Check health professions papers: citations, claims and retractions

Clinical research in primary dental care

Heasman, P. A., Macpherson, L. E., Haining, S. A., & Breckons, M. (2015) · British Dental Journal

Dental Education, Practice, ResearchDental Health and Care Utilization

Cited by 8

Evaluation of a formal wellness curriculum to reduce burnout in anesthesia residents: a pilot study

Brainard, A., Ziniel, S. I., Zuk, J., Dingmann, C., & Janosy, N. R. (2019) · Journal of Education in Perioperative Medicine

Healthcare professionals’ stress and burnoutStress and Burnout Research

Cited by 8

‘Brain shivers': from chat room to clinic

Christmas, D. M. B. (2005) · Psychiatric Bulletin

Health Literacy and Information AccessibilityTreatment of Major Depression

Cited by 8

An ensemble learning model for detection of pulmonary hypertension using electrocardiogram, chest X-ray, and brain natriuretic peptide

Kishikawa, R., Kodera, S., Setoguchi, N., Tanabe, K., Kushida, S., Nanasato, M., Maki, H., Fujita, H., Kato, N., Watanabe, H., et al. (2025) · European Heart Journal - Digital Health

Artificial Intelligence in HealthcareECG Monitoring and Analysis

Cited by 8

Electronic health record use and perceptions among urologic surgeons

Tan, H.-J., Chung, A. E., Gotz, D., Deal, A. M., Heiling, H. M., Teal, R., Vu, M. B., Meeks, W. D., Fang, R., Bennett, A. V., et al. (2023) · Applied Clinical Informatics

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 8

mHealth4Afrika alpha validation in rural and deep rural clinics in Ethiopia, Kenya, Malawi and South Africa

Cunningham, M., Cunningham, P. M., van Greunen, D., Veldsman, A., Kanjo, C., Kweyu, E., & Tilahun, B. (2017) · 2017 IEEE Global Humanitarian Technology Conference (GHTC)

Mobile Health and mHealth ApplicationsICT in Developing Communities

Cited by 8

Evaluation of a HbA1c point-of-care analyzer

Menéndez-Valladares, P., Fernández-Riejos, P., Sánchez-Mora, C., Pérez-Pérez, A., Sánchez-Margalet, V., & González-Rodríguez, C. (2015) · Clinical Biochemistry

Clinical Laboratory Practices and Quality ControlDiabetes Management and Research

Cited by 8

Experience-Sampling Methodology with a Mobile Device in Fibromyalgia

Diana, C., Cristina, B., Azucena, G.-P., Luis, F., & Ignacio, M. (2012) · International Journal of Telemedicine and Applications

Mobile Health and mHealth ApplicationsUsability and User Interface Design

Cited by 8

The pace of hospital life: a mixed methods study

Long, J. C., Pomare, C., Ellis, L. A., Churruca, K., & Braithwaite, J. (2021) · PLOS ONE

Healthcare professionals’ stress and burnoutWorkplace Health and Well-being

Cited by 8

Disasters and Hospital Safety in Nigeria

Joshua, I. A. (2022) · GET Journal of Biosecurity and One Health

Disaster Response and ManagementDisaster Management and Resilience

Cited by 8

H3Africa partnerships to empower clinical research sites to generate high-quality biological samples

Croxton, T., Agala, N., Jonathan, E., Balogun, O., Ozumba, P. J., Onyemata, E., Lawal, S., Mamven, M., Ajayi, S., Melikam, S. E., et al. (2020) · African Journal of Laboratory Medicine

Clinical Laboratory Practices and Quality ControlEthics in Clinical Research

Cited by 8

Machine learning in diagnosing coronary artery disease via optical pumped magnetometer magnetocardiography: A prospective cohort study

Tu, C., Yang, S., Wang, Z., Liu, L., Ma, Z., Zhang, H., Feng, L., Cai, B., Zhang, H., Ding, M., et al. (2025) · Physiological Measurement

