Questions for Artificial Intelligence in Health Care

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

Gulshan, V., Peng, L., Coram, M., Stumpe, M. C., Wu, D., Narayanaswamy, A., Venugopalan, S., Widner, K., Madams, T., Cuadros, J., et al. (2016) · JAMA · doi:10.1001/jama.2016.17216 · Cited by 7,697

Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data

Gianfrancesco, M. A., Tamang, S., Yazdany, J., & Schmajuk, G. (2018) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2018.3763 · Cited by 1,395

Fully Automated Echocardiogram Interpretation in Clinical Practice: Feasibility and Diagnostic Accuracy

Zhang, J., Gajjala, S., Agrawal, P., Tison, G. H., Hallock, L. A., Beussink-Nelson, L., Lassen, M. H., Fan, E., Aras, M. A., Jordan, C., et al. (2018) · Circulation · doi:10.1161/circulationaha.118.034338 · Cited by 1,006

What This Computer Needs Is a Physician: Humanism and Artificial Intelligence

Verghese, A., Shah, N. H., & Harrington, R. A. (2018) · JAMA · doi:10.1001/jama.2017.19198 · Cited by 468

Clinical Implications and Challenges of Artificial Intelligence and Deep Learning

Stead, W. W. (2018) · JAMA · doi:10.1001/jama.2018.11029 · Cited by 250

Implementation of Artificial Intelligence in Medicine

Chang, A. C. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-823337-5.00009-3 · Cited by 5

How artificial intelligence can help us ‘Choose Wisely’

Mehta, N., Born, K. B., & Fine, B. (2021) · Bioelectronic Medicine · doi:10.1186/s42234-021-00066-8 · Cited by 5

Leveraging AI and Blockchain for Streamlining Healthcare Payments

Leung, R. (2023) · Blockchain and Internet of Things Conference (BIOTC) · doi:10.1145/3625078.3625086 · Cited by 5

Synthetic Biology: Fostering the Cyber-biological Revolution

(2023) · Royal Society of Chemistry eBooks · doi:10.1039/9781839166037-00196 · Cited by 4

Automated oxygen control in the preterm infant: automation yes, but we need intelligence

Dargaville, P. A., Franz, A. R., Poets, C. F., & Gale, T. J. (2019) · Archives of Disease in Childhood Fetal & Neonatal · doi:10.1136/archdischild-2018-316371 · Cited by 5

AI Life Cycle and Human Rights

Martina, Š., Luboš, K., & Drchal, J. (2023) · Oxford University Press eBooks · doi:10.1093/law/9780192882486.003.0002 · Cited by 4

Bibliometric exploration of artificial intelligence applications in healthcare: trends and future directions

Sharma, A., & Sharma, R. (2025) · Journal of Public Health and Development · doi:10.55131/jphd/2025/230220 · Cited by 7

Towards Uncertainty Aware Task Delegation and Human-AI Collaborative Decision-Making

Lee, M. H., & Tok, M. Z. Y. (2025) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3715275.3732155 · Cited by 8

Personalized Treatment and Patient Care Using AI

Anju, A., Kanthavel, R., & S, K. V. V. (2024) · Advances in wireless technologies and telecommunication book series · doi:10.4018/979-8-3693-6552-6.ch013 · Cited by 4

From Diagnosis to Treatment: The Comprehensive Integration of Artificial Intelligence in Modern Dental Care

Al‐Raeei, M. (2025) · Current trends in dentistry. · doi:10.4103/ctd.ctd_4_25 · Cited by 4

AI in Clinical Decision Support Systems: Promising Applications and Strategies for Managing Data Challenges

Daly, J. E., Delen, D., Han, Z., Smith, R. J., Honerlaw, J. P., Cho, K., Bennett, B., & Sippel, J. L. (2026) · Journal of Medical Internet Research · doi:10.2196/71532 · Cited by 5

Developing and evaluating multimodal large language model for orthopantomography analysis to support clinical dentistry

