AI chatbots and (mis)information in public health: impact on vulnerable communities.

BioGPT: generative pre-trained transformer for biomedical text generation and mining

Luo, R., Sun, L., Xia, Y., Qin, T., Zhang, S., Poon, H., & Liu, T.-Y. (2022) · Briefings in Bioinformatics · doi:10.1093/bib/bbac409 · Cited by 1,150 · see citing works

Infodemics and health misinformation: a systematic review of reviews

do Nascimento, I. J. B., Pizarro, A. B., Almeida, J. M., Muscat, N. A., Gonçalves, M. A., Björklund, M., & Novillo-Ortiz, D. (2022) · Bulletin of the World Health Organization · doi:10.2471/blt.21.287654 · Cited by 670 · see citing works

Misinformation: susceptibility, spread, and interventions to immunize the public

van der Linden, S. (2022) · Nature Medicine · doi:10.1038/s41591-022-01713-6 · Cited by 570 · see citing works

Ethical and social risks of harm from Language Models

Weidinger, L., Mellor, J., Rauh, M., Griffin, C., Uesato, J., Huang, P.-S., Cheng, M., Glaese, M., Balle, B., Kasirzadeh, A., et al. (2021) · arXiv · doi:10.48550/arxiv.2112.04359 · Cited by 477 · see citing works

The causes and consequences of COVID-19 misperceptions: Understanding the role of news and social media

Bridgman, A., Merkley, E., Loewen, P. J., Owen, T., Ruths, D. A., Teichmann, L., & Zhilin, O. (2020) · Harvard Kennedy School Misinformation Review · doi:10.37016/mr-2020-028 · Cited by 419 · see citing works

All the News That’s Fit to Fabricate: AI-Generated Text as a Tool of Media Misinformation

Kreps, S., McCain, R. M., & Brundage, M. (2022) · Journal of Experimental Political Science · doi:10.1017/xps.2020.37 · Cited by 360 · see citing works

Release Strategies and the Social Impacts of Language Models

Solaiman, I., Brundage, M., Clark, J., Askell, A., Herbert-Voss, A., Wu, J., Radford, A., Krueger, G., Kim, J. W., Kreps, S., et al. (2019) · arXiv · doi:10.48550/arxiv.1908.09203 · Cited by 292 · see citing works

ChatGPT: friend or foe?

Health, T. L. D. (2023) · The Lancet Digital Health · doi:10.1016/s2589-7500(23)00023-7 · Cited by 257 · see citing works

Online misinformation and vaccine hesitancy

Garett, R., & Young, S. D. (2021) · Translational Behavioral Medicine · doi:10.1093/tbm/ibab128 · Cited by 223 · see citing works

Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models

Tamkin, A., Brundage, M., Clark, J., & Ganguli, D. (2021) · arXiv · doi:10.48550/arxiv.2102.02503 · Cited by 135 · see citing works

Social-media companies must flatten the curve of misinformation

Donovan, J. (2020) · Nature · doi:10.1038/d41586-020-01107-z · Cited by 110 · see citing works

Misinformation and Disinformation: The Potential Disadvantages of Social Media in Infectious Disease and How to Combat Them

Desai, A. N., Ruidera, D., Steinbrink, J. M., Granwehr, B. P., & Lee, D. H. (2022) · Clinical Infectious Diseases · doi:10.1093/cid/ciac109 · Cited by 89 · see citing works

Truth, Lies, and Automation: How Language Models Could Change Disinformation

Center for Security and Emerging Technology, Buchanan, B., Lohn, A., Musser, M., & Sedova, K. (2021) · doi:10.51593/2021ca003 · Cited by 74 · see citing works

Public Health in the Information Age: Recognizing the Infosphere as a Social Determinant of Health

Morley, J., Cowls, J., Taddeo, M., & Floridi, L. (2020) · Journal of Medical Internet Research · doi:10.2196/19311 · Cited by 65 · see citing works