Artificial Intelligence in HealthcareAtomic and Subatomic Physics Research

Cited by 8

Investigating the gravity well algorithm to help in pointing in electronic interfaces by motor‐impaired users

Biswas, P., & Langdon, P. (2011) · Journal of Assistive Technologies

Assistive Technology in Communication and MobilityGaze Tracking and Assistive Technology

Cited by 8

Digital Rehabilitation for Elbow Pain Musculoskeletal Conditions: A Prospective Longitudinal Cohort Study

Janela, D., Costa, F., Molinos, M., Moulder, R. G., Lains, J., Bento, V., Scheer, J. K., Yanamadala, V., Cohen, S. P., & Correia, F. D. (2022) · International Journal of Environmental Research and Public Health

Musculoskeletal pain and rehabilitationTelemedicine and Telehealth Implementation

Cited by 8

The role of patient navigators: Case studies in Singapore

Mustapha, N. Z. B., Yi, X., Mohd Razali, M. R. B., Najumudin, N. B., & Barman, H. B. (2016) · Proceedings of Singapore Healthcare

Nursing Roles and PracticesInterprofessional Education and Collaboration

Cited by 8

Utility of Osazone Test to Identify Sugars

(Biochemistry), D. O. B., & MD, D. T. S. (2016) · Journal of Medical Science And clinical Research

Clinical Laboratory Practices and Quality ControlMetabolism and Genetic Disorders

Cited by 8

Barriers and facilitators to implementation of developmental screening and early intervention in Canadian organizations following completion of a training and coaching model: a thematic analysis

Peterson-Katz, K., Piccone, C., Tuzi, N., Kulkarni, C., & Reynolds, J. N. (2023) · Frontiers in Health Services

Health Policy Implementation ScienceHealth Sciences Research and Education

Cited by 8

Augmenting EHR interfaces for enhanced nurse communication and decision making

Chetta, A., Carrington, J. M., & Forbes, A. G. (2015) · Proceedings of the 2015 Workshop on Visual Analytics in Healthcare

Electronic Health Records SystemsData Visualization and Analytics

Cited by 8

Can patients with osteoporosis, who should benefit from implementation of the national service framework for older people, be identified from general practice computer records? A pilot study that illustrates the variability of computerized medical records and problems with searching them

de Lusignan, S., Chan, T., Wells, S., Cooper, A., Harvey, M., Brew, S., & Wright, M. (2003) · Public Health

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 8

Federated Learning Based Prediction of Chronic Kidney Diseases

Nandhini, J. M., Joshi, S., & Anuratha, K. (2022) · 2022 1st International Conference on Computational Science and Technology (ICCST)

Artificial Intelligence in HealthcareAI in cancer detection

Cited by 8

Teaching ethics that honor the patient’s and the provider’s voice: The role of clinical integrity

Grace, A. J., & Kirkpatrick, H. A. (2018) · The International Journal of Psychiatry in Medicine

Ethics in medical practiceEthics and bioethics in healthcare

Cited by 8

Development of an intelligent clinical decision support system for the early prediction of diabetic nephropathy

Afrash, M. R., Rahimi, F., Kazemi-Arpanahi, H., Shanbezadeh, M., Amraei, M., & Asadi, F. (2022) · Informatics in Medicine Unlocked

Artificial Intelligence in HealthcareChronic Kidney Disease and Diabetes

Cited by 8

Automatic speech analysis combined with machine learning reliably predicts the motor state in people with Parkinson's disease

Thies, T., Mallick, E., Tröger, J., Baykara, E., Mücke, D., & Barbe, M. T. (2025) · npj Parkinson's Disease

Voice and Speech DisordersParkinson's Disease Mechanisms and Treatments

Cited by 8

El cuidado de enfermería en pacientes con riesgo cardiovascular sustentado en la teoría de Nola J Pender

Cadena Estrada, J. C. (2017) · Investigación en Enfermería: Imagen y Desarrollo

Health and Wellbeing ResearchNursing care and research

Cited by 8