Liu, X., Hung, K. F., Yu, W., Ng, R. A. W. T., Li, W., Niu, T., Chen, H., & Yuan, Y. (2026) · Cell Reports Medicine · doi:10.1016/j.xcrm.2026.102652 · Cited by 4

Introduction

Quintavalla, A., & Temperman, J. (2023) · Oxford University Press eBooks · doi:10.1093/law/9780192882486.003.0001 · Cited by 4

ASSESSING THE ROLE OF ARTIFICIAL INTELLIGENCE IN THE DESIGN OF DRUG DELIVERY SYSTEMS

Waheed, A., Ashwin, K., & Hima Bindu, M. (2020) · International Journal of Medical Science and Diagnosis Research · doi:10.32553/ijmsdr.v4i12.725 · Cited by 4

Artificial Intelligence for Healthcare

Jacobson, S. H., & Jokela, J. A. (2022) · Cambridge University Press eBooks · doi:10.1017/9781108872188 · Cited by 4

Decision-Making Framework for Medical Equipment Maintenance and Replacement in Private Hospitals

VAMED Engineering (M) Sdn Bhd, P. F., Salim, S. H., & Salim, S. A. (2023) · International Journal of Sustainable Construction Engineering Technology · doi:10.30880/ijscet.2023.14.03.028 · Cited by 5

Artificial Intelligence and the Right to a Healthy Environment

Quintavalla, A. (2023) · Oxford University Press eBooks · doi:10.1093/law/9780192882486.003.0028 · Cited by 4

How does Artificial Intelligence work?

Collecchia, G., & Gobbi, R. D. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-14054-9.00008-9 · Cited by 4

Artificial Intelligence Human Rights Impact Assessment

Ortalda, A., & Hert, P. D. (2023) · Oxford University Press eBooks · doi:10.1093/law/9780192882486.003.0035 · Cited by 3

Artificial Intelligence and Data Analytics

Laukyte, M. (2023) · Oxford University Press eBooks · doi:10.1093/law/9780192882486.003.0019 · Cited by 5

Artificial Intelligence and the Right to Privacy

Zornetta, A., & Cofone, I. (2023) · Oxford University Press eBooks · doi:10.1093/law/9780192882486.003.0008 · Cited by 3

Gen-CNN: a framework for the automatic generation of CNNs for image classification

García-Aguirre, R., Navarro-López, E. M., & Torres‐Treviño, L. (2024) · Neural Computing and Applications · doi:10.1007/s00521-024-10398-6 · Cited by 3

Health System Purchasing Professionals’ Approaches to Considering Equity in Procurement

Hauschildt, K. E., Bernstein, T., Crews, D. C., Drabo, E. F., Ferryman, K., Jackson, J. W., Valley, T. S., Levy, J., & Iwashyna, T. J. (2024) · CHEST Journal · doi:10.1016/j.chest.2024.12.016 · Cited by 3

The Lifecycle of Electronic Health Record Data in HIV-Related Big Data Studies: Qualitative Study of Bias Instances and Potential Opportunities for Minimization

N’Diaye, A., Qiao, S., Garrett, C. M., Khushf, G., Zhang, J., Li, X., & Olatosi, B. (2025) · Journal of Medical Internet Research · doi:10.2196/71388 · Cited by 4

The Role of AI Anxiety and Attitudes Shaping Healthcare Perceptions among Jordanian Children

Al-Smadi, S., Al-Smadi, F., Alzayyat, A. A., & Al-Shawabkeh, J. D. (2025) · The Open Nursing Journal · doi:10.2174/0118744346417980250718070018 · Cited by 3

Risultati di esami di laboratorio per intelligenza artificiale e "machine learning"

Pradella, M. (2022) · La Rivista Italiana della Medicina di Laboratorio - Italian Journal of Laboratory Medicine · doi:10.23736/s1825-859x.22.00132-3 · Cited by 3