Combating Misinformation as a Core Function of Public Health

Knudsen, J., Perlman-Gabel, M., Uccelli, I. G., Jeavons, J., & Chokshi, D. A. (2023) · NEJM Catalyst · doi:10.1056/cat.22.0198 · Cited by 44 · see citing works

Usability and Credibility of a COVID-19 Vaccine Chatbot for Young Adults and Health Workers in the United States: Formative Mixed Methods Study

Weeks, R., Sangha, P., Cooper, L., Sedoc, J., White, S., Gretz, S., Toledo, A., Lahav, D., Hartner, A.-M., Martin, N., et al. (2022) · JMIR Human Factors · doi:10.2196/40533 · Cited by 30 · see citing works

Large Language Models for Chatbot Health Advice Studies: A Systematic Review

Huo, B., Boyle, A., Marfo, N., Tangamornsuksan, W., Steen, J. P., McKechnie, T., Lee, Y., Mayol, J., Antoniou, S. A., Thirunavukarasu, A. J., et al. (2025) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.57879 · Cited by 283 · see citing works

Evaluating the readability, quality, and reliability of responses generated by ChatGPT, Gemini, and Perplexity on the most commonly asked questions about Ankylosing spondylitis

Kara, M., Özduran, E., Kara, M. M., Özbek, İ. C., & Hancı, V. (2025) · PLoS ONE · doi:10.1371/journal.pone.0326351 · Cited by 61 · see citing works

Assessing the performance of AI chatbots in answering patients' common questions about low back pain

Scaff, S. P. S., dos Reis, F. J. J., Ferreira, G. E., Jacob, M. F., & Saragiotto, B. T. (2024) · Annals of the Rheumatic Diseases · doi:10.1136/ard-2024-226202 · Cited by 63 · see citing works

Implications of Large Language Models for Quality and Efficiency of Neurologic Care

Moura, L. M. V. R., Jones, D. T., Sheikh, I., Murphy, S. N., Kalfin, M., Kummer, B. R., Weathers, A. L., Grinspan, Z. M., Silsbee, H. M., Jones, L. K., et al. (2024) · Neurology · doi:10.1212/wnl.0000000000209497 · Cited by 53 · see citing works

Evaluation of validity and reliability of AI Chatbots as public sources of information on dental trauma

Johnson, A. J., Singh, T. K., Gupta, A., Sankar, H., Gill, I., Shalini, M., & Mohan, N. (2024) · Dental Traumatology · doi:10.1111/edt.13000 · Cited by 48 · see citing works

Artificial intelligence and infectious diseases: an evidence-driven conceptual framework for research, public health, and clinical practice

Odone, A., Barbati, C., Amadasi, S., Schultz, T., & Resnik, D. B. (2025) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(25)00412-8 · Cited by 39 · see citing works

Evaluation of the Performance of Artificial Intelligence Based Chatbots in Providing First Aid Information on Dental Trauma According to the ToothSOS Application

Çege, E. E., Cömert, H., Akal, N., & Ölmez, A. (2025) · Dental Traumatology · doi:10.1111/edt.13078 · Cited by 33 · see citing works

Language discrepancies in the performance of generative artificial intelligence models: an examination of infectious disease queries in English and Arabic

Sallam, M., Al-Mahzoum, K., Alshuaib, O., Alhajri, H., Alotaibi, F., Alkhurainej, D., Al-Balwah, M. Y., Barakat, M. M., & Egger, J. (2024) · BMC Infectious Diseases · doi:10.1186/s12879-024-09725-y · Cited by 36 · see citing works

A Performance Evaluation of Large Language Models in Keratoconus: A Comparative Study of ChatGPT-3.5, ChatGPT-4.0, Gemini, Copilot, Chatsonic, and Perplexity

Reyhan, A. H., Mutaf, Ç., Uzun, İ., & Yüksekyayla, F. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13216512 · Cited by 32 · see citing works

Evidence-Based Analysis of AI Chatbots in Oncology Patient Education: Implications for Trust, Perceived Realness, and Misinformation Management

McLean, A. L., & Hristidis, V. (2025) · Journal of Cancer Education · doi:10.1007/s13187-025-02592-4 · Cited by 29 · see citing works

