Artificial Intelligence in Health Care: The Hope, the Hype, the Promise, the Peril

Transformations of Medical Professional Authority in the Age of Artificial Intelligence and Medical Automation: A Panel Analysis of the G20 Healthcare Sector (2015–2022)

Djerfi, A. (2025) · European Review of Applied Sociology · doi:10.2478/eras-2025-0009

Artificial Intelligence in Health Care: Promise, Progress, and Perils

Sharma, R. (2025) · Health and population. Perspectives and issues · doi:10.5005/hppi-11041-0019

Health Information Exchange (HIE) for Seamless Data Sharing

Sharma, S., Sharma, A., SUNITA, S., Sharma, A. M., Verma, A., & Firdous, J. U. (2025) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9798898811594125010006

Better Together: Integrating AI Into Interprofessional Healthcare Provider Education To Improve Patient Care

Bushana, P. N., Alshuaib, S., Lu, D., & Shainker-Connelly, S. J. (2025) · Journal of Science Policy & Governance · doi:10.38126/jspg270102

Integrating Deep Learning into Educational Wellbeing: Early Screening of Anxiety, Depression, and Stress Among University Students

Juárez-Santiago, B., Olvera-Raymundo, K., OLIVARES-RAMÍREZ, J. M., OLGUÍN-LÓPEZ, N., Rodríguez-Abreo, O., & Rodríguez‐Reséndiz, J. (2025) · Education Sciences · doi:10.3390/educsci16010050 · Cited by 2

Applications of Machine Learning for Cognitive Health in Older Individuals With HIV: Rapid Systematic Review

Cho, H., Song, J., Cho, H., Li, L., Liang, R., Miranda, R., Song, Q., & Bian, J. (2025) · JMIR Aging · doi:10.2196/80433

Modern Advancements in AI for Healthcare Diagnostics

Khan, D. N. A. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/407372 · Cited by 1

Aplicaciones de la inteligencia artificial en atención primaria de salud: oportunidades y desafíos para América latina

Cofre, C. E. M., & Zúñiga, D. L. Y. (2026) · Revista Multidisciplinar Epistemología de las Ciencias · doi:10.71112/kbqj4x03

Development of Data-Driven Models for Just-in-Time Digital Self-Management Advice to Improve Physical Functioning in Hip and Knee Osteoarthritis: Protocol for the e-cOAch Cross-Over Study

Groen, F., de Rooij, M., Kloek, C. J. J., Veenhof, C., Klein, M. C. A., Al-Janabi, A., van Haeringen, E. S., Ronteltap, A., Cijs, B., van Dongen, B., et al. (2026) · JMIR Research Protocols · doi:10.2196/94709

The Implications and Consequences of Employing Artificial Intelligence in Nursing Practice: An Integrative Review

Eshah, N. F., Rayan, A., Khalifeh, A. H., Omar, H., Alhasanat, E., Alrawashda, A., & Jafer, L. (2026) · Studies in systems, decision and control · doi:10.1007/978-3-032-15739-3_50

Artificial intelligence/machine learning in Alaska Native healthcare systems: symposium perspectives

Hiratsuka, V. Y., Pritchard, A., Day, G., Thomas, T., Wark, K. A., Shane, A. L., Onders, R., Hernandez‐Boussard, T., & Rice, B. T. (2026) · International Journal of Circumpolar Health · doi:10.1080/22423982.2026.2677426

Multimodal and Explainable Artificial Intelligence for Precision Healthcare: Integrating Federated Learning, Governance, and Affective Computing

Iglesias, V. S., Modi, N. J., Purackal, R. S., Shoukat, K., Koyun, A., Nangolo, M. N., & Park, K. (2026) · Westcliff International Journal of Applied Research · doi:10.47670/wuwijar20262vnrkamk

AI in Health Care and Health Disparities

Ji, M., Xu, S., Yang, F., & Bachman, S. S. (2026) · Springer eBooks · doi:10.1007/978-3-032-18443-6_5

Smart Technology, Fragile Hearts: Navigating AI’s Challenges and Limitations in Heart Failure Management