Kidney allocation rules simulator

Lima, B., Henriques, T. S., & Alves, H. (2022) · Transplant Immunology · doi:10.1016/j.trim.2022.101578 · Cited by 3

Study design of deep learning based automatic detection of cerebrovascular diseases on medical imaging: a position paper from Chinese Association of Radiologists

Zhang, L. J., Shi, Z., Chen, M., Chen, Y., Cheng, J., Li, F., Hong, N., Jia, W., Jiang, G., Ju, S., et al. (2022) · Intelligent Medicine · doi:10.1016/j.imed.2022.07.001 · Cited by 4

Greece 2.0, Health Economics and Outcome Research and the Rise of Artificial Intelligence: Another Missed Opportunity or it's Time for Brilliance?

Fylatos, D., Efthymiou, I.-P., Sidiropoulos, S., Emmanouil-Kalos, A., & Vozikis, A. (2022) · Journal of Politics and Ethics in New Technologies and AI · doi:10.12681/jpentai.31452 · Cited by 3

Conclusion

Quintavalla, A., & Temperman, J. (2023) · Oxford University Press eBooks · doi:10.1093/law/9780192882486.003.0037 · Cited by 3

Artificial Intelligence and Women’s Rights

Gagliardi, M. P. (2023) · Oxford University Press eBooks · doi:10.1093/law/9780192882486.003.0016 · Cited by 3

Impact of Large Language Models in the Healthcare Industry: SOAR Analyses

Abu-ain, W. A. K., & Abuain, W. A. (2024) · International Conference on Creative Communication and Innovative Technology (ICCIT) · doi:10.1109/iccit62134.2024.10701228 · Cited by 3

The immunoglobulin γ marker 17 allotype and KIR/HLA genes prevent the development of chronic hepatitis B in humans

Bona, D. D., Pandey, J. P., Aiello, A., Bilancia, M., Candore, G., Caruso, C., Colomba, C., Duro, G., Ligotti, M. E., Macchia, L., et al. (2019) · Immunology · doi:10.1111/imm.13133 · Cited by 3

Artificial Intelligence (AI) and its application on Human HealthPreprint

Jawaid, S. A. (2023) · Preprints.org · doi:10.20944/preprints202303.0246.v1 · Cited by 2

An evaluation of the reliability and readability of large language models in the dissemination of traumatic brain injury information

Lee, M. J., Cadiente, A., Chen, J., Zhou, Y., & Greenwald, B. D. (2025) · Digital Health · doi:10.1177/20552076251350760 · Cited by 2

Comparative analysis of accuracy and completeness in standardized database generation for complex multilingual lung cancer pathological reports: large language model-based assisted diagnosis system vs. DeepSeek, GPT-3.5, and healthcare professionals with varied professional titles, with task load variation assessment among medical staff

Hang, H., Yang, L., Wang, Z., Lin, Z., Li, P., Zhu, J., Liu, R., Pu, S., & Cheng, X. (2025) · Frontiers in Medicine · doi:10.3389/fmed.2025.1618858 · Cited by 2

Artificial Intelligence in medical research and publishing: Progress, risks, and future perspectives

Vadner, D. J., Brown, A. N., & Gold, M. H. (2026) · La Presse Médicale · doi:10.1016/j.lpm.2026.104371 · Cited by 2

Clinical Safety and Reliability of Large Language Models in Answering Hemorrhoid-Related Patient Questions: A Comparative Study of ChatGPT, Gemini, and DeepSeek

Bilgiç, E., & Karacan, E. (2026) · Healthcare · doi:10.3390/healthcare14131909 · Cited by 3

Enhancing Islamic Banking and Finance in Southeast Asia Through the Application of Artificial Intelligence

Zain, N. R. M., Hassan, R. B., & Ismail, A. (2019) · Advances in finance, accounting, and economics book series · doi:10.4018/978-1-7998-0039-2.ch003 · Cited by 5

Era of Artificial Intelligence and Its Implementation in Controlling Side Effects during Healthcare Practices