Accuracy of a chatbot in answering questions that patients should ask before taking a new medication

Cornelison, B. R., Erstad, B. L., & Edwards, C. J. (2024) · Journal of the American Pharmacists Association · doi:10.1016/j.japh.2024.102110 · Cited by 20 · see citing works

Exploring the role of Large Language Models in haematology: A focused review of applications, benefits and limitations

Mudrik, A., Nadkarni, G. N., Efros, O., Glicksberg, B. S., Klang, E., & Soffer, S. (2024) · British Journal of Haematology · doi:10.1111/bjh.19738 · Cited by 20 · see citing works

Artificial intelligence and public health: prospects, hype and challenges

Nutbeam, D., & Milat, A. (2025) · Public Health Research & Practice · doi:10.1071/pu24001 · Cited by 18 · see citing works

Large Language Models Take on Cardiothoracic Surgery: A Comparative Analysis of the Performance of Four Models on American Board of Thoracic Surgery Exam Questions in 2023

Khalpey, Z. I., Kumar, U. A., King, N. C., Abraham, A., & Khalpey, A. (2024) · Cureus · doi:10.7759/cureus.65083 · Cited by 19 · see citing works

Dual-process theory and decision-making in large language models

Brady, O., Nulty, P., Zhang, L., Ward, T. E., & McGovern, D. P. (2025) · Nature Reviews Psychology · doi:10.1038/s44159-025-00506-1 · Cited by 16 · see citing works

Sexual health in the era of artificial intelligence: a scoping review of the literature

Chawareb, E. A., Im, B. H., Lu, S., Hammad, M. A. M., Huang, T. R., Chen, H., & Yafi, F. A. (2025) · Sexual Medicine Reviews · doi:10.1093/sxmrev/qeaf009 · Cited by 14 · see citing works

Transitioning from “Dr. Google” to “Dr. ChatGPT”: the advent of artificial intelligence chatbots

Checcucci, E., Rodler, S., Piazza, P., Porpiglia, F., & Cacciamani, G. E. (2024) · Translational Andrology and Urology · doi:10.21037/tau-23-629 · Cited by 12 · see citing works

Public attitudes and practices toward using AI chatbots for healthcare assistance: a multinational cross-sectional study

Abdelwahed, A. E., El-Nasser, M. A., Heih, O. Q., Suleiman, A. M., Khader, A. M., Ibrahim, R. A., Hamad, M. R. A. F., Radwan, E., Srour, A. M., HealthTech Alliance, et al. (2025) · BMC Health Services Research · doi:10.1186/s12913-025-13832-0 · Cited by 14 · see citing works

Large language models vs thrombosis experts: a comparative study on patient education and clinical decision-making in venous thromboembolism

Vladić, N., Nopp, S., Pabinger, I., Ageno, W., Connors, J. M., Eichinger, S., & Ay, C. (2025) · Journal of Thrombosis and Haemostasis · doi:10.1016/j.jtha.2025.09.004 · Cited by 10 · see citing works

AI chatbots for promoting healthy habits: Legal, ethical, and societal considerations

van Kolfschooten, H., Gonçalves, J., Orchard, N. A., & Figueroa, C. A. (2025) · Digital Health · doi:10.1177/20552076251390004 · Cited by 10 · see citing works

Are AI chatbots concordant with evidence-based cancer screening recommendations?

Nickel, B., Ayre, J., Marinovich, M. L., Smith, D. P., Chiam, K., Lee, C. I., Wilt, T. J., Taba, M., McCaffery, K. J., & Houssami, N. (2025) · Patient Education and Counseling · doi:10.1016/j.pec.2025.108677 · Cited by 7 · see citing works

Parental Perception on Usage of AI Chatbot to Understand Paediatric Otorhinolaryngology Condition: A Survey

Zakirah, A. Z., & Saniasiaya, J. (2025) · Indian Journal of Otolaryngology and Head & Neck Surgery · doi:10.1007/s12070-025-05451-2 · Cited by 6 · see citing works

