., Elemento, O., Sabuncu, M., et al. (2025) · The Laryngoscope

Voice and Speech DisordersPhonocardiography and Auscultation Techniques

Cited by 9

Context matters—the phased development of an adaptable food literacy intervention: Up for Cooking

Harms, L. S. E., van Assema, P., Gubbels, J. S., Gerards, S. M. P. L., Linssen, E., Vonken, L., & Bessems, K. M. H. H. (2023) · Health Promotion International

Health Policy Implementation ScienceEvaluation and Performance Assessment

Cited by 9

Democratising Healthcare: The Role of eHealth Technologies in Driving Patient Participation

Amann, J. (2017) · EMJ Innovations

Health Literacy and Information AccessibilityMobile Health and mHealth Applications

Cited by 9

Support for the Spanish version of the CPAQ-8 as a measure of chronic pain acceptance

Sánchez‐Rodríguez, E., de la Vega, R., Racine, M., Roy, R., Jensen, M. P., & Miró, J. (2019) · Journal of Evaluation in Clinical Practice

Musculoskeletal pain and rehabilitationMindfulness and Compassion Interventions

Cited by 9

Effectiveness of SMS Technology on Timely Community Health Worker Follow-Up for Childhood Malnutrition: A Retrospective Cohort Study in sub-Saharan Africa

Sarma, S., Nemser, B., Cole-Lewis, H., Kaonga, N., Negin, J., Namakula, P., Ohemeng-Dapaah, S., & Kanter, A. S. (2018) · Global Health: Science and Practice

Mobile Health and mHealth ApplicationsICT in Developing Communities

Cited by 9

Longitudinal Evaluation of Cepstral Peak Prominence in Children

Heller Murray, E., & Yucel, R. (2026) · Journal of Voice

Voice and Speech DisordersPhonetics and Phonology Research

Cited by 9

Implementing multiple intervention strategies in Dutch public health-related policy networks

Harting, J., Peters, D., Grêaux, K., van Assema, P., Verweij, S., Stronks, K., & Klijn, E.-H. (2019) · Health Promotion International

Health Policy Implementation SciencePublic Policy and Administration Research

Cited by 9

Main Trends in mHealth Use Scenarios

Balandin, S., Balandina, E., Koucheryavy, Y., Kramar, V., & Medvedev, O. (2013) · Journal on Selected Topics in Nano Electronics and Computing

Mobile Health and mHealth ApplicationsInnovation in Digital Healthcare Systems

Cited by 9

Explaining variation of implementation outcomes of centralized waiting lists for unattached patients: A comparative multiple case study in Quebec

Malham, S. A., Smithman, M.-A., Touati, N., Brousselle, A., Loignon, C., Dubois, C.-A., Nour, K., Boivin, A., & Breton, M. (2019) · Journal of Health Organization and Management

Health Policy Implementation SciencePrimary Care and Health Outcomes

Cited by 9

When better data meets better design: How EHR data usability and system usability shape physicians' cognitive load

Merriweather, Lyytinen, K., Aron, D., & Cauley, M. R. (2026) · npj Digital Medicine

Electronic Health Records SystemsClinical Reasoning and Diagnostic Skills

Cited by 9

IBM Auto AI Bot: Diabetes Mellitus Prediction Using Machine Learning Algorithms

Kumar, J. N. V. R. S., Kumar, K. H., Haleem, A., Sivaranjani, B., Kiran, B. N. T., & Prameela, S. (2022) · 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC)

Artificial Intelligence in HealthcareData Mining and Machine Learning Applications

Cited by 8

Psychological Group Interventions for Reducing Distress Symptoms in Healthcare Workers: A Systematic Review.

Sanz, S., Valiente, C., Espinosa, R., & Trucharte, A. (2024) · Clinical Psychology & Psychotherapy

Healthcare professionals’ stress and burnoutOccupational Health and Burnout

Cited by 8

The impact of the BEL intervention on levels of motivation, engagement and recovery in people who attend community mental health services

Eklund, M., Lund, K., & Argentzell, E. (2023) · Scandinavian Journal of Occupational Therapy

Occupational Therapy Practice and ResearchMental Health and Patient Involvement

Cited by 8

Systematic review on the technology’s role in supporting lung cancer patients in the treatment journey

Elkefi, S., Wu, P., Sabra, R., Feiner, S., Chen, L., Hembroff, G., & Matthews, A. K. (2025) · npj Digital Medicine

Mobile Health and mHealth ApplicationsCancer survivorship and care

Cited by 8

Co-designing interventions within quality improvement initiatives: Notes from the field

Green, S. A., Carnegie, W., Barber, S., Matthew, D., & Matthews, R. (2018) · The Journal of Health Design

Mental Health and Patient InvolvementHealth Policy Implementation Science

Cited by 8

Mixed methods process evaluation of my breathing matters, a digital intervention to support self-management of asthma

Greenwell, K., Ainsworth, B., Bruton, A., Murray, E., Russell, D., Thomas, M., & Yardley, L. (2021) · npj Primary Care Respiratory Medicine

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 8

Catastrophic impact of 1947 partition of India on people's health

Tanveer, T., Mathur, N., & Sarwal, R. (2024) · Journal of Family Medicine and Primary Care

Health and Conflict StudiesSouth Asian Studies and Diaspora

Cited by 8

Politics and patient safety don't mix: understanding the failure of large-scale software procurement in healthcare

Johnson, C. W. (2009) · 4th IET International Conference on Systems Safety 2009. Incorporating the SaRS Annual Conference

Electronic Health Records SystemsSoftware Engineering Techniques and Practices

Cited by 8

Relationship between Amount of Daily Movement Measured by a Triaxial Accelerometer and Motor Symptoms in Patients with Parkinson’s Disease

Terashi, H., Mitoma, H., Yoneyama, M., & Aizawa, H. (2017) · Applied Sciences

Balance, Gait, and Falls PreventionParkinson's Disease Mechanisms and Treatments

Cited by 8

Classification and Assessment of the Patelar Reflex Response through Biomechanical Measures

Salazar-Muñoz, Y., López-Pérez, G. A., García-Caballero, B. E., Muñoz-Rios, R., Ruano-Calderón, L. A., & Trujillo, L. (2019) · Journal of Healthcare Engineering

Artificial Intelligence in HealthcareMuscle activation and electromyography studies

Cited by 8

Barriers and facilitators to interprofessional simulation-based learning in a Ugandan medical school: a qualitative study

Najjuma, J. N., Muhumuza, A., Santorino, D., Sekyere, S. O., Ocheke, A. N., Yiltok, S. J., & Bajunirwe, F. (2024) · BMC Medical Education

Interprofessional Education and CollaborationSimulation-Based Education in Healthcare

Cited by 8

Recognition of the Effect of vocal exercises by Fuzzy Triangular Naive Bayes, a machine learning classifier: A preliminary analysis

Santana, É. R., Lopes, L., & de Moraes, R. M. (2025) · Journal of Voice

Voice and Speech DisordersArtificial Intelligence in Healthcare

Cited by 8