Jawaid, S. A. (2024) · Journal of Advances in Artificial Intelligence · doi:10.18178/jaai.2024.2.1.47-59 · Cited by 1

A Bibliographic Dataset of Health Artificial Intelligence Research

Shi, X., Yin, D., Bai, Y., Zhao, W., Guo, X. Q., Sun, H., Cui, D., & Du, J. (2024) · Health Data Science · doi:10.34133/hds.0125 · Cited by 2

Real-Life Experimentation with Artificial Intelligence

Elizaveta, G., & Evert, S. (2023) · Oxford University Press eBooks · doi:10.1093/law/9780192882486.003.0036 · Cited by 4

Assessment of the effectiveness of artificial intelligence-based oral screening solution in the diagnosis of dental calculus, stains, and dental caries (Logy AI oral screening solution)

Rathinavelu, P. K., Tiwari, N., Panchbhai, A., Chellappa, L. R., Suresh, S., & Pandiyan, I. (2024) · International Journal of Advances in Medicine · doi:10.18203/2349-3933.ijam20241627 · Cited by 2

Toward an artificial intelligence code of conduct for health and healthcare: implications for the biomedical informatics community

Payne, P., Johnson, K. B., Maddox, T. M., Embí, P. J., Mandl, K. D., McGraw, D., Saria, S., & Adams, L. L. (2024) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocae306 · Cited by 3

AI-enabled IoMT: transforming healthcare in smart hospitals

Alsaeed, N., & Nadeem, F. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-34226-4.00024-1 · Cited by 3

Artificial Intelligence in Clinical Toxicology

Sinha, M., Praveen, G. B., Sachan, D. K., & Parthasarathi, R. (2022) · Springer eBooks · doi:10.1007/978-3-030-64573-1_137 · Cited by 2

Artificial Intelligence and Public Health

Jacobson, S. H., & Jokela, J. A. (2022) · Cambridge University Press eBooks · doi:10.1017/9781108872188.003 · Cited by 2

El papel emergente de la inteligencia artificial en la oncología oral

Aggarwal, D., & Shetty, D. C. (2022) · Acta Bioclínica · doi:10.53766/acbio/2022.12.24.05 · Cited by 2

User Embedding Long Short-Term Model Based Fecundity Prediction Model Using Proposed Fecundity Dataset

Shehu, M. A., Abdullahi, M. B., Mohammed, A. D., & Abisoye, O. A. (2023) · East African Journal of Interdisciplinary Studies · doi:10.37284/eajis.6.1.1099 · Cited by 2

Identification and prediction of ALS subgroups using machine learningPreprint

Faghri, F., Brunn, F., Dadu, A., PARALS, ERRALS, Zucchi, E., Martinelli, I., Mazzini, L., Vasta, R., Canosa, A., et al. (2021) · medRxiv · doi:10.1101/2021.04.02.21254844 · Cited by 2

Partial advances in the diagnosis and treatment of gastrointestinal cancer

Ju, M., Gao, Z., Li, K., & Wang, Z. (2022) · Chronic Diseases and Translational Medicine · doi:10.1002/cdt3.36 · Cited by 1

Training and specialisation in early intervention: use of technological resources and artificial intelligence

Manzanares, M. C. S., Martín, M. Á. M., Llamazares, M. D. C. E., Huerta, J. H. O., Santamaría-Vázquez, M., Val, E. M., Sánchez, R. M., González, Á. A., Díez-Pastor, J.-F., & Arribas, S. R. (2024) · Universidad de Burgos eBooks · doi:10.36443/9788418465819 · Cited by 2

Formación y especialización en atención temprana: uso de recursos tecnológicos y de inteligencia artificial

Manzanares, M. C. S., Martín, M. Á. M., Llamazares, M. D. C. E., Huerta, J. H. O., Santamaría-Vázquez, M., Val, E. M., Sánchez, R. M., González, Á. A., Díez-Pastor, J.-F., & Arribas, S. R. (2024) · Universidad de Burgos eBooks · doi:10.36443/9788418465802 · Cited by 3