Adolescents' Trust in Health Information in an Evolving Social Media Landscape

Freeman, J. L., Caldwell, P. H. Y., & Scott, K. M. (2025) · Academic Pediatrics · doi:10.1016/j.acap.2025.102868 · Cited by 6 · see citing works

Evaluation of information provided by artificial intelligence chatbots on extraoral maxillofacial prostheses

Özyemişci, N., Bal, B. T., Güngör, M. B., Öztürk, E. K., Canvar, A., & Nemli, S. K. (2025) · Journal of Prosthetic Dentistry · doi:10.1016/j.prosdent.2025.08.028 · Cited by 6 · see citing works

Immunization safety monitoring: addressing vaccine hesitancy and enhancing coverage in crisis-affected regions—insights from Lebanon, Ukraine, and Sudan

Nasr, R., Swaidan, E., Hachem, S., Yazbek, N., Rizk, M., Rahman, A. A., & Alami, N. H. (2025) · Therapeutic Advances in Vaccines and Immunotherapy · doi:10.1177/25151355251380220 · Cited by 6 · see citing works

Validation of a personalized AI prompt generator (NExGEN-ChatGPT) for obesity management using fuzzy Delphi method

Dan, A. S. M., Linoby, A., Kasim, S. S., Zaki, S., Sazali, R., Yusoff, Y., Nasir, Z., & Abidin, A. H. (2025) · Biology Methods and Protocols · doi:10.1093/biomethods/bpaf085 · Cited by 5 · see citing works

Comparison of a generative large language model to pharmacy student performance on therapeutics examinations

Edwards, C. J., Cornelison, B. R., & Erstad, B. L. (2025) · Currents in Pharmacy Teaching and Learning · doi:10.1016/j.cptl.2025.102394 · Cited by 5 · see citing works

Artificial Intelligence Chatbots Taking American Board of Endodontics Simulated Oral Board Examination

Jalali, P., Wang, F., Ourang, S. A., Zahedrozegar, S., Mohammad‐Rahimi, H., & Nosrat, A. (2026) · Journal of Endodontics · doi:10.1016/j.joen.2026.02.014 · Cited by 4 · see citing works

A comparative analysis of readability, quality, and reliability in large language model outputs pertaining to knee osteoarthritis queries

Maraşlı, E., Ozduran, E., & Hancı, V. (2026) · PLoS ONE · doi:10.1371/journal.pone.0353355 · Cited by 4 · see citing works

Artificial Intelligence in Oncology

Jeziorski, K., & Olszewski, R. (2024) · Applied Sciences · doi:10.3390/app15010269 · Cited by 4 · see citing works

Is Readability a Proxy for Reliability? A Qualitative Evaluation of ChatGPT‐4.0 in Orthopaedic Trauma Communication

Atahan, M. O., Üner, Ç., Aydemir, M., Uzun, M. F., Yalın, M., & Gölgelioğlu, F. (2025) · Journal of Evaluation in Clinical Practice · doi:10.1111/jep.70238 · Cited by 3 · see citing works

Performance of large language models in reporting oral health concerns and side effects in head and neck cancer: a comparative study

Rast, J., Wiegand, S., Biermann, J., Wiegand, A., & Marschner, F. (2025) · Journal of Cancer Research and Clinical Oncology · doi:10.1007/s00432-025-06400-w · Cited by 3 · see citing works

Persuasive chatbot-based interventions for depression: a list of recommendations for improving reporting standards

Denecke, K., Rivera-Romero, O., Wynn, R., & Gabarrón, E. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1429304 · Cited by 2 · see citing works

Comparative evaluation of five AI chatbots in pediatric ophthalmology: A multidomain expert-based appraisal”

Dhiman, S., Mishra, C., Kaur, S., Dutta, P., Thacker, P. G., Maniar, A., Kenia, R. V., & Balakrishnan, L. (2025) · AJO International · doi:10.1016/j.ajoint.2025.100188 · Cited by 2 · see citing works

Detection of Medical Misinformation in Hemangioma Patient Education: Comparative Study of ChatGPT-4o and DeepSeek-R1 Large Language Models