Nona, P. J., Firos, J. R. B., Zografos, C., Schuuring, M. J., Bhatt, A., & Andrikopoulou, E. (2026) · Current Heart Failure Reports · doi:10.1007/s11897-026-00766-9

Uncanny Human Kinds: the Problematic Social Life of Deep Learning-Generated Health Categories

Postan, E. (2026) · Philosophy & Technology · doi:10.1007/s13347-026-01125-1

ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS – SOCIAL AND ETHICAL IMPLICATIONS

Ignarska, J., `Mzabi, S. K., Piech, B., Judzińska, A., Sobczyńska, K., Terbosh, M., Trojanowska, E., Dubaj, M., Kwolek, M., & Osipowska, J. (2026) · International Journal of Innovative Technologies in Social Science · doi:10.31435/ijitss.2(50).2026.5599

Exploring the Correlation Between Patient Portal Messages and Inpatient/Outpatient Encounters: A Preliminary Investigation

Si, S., Wosik, J., & He, X. (2026) · Lecture notes in computer science · doi:10.1007/978-981-92-3492-9_11

A Safety-First Approach to Health AI

Economou-Zavlanos, N., Garwood, E. R., Saria, S., Bates, D. W., Wong, A.-K. I., Elmore, M., Weir, R., Ford, T., Gormley, K., Jackson, C., et al. (2026) · The American Journal of Bioethics · doi:10.1080/15265161.2026.2699622

Development of a scale for measuring the perception of artificial intelligence among mental health consumers

Al-Daraiseh, R., Ta’an, W., Mukattash, T. L., Al‐Hammouri, M. M., Abu-Farha, R., & Williams, B. A. (2026) · PLoS ONE · doi:10.1371/journal.pone.0354305

Perspectives of Healthcare Professionals on Using AI and Algorithmic Bias

Xu, J., & Babaian, T. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-34459-5_1

Transmission Risk Inference in Acute Care Settings: A Contact-Structured Modeling Framework for Preventability Analysis

Gonzalez, M., Ruiz, J., Torres, L., & Ruiz, E. (2022) · Journal of Health Informatics and Digital Systems · doi:10.68159/a625562331

A Predictive Resource Allocation Governance Scaffold for Hospital Operations

Huy, N. T., Minh, P. Q., & Bich, L. T. (2023) · Journal of Artificial Intelligence for Healthcare Systems · doi:10.68159/u700294682 · Cited by 1

Generative Artificial Intelligence in Healthcare: Systems Governance, Safety, and Accountability

Silva, M., & Pereira, J. D. (2025) · Journal of Artificial Intelligence for Healthcare Systems · doi:10.68159/o683295214 · Cited by 1

Artificial Neural Networks in Smart City Service Delivery: A Systematic Review of Architectures, Evidence Quality, and the Missing Link to Urban Economic Development

Almutery, Y. A., & Baeza, M. D. L. Á. (2026) · Smart Cities · doi:10.3390/smartcities9090152

Bedside data to clinical foresight: the emerging role of nurses in AI-enabled predictive care and early patient deterioration detection

Sheeba, R., Murugananandan, N., Tamilselvan, Mandal, T., Israel Jeba Prab, D., Jamunarani, P., Ilakkiya, N., Padmapriya, N., Nithin Manly, S., Golda Sahaya Rani, R., et al. (2026) · International Journal of Research in Medical Sciences · doi:10.18203/2320-6012.ijrms20263573

Susquehanna Chorale Spring Concert "Roots and Wings"

Hawkins, D. (2017)

Using DataGrid Control to Realize DataBase of Querying in VB6.0

Hu, S. (2000) · Modern Computer

Study and Two Types of Typical Usage of DataGrid Web Server Control

Hai-tao, L. (2005) · Modern Computer

Achieving Parameter of DBSCAN Based on Datagrid

Xu, Q. (2010)

PACWON: A parallelizing compiler for workstations on a network

Das, D. K., & Das, P. P. (1998) · Journal of Systems Architecture · doi:10.1016/s1383-7621(97)00078-7