Artificial Intelligence and the Right to Health

Echeverría, E. S. (2023) · Oxford University Press eBooks · doi:10.1093/law/9780192882486.003.0026 · Cited by 1

Privacy, Political Participation, and Dissent

Katrak, M., & Ishita, C. (2023) · Oxford University Press eBooks · doi:10.1093/law/9780192882486.003.0010 · Cited by 1

The Rights to Privacy and Data Protection and Facial Recognition Technology in the Global North

González, N. M. (2023) · Oxford University Press eBooks · doi:10.1093/law/9780192882486.003.0009 · Cited by 1

Aadhaar Card for Digitalization of the Healthcare System

Garg, A., Verma, A., Kumar, B., Rathor, M., Singh, M. K., & Chauan, R. (2024) · Research Journal of Engineering and Technology · doi:10.52711/2321-581x.2024.00001 · Cited by 1

Tıp ve diş hekimliği fakültesi öğrencilerinin yapay zekaya yönelik genel tutumu ve yapay zeka okuryazarlık seviyelerinin belirlenmesi

Kaban, Y. E., Aygün, D., & Til, A. (2025) · Tıp Eğitimi Dünyası · doi:10.25282/ted.1625511 · Cited by 3

Healthcare Professionals’ Opinions on the Role of Artificial Intelligence (AI) in Preventing Cancer

Maria, & Periyasamy, C. (2025) · Springer eBooks · doi:10.1007/978-3-031-94302-7_36 · Cited by 1

Comprehensive narrative review of artificial intelligence applications in oral health: from diagnosis to treatment

Morsali, A., Aminia, M., Zarabadi, M. S., Zarabadipour, M., & Mokhlesi, A. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.130150 · Cited by 2

Digital Health Systems in Integrated Care

Gray, C. S., Gagnon, D., Guldemond, N., & Kenealy, T. W. (2025) · Springer eBooks · doi:10.1007/978-3-031-96286-8_28 · Cited by 1

Validation of a Patient Prioritization Tool: Addressing Decision-Support Tools’ Development in Complex Systems

Pécora, A. T. L., Lamontagne, M., Ruiz, A. B., Frega, J. R., Déry, J., Pécora, J. E., & de FRAGA, R. (2025) · Systems · doi:10.3390/systems13121109 · Cited by 1

Research progress of deep learning based on magnetic resonance imaging in meningioma

Gui, Y., & Zhang, J. (2025) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-025-01307-6 · Cited by 1

Positive and negative perception of artificial intelligence in healthcare: Psychometric adaptation and validation of the Turkish version

Potas, N., ERKILIÇ, C. E., Caner, S., & Fritsch, S. J. (2026) · Work · doi:10.1177/10519815261429412 · Cited by 1

Predictive Value of Machine Learning for Poststroke Mortality Risk: Systematic Review and Meta-Analysis

Chen, Y., Ou, Z., Deng, Y., Luo, A., Li, X., Yang, Y., Yang, Q., Wu, X., & Zhou, M. (2026) · Journal of Medical Internet Research · doi:10.2196/83821 · Cited by 3

Digital upskilling of the health workforce – A university perspective

Cheong, B. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-44073-1.00032-8 · Cited by 1

Computational Analysis of Online Hate Content using Cognitive -AI

Chetty, N., Alathur, S., Andrews, D., & Kumar, V. (2021) · International Conference on Computing, Communication and Security (ICCCS) · doi:10.1109/icccs51487.2021.9776339 · Cited by 1

Digital interventions for mental health

Hariman, K. W. (2022) · Oxford University Press eBooks · doi:10.1093/med/9780198861478.003.0055 · Cited by 1

Advances in Oral Cancer Diagnosis: is AI the Magic Tool?

Chater, A. (2023) · ES Journal of Dental Sciences · doi:10.59152/esjds/1021 · Cited by 1

Advances in Oral Cancer Diagnosis: Is AI the Magic Tool?