Wang, G., Zhang, Y., Wang, W., Zhu, Y., Lu, W., Wang, C., Bi, H., & Yang, X. (2025) · JMIR AI · doi:10.2196/76372 · Cited by 2 · see citing works

Evaluating the Effectiveness of ChatGPT and Google Gemini in Providing Lung Cancer Screening Recommendations for Vulnerable Communities

Washington, C. J., Divaker, J., Gould, M. K., Silvestri, G. A., Crane, T. E., a, B. H., Karanth, S. D., & Braithwaite, D. (2025) · CHEST Pulmonary · doi:10.1016/j.chpulm.2025.100167 · Cited by 2 · see citing works

Promoting informed health choices: the long and winding road

Oxman, A. D., Chalmers, I., & Glasziou, P. (2025) · Journal of the Royal Society of Medicine · doi:10.1177/01410768251384317 · Cited by 2 · see citing works

The Scope and Limitations of Extant Research into ChatGPT as a Tool for Patient Education: Systematic ReviewPreprint

Dale, R., Cheng, M., Pines, K., & Currie, M. (2025) · medRxiv · doi:10.1101/2025.05.20.25328009 · Cited by 1 · see citing works

Using Predictive Models and AI for AKI Research

Rajagopal, M., Chan, L., & Nadkarni, G. N. (2025) · Seminars in Nephrology · doi:10.1016/j.semnephrol.2025.151673 · Cited by 1 · see citing works

Comparative Evaluation of ChatGPT and Gemini in Answering Questions on Vaccines and Immunization

Sezen, A. İ., Özdemir, M. Ş., & Özdemir, Y. E. (2025) · Genel Tıp Dergisi · doi:10.54005/geneltip.1735723 · Cited by 1 · see citing works

Development of a Conceptual Framework of Health Misinformation During the COVID-19 Pandemic: Systematic Review of Reviews

Álvarez‐Gálvez, J., Carretero-Bravo, J., Lagares, C., Ramos-Fiol, B., & Ortega‐Martin, E. (2025) · JMIR Public Health and Surveillance · doi:10.2196/62693 · Cited by 1 · see citing works

Evaluating patient-facing eye disease information: ChatGPT-5 vs. Pfizer health answers

Kaganovski, A., Kasi, A., Grinberg, A. R., Kozlov, M., Patel, R., Kwon, M., Lai, C., & Dersu, I. (2025) · AJO International · doi:10.1016/j.ajoint.2025.100215 · Cited by 1 · see citing works

How Accurate Are the Responses of 4 AI Chatbots to Orthognathic Surgery Questions?

Hati̇poğlu, Ş., Özkan, E. Ç., Taşova, F. A. K., & Zi̇nci̇r, Ö. Ö. (2026) · Journal of Craniofacial Surgery · doi:10.1097/scs.0000000000012367 · Cited by 1 · see citing works

AI in Emergency Management

Soujaa, I., & Tao, J. (2026) · Springer eBooks · doi:10.1007/978-3-032-12344-2_8 · Cited by 1 · see citing works

Evaluating the Performance of AI Text Detectors, Few-Shot and Chain-of-Thought Prompting Using DeepSeek-Generated Text

Alshammari, H., & Rao, P. (2025) · International Workshop on Artificial Intelligence and Education (WAIE) · doi:10.1109/waie67422.2025.11381091 · Cited by 1 · see citing works

Use of the Consumer Health Literacy Quotient to Quantify and Explore Self-Care Readiness Among Consumers in Four Asia-Pacific Countries

Garg, V., Alcasid, Z., Mendoza, K., Lee, H., Loo, Y. X., Nong, A., Toh, G. W., & Tan, S. (2024) · Healthcare · doi:10.3390/healthcare12222318 · Cited by 1 · see citing works

Assessing the Quality of a Personalized Prompt Generator and AI-Chatbot (ChatGPT) for Dietary and Exercise Planning in Obese Adults Using the Fuzzy Delphi MethodPreprint

Dan, A. S. M., Linoby, A., Kasim, S. S., Zaki, S., Sazali, R., Yusoff, Y., Nasir, Z., & Abidin, A. H. (2025) · medRxiv · doi:10.1101/2025.08.27.25334528 · Cited by 1 · see citing works

Assessing the Accuracy of Artificial Intelligence Chatbots in the Diagnosis and Management of Meniscal Tears

DeFrancisis, J. S., Richa, P., Oar, D. P., Henwood, L., Buchman, Z. J., & Grewal, G. (2025) · Cureus · doi:10.7759/cureus.84124

Stigma Reduces AI Aversion: A Tradeoff between Judgment and Misinformation ConcernsPreprint

Bojd, B., Garimella, A., & Yin, H. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5243372 · Cited by 1 · see citing works

Large Language Models in Metabolic and Diabetes Healthcare Information (Preprint)Preprint

Wu, G., Khan, O., Paliath-Pathiyal, H., Pan, E., Toram, R., & Toram, V. V. (2025) · doi:10.2196/preprints.79079

Artificial intelligence in urban health epidemic management

Santra, D. (2025) · Advances in computers · doi:10.1016/bs.adcom.2025.10.001

Chatbots

Shrivastav, A., Sankathala, S., Chaturvedi, K., Saraf, A. H., Patre, K., & Das, S. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-8011-7.ch004

External Intelligence: Oracles, Divination and Animism, and the Use of LLMs/Generative AI

Fischer, M., Applin, S. A., & Ravula, S. (2025) · Emerald Group Publishing Limited eBooks · doi:10.1108/s0163-239620250000061004 · Cited by 1 · see citing works

Ongoing Development and Evaluation of Artificial Intelligence-Based Interventions to Promote Children’s Physical Activity

Zhou, P., Lau, P. W. C., Lü, N., & Ma, M. (2026) · Springer eBooks · doi:10.1007/978-981-97-1788-0_59-1 · Cited by 1 · see citing works

Empowering dialysis patients with human-computer interactions: Revolutionizing safety and experience with AI, mobile tech, and wearables

Hueso, M., Alvarez, R., Saggion, H., & Vellido, A. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-26466-5.00014-3

Current practices and perceptions of ChatGPT in gynecologic oncology: results from a cross-sectional questionnaire (TRSGO-AI-001)

Yalçin, I., Taşkın, S., Sahin, G., Köse, F., Ortaç, F., & Bilir, E. (2026) · BMC Medical Education · doi:10.1186/s12909-026-09192-w

The epidemiology of artificial intelligence

Parikh, H., McCormick, T. H., Johnson, E. K., Hickey, L., Ranney, M. L., & Mukherjee, B. (2026) · Nature Health · doi:10.1038/s44360-026-00188-w

When the Lunchbox Meets the Algorithm: AI’s Next Chapter in Children’s Nutrition Education

Lovan, P., Hasnin, S., Jeune, S. C., Larsen, L., & Fredericks, L. (2026) · Journal of Nutrition Education and Behavior · doi:10.1016/j.jneb.2026.03.005

Engineering evaluation of AI healthcare applications: Review mining, game-theoretic hybrid weight fusion, and GRA–TOPSIS-based alternative ranking

Ouyang, W., Fan, Z., Han, Y. H., Wang, Z., Chen, Y., He, Y., & Du, H. (2026) · Results in Engineering · doi:10.1016/j.rineng.2026.111026

Designing a low-code course for scientific and digital literacy in middle school

Aguiar, M., Brito, M. A., Araújo, S., Varajão, J., & Santos, C. (2026) · The Journal of Educational Research · doi:10.1080/00220671.2026.2674666

DIGITAL HEALTH LITERACY AMONG MEMBERS OF UNIVERSITY COMMUNITIES IN EKITI STATE

Adeyele, T. K., & Ogunsile, S. E. (2026) · Journal of the Nigeria Association of Sports Science and Medicine · doi:10.66986/jnassm.2026.1901.34-j

Ongoing Development and Evaluation of Artificial Intelligence-Based Interventions to Promote Children’s Physical Activity