Chater, A. (2023) · Advances in Cancer Research & Clinical Imaging · doi:10.33552/acrci.2023.03.000574 · Cited by 1

Artificial Intelligence and Religious Freedom

Temperman, J. (2023) · Oxford University Press eBooks · doi:10.1093/law/9780192882486.003.0004 · Cited by 3

Artificial Intelligence and the Right to Liberty and Security

Golunova, V. (2023) · Oxford University Press eBooks · doi:10.1093/law/9780192882486.003.0003 · Cited by 1

Artificial Intelligence and Human Rights

Prifti, K., Quintavalla, A., & Temperman, J. (2023) · Oxford University Press eBooks · doi:10.1093/law/9780192882486.003.0029 · Cited by 1

Artificial Intelligence and Consumer Protection Rights

Li, S., Schütte, B., & Majewski, L. (2023) · Oxford University Press eBooks · doi:10.1093/law/9780192882486.003.0027 · Cited by 1

Smart Cities, Artificial Intelligence, and Public Law

Ranchordás, S. (2023) · Oxford University Press eBooks · doi:10.1093/law/9780192882486.003.0033 · Cited by 1

Artificial Intelligence Challenges in Higher Education

(2024) · Advances in higher education and professional development book series · doi:10.4018/979-8-3693-4074-5.ch004 · Cited by 1

The Growing Application Potential of Machine Learning in Healthcare Systems of Modernity

França, R. P., Bonacin, R., & Monteiro, A. C. B. (2024) · Springer eBooks · doi:10.1007/978-3-031-72676-7_1 · Cited by 1

AI and Health

Shaheen, R., & Salim, H. (2024) · Advances in healthcare information systems and administration book series · doi:10.4018/979-8-3693-7051-3.ch010 · Cited by 2

The power of discernment

Timmons, S. D. (2019) · Journal of neurosurgery · doi:10.3171/2019.8.jns192293 · Cited by 1

Artificial Intelligence & Its Contemporary Applications in Dentistry

Bansod, A. V., & Pisulkar, S. K. (2021) · Turkish Journal of Computer and Mathematics Education (TURCOMAT) · Cited by 1

Improving New Zealand Health Outcomes with Artificial Intelligence

Sehgal, T., & Cherrington, M. (2021) · Scope Contemporary Research Topics (Health and Wellbeing) · doi:10.34074/scop.3006005 · Cited by 1

Future perspectives for physical education, sports and fitness.

Dantas, E. H. M., Bispo, M. D. C., Dantas, K. B. A., dos Santos, C. K. A., de Jesus, E. V., da Costa, L. F. G. R., Neto, P. A. D. F., & Miranda, D. T. D. S. Z. (2021) · South Florida Journal of Health · doi:10.46981/sfjhv2n2-007 · Cited by 1

Smart Health Care by Harnessing the Internet of Things (IoT): Applications, Challenges, and Future Aspects

Aishwarya, C. V. S., Raj, J. J. J., Mandal, S. K., Reddy, C. N., & Mishra, B. (2022) · EAI/Springer Innovations in Communication and Computing · doi:10.1007/978-3-031-04524-0_3 · Cited by 2

Artificial Intelligence and Gender-Based Discrimination

Lütz, F. (2023) · Oxford University Press eBooks · doi:10.1093/law/9780192882486.003.0014 · Cited by 1

A new direction to promote the implementation of artificial intelligence in natural clinical settingsPreprint

Huang, Y., Zhang, Z., Wang, N., Li, N., Du, M., Hao, T., & Zhan, J. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1905.02940 · Cited by 1

OpenClinicalAI: enabling AI to diagnose diseases in real-world clinical settingsPreprint

Huang, Y., Wang, N., Tang, S., Ma, L., Hao, T., Jiang, Z., Zhang, F., Kang, G., Miao, X., Guan, X., et al. (2021) · medRxiv · doi:10.1101/2021.09.08.21263249 · Cited by 2

El voto vigilado. Influencia y control electoral en las hermandades de Huelva durante el Antiguo Régimen

Ródenas, M. J. D. L. (2019) · Hispania Sacra · doi:10.3989/hs.2019.037

The Confused and Bewildered Hospital: Adverse Event Discovery, Pay-for-Performance, and Big Data Tools as Halfway Technologies

Furrow, B. R. (2020) · American Journal of Law & Medicine · doi:10.1177/0098858820933496

Personalized treatment strategies for depression

van Bronswijk, S. C. (2020) · Research Publications (Maastricht University) · doi:10.26481/dis.20201211sb

Future perspectives for physical education, sports and fitness

dos Santos, C. K. A., Miranda, D. T. D. S. Z., Dantas, E. H. M., de Jesus, E. V., Dantas, K. B. A., da Costa, L. F. G. R., Bishop, M. D. C., & Neto, P. A. D. F. (2021) · South Florida Journal of Health · doi:10.46981/sfjhv2n1-006

Introduction

Suen, S., Scheinker, D., & Enns, E. A. (2022) · Cambridge University Press eBooks · doi:10.1017/9781108872188.002

How Much Time to Survive Under Competing Risks: A Causal Debiasing ParadigmPreprint

Fan, Y., Zhang, Y., Ma, H., Huang, S., Huang, F., Si, L., Yao, Y., Wu, F. Q., & Huang, Z. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4075844

Choosing Wisely in the Era of Artificial Intelligence (Preprint)Preprint

Mehta, N., Born, K. B., Huynh, T., & Fine, B. (2019) · doi:10.2196/preprints.17093

INTELLIGENT SYSTEMS FOR PRECISION DENTAL DIAGNOSIS AND TREATMENT PLANNING – A REVIEW

Alden Schnyder Jason, D., KRİSHNAN, V., & Vinayachandran, D. (2022) · Cumhuriyet Dental Journal · doi:10.7126/cumudj.991480

The Pharmacist’s View: Patient-Centered Care Through the Lens of a Pharmacist

Franky, F., & Fung, B. K. (2022) · Health informatics · doi:10.1007/978-3-030-91237-6_6

Towards an Interpretable Model for Automatic Classification of Endoscopy Images

García-Aguirre, R., Torres‐Treviño, L., Navarro-López, E. M., & González, J. A. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-19493-1_24

An Overview of Artificial Intelligence Applications and Explosion

(2020) · REST Journal on Emerging trends in Modelling and Manufacturing · doi:10.46632/jemm/6/4/13

Evaluación metodológica de las revisiones sistemáticas basadas en la utilización de sistemas de inteligencia artificial en radiografía de tórax

Vidal-Mondéjar, J., Tejedor-Romero, L., & Catalá-López, F. (2023) · Radiología · doi:10.1016/j.rx.2023.01.007 · Cited by 1

The application of Artificial Intelligence to medical education in the last decade - a bibliometric analysis (Preprint)Preprint

Wang, S., Yang, L., & Li, M. (2023) · doi:10.2196/preprints.51411

Artificial Intelligence in Health Care: Will the Value Match the Hype?

Emanuel, E. J., & Wachter, R. M. (2019) · JAMA · doi:10.1001/jama.2019.4914 · Cited by 237

Addressing bias in artificial intelligence in health care

Parikh, R. B., Teeple, S., & Navathe, A. S. (2019) · JAMA · doi:10.1001/jama.2019.18058 · Cited by 764

Changing Opinions About AI in Health Care

Perlis, R. H. (2025) · JAMA · doi:10.1001/jama.2025.12974

Public Acceptance of Artificial Intelligence in Health Care

Lockey, S., & Gillespie, N. A. (2026) · JAMA Network Open · doi:10.1001/jamanetworkopen.2026.26843

Regulation of Artificial Intelligence in Health Care and Biomedicine

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