Zhou, P., Lau, P. W. C., Lu, N., & Ma, M. (2026) · Springer eBooks · doi:10.1007/978-981-95-2175-3_59

From Symptom Control to Precision Supportive Oncology: Integrating Artificial Intelligence in Supportive Oncology for Gastrointestinal Cancers

Krishnan, A., Davis, M. P., & Kadakia, K. C. (2026) · Current Oncology Reports · doi:10.1007/s11912-026-01810-6

A harm-reduction framework for responsible AI in public health research

Hughes, M. C. (2026) · npj Digital Public Health · doi:10.1038/s44482-026-00031-9

Assessing the performance of AI chatbots in answering common questions about Patellofemoral Pain Syndrome

Zhang, L., Fan, S., Arunkumar, Y., Noor, S., & Bi, Z. (2026) · Musculoskeletal Science and Practice · doi:10.1016/j.msksp.2026.103636

Veritas amid Post-truth: Catholic Ethics and the Moral Conditions of Philippine Public Health

Cabañeros, J. S. (2026) · Journal of Religion and Health · doi:10.1007/s10943-026-02779-z

Feasibility of AI-Enabled Chatbots for Pre-consultation in HIV Care in Northern Nigeria

Iliyasu, Z., Mubarak, A., Iliyasu, B. Z., Umar, A. A., Abdullahi, H. M., Tsiga-Ahmed, F. I., Kwaku, A. A., Amole, T., Salihu, H. M., & Aliyu, M. H. (2026) · International Journal of Behavioral Medicine · doi:10.1007/s12529-026-10488-w

The potential of Agentic AI for patient navigation in cancer care

Tartaro, M. A., Witt, E. E., & Molina, G. (2026) · The American Journal of Surgery · doi:10.1016/j.amjsurg.2026.117249

Comparative evaluation of ChatGPT and gemini responses to patient-oriented questions on breast cancer

Yılmaz, Y., Acar, N., Atahan, K., & Karaalı, C. (2026) · PLoS ONE · doi:10.1371/journal.pone.0358325

Potential Use of AI Chatbots by Patients With Bowel Tumors: Opportunities and Implications for Low- and Middle-Income Countries

AlSamhori, J. F., AlSamhori, A. R. F., Amourah, R. M., Aldweik, H., AlSamhori, A. F., Holy, L. M., Zakraoui, R., Alomari, S. H., & Shahait, A. D. (2026) · Cureus · doi:10.7759/cureus.116502

Integrating AI and nanotechnology for personalized medicine: Technical advancements and challenges

Chow, J. C. L. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-45321-2.00013-8

ChatGPT Health and ChatGPT Plus in Urogynecology: A Blinded Comparison of Response Quality, Guideline Concordance, and Safety

Tayarer, A. (2026) · International Urogynecology Journal · doi:10.1007/s00192-026-06893-0

Generative AI and health misinformation: a lifecycle-based communication framework

Nan, X. (2026) · Frontiers in Medicine · doi:10.3389/fmed.2026.1801842

Beyond social media: public health governance of artificial intelligence-based chatbots used by adolescents

Cali, A., & van Kolfschooten, H. (2026) · European Journal of Public Health · doi:10.1093/eurpub/ckag079 · Cited by 2 · see citing works

AI conversational agents as population health infrastructure: promise, peril, and the case for public-interest design

Rajan, M. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1961045

The generative illusion: how ChatGPT-like AI tools could reinforce misinformation and mistrust in public health communication

Joseph, J., Jose, B., & Jose, J. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1683498 · Cited by 21 · see citing works

ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health

De Angelis, L., Baglivo, F., Arzilli, G., Privitera, G. P., Ferragina, P., Tozzi, A. E., & Rizzo, C. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1166120 · Cited by 708 · see citing works

Algorithmic health: AI chatbots, climate-linked disease communication, and governance conditions for trust in public health systems - a comparative documentary study of Africa and the Global North

Asak, M. O. (2026) · Health & New Media Research · doi:10.22720/hnmr.2026.00150