Google DeepMind and healthcare in an age of algorithms

Machine learning: Trends, perspectives, and prospects

Jordan, M. I., & Mitchell, T. M. (2015) · Science · doi:10.1126/science.aaa8415 · Cited by 9,955

The Black Box Society: The Secret Algorithms That Control Money and Information

Pasquale, F. (2015) · doi:10.4159/harvard.9780674736061 · Cited by 3,796

The Black Box Society: The Secret Algorithms That Control Money and Information

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The social licence for research: why care.data ran into trouble

Carter, P., Laurie, G. T., & Dixon‐Woods, M. (2015) · Journal of Medical Ethics · doi:10.1136/medethics-2014-102374 · Cited by 348

Governing Knowledge Commons

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The economic impact of acute kidney injury in England

Kerr, M., Bedford, M., Matthews, B. B., & O'Donoghue, D. J. (2014) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfu016 · Cited by 273

Decision support systems: The next decade

Keen, P. (1987) · Decision Support Systems · doi:10.1016/0167-9236(87)90180-1 · Cited by 271

What is the real impact of acute kidney injury?

Bedford, M., Stevens, P. E., Wheeler, T. W., & Farmer, C. (2014) · BMC Nephrology · doi:10.1186/1471-2369-15-95 · Cited by 93

Acute kidney injury—how does automated detection perform?

Sawhney, S., Fluck, N., Marks, A., Prescott, G. J., Simpson, W. G., Tomlinson, L. A., & Black, C. (2015) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfv094 · Cited by 73

The ethics of big data as a public good: which public? Whose good?

Taylor, L. (2016) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2016.0126 · Cited by 70

Impact of Artificial Intelligence on the Future of Clinical Pharmacy and Hospital Settings

Hamishehkar, H., & Shahidi, M. (2025) · Journal of Research in Pharmacy Practice · doi:10.4103/jrpp.jrpp_51_25 · Cited by 7

A Hybrid Approach to Developing Clinical Decision Support Systems for Treatment Planning and Monitoring

Kovalev, R., Gribova, V. V., & Okun, D. B. (2025) · Systems · doi:10.3390/systems13100920 · Cited by 4

Performance of DeepSeek V3, DeepSeek R1, ChatGPT 4o, and ChatGPT o1 on the National Health Professional and Technical Qualification Examination (Intermediate Level) in China: Comparative Analysis

Xue, J., Wang, S., Yang, J., Guo, X., Shen, J., & Wang, Q. (2026) · JMIR Formative Research · doi:10.2196/90673 · Cited by 3

Problematic aspects of medical artificial intelligence. Part 1

Бердутин, В. А., Romanova, T. E., Romanov, S. V., & Abaeva, O. P. (2023) · Sociology of Medicine · doi:10.17816/socm619132 · Cited by 3

Clinical Perceptions and Feasibility Analysis of a Virtual Reality Game for Post-Stroke Rehabilitation

Castillo, J. F. V., López, J. F., Muñoz, J. E., & Henao, O. A. (2024) · TecnoLógicas · doi:10.22430/22565337.3180 · Cited by 3

Advancements and implications of artificial intelligence for early detection, diagnosis and tailored treatment of cancer

Chadha, S., Mukherjee, S., & Sanyal, S. (2025) · Seminars in Oncology · doi:10.1016/j.seminoncol.2025.152349 · Cited by 6

Integrating AI and Digital Marketing for Inclusive Governance

Zekan, S. B., Roje, A., & Russo, A. (2025) · Contributions to management science · doi:10.1007/978-3-031-88781-9_11 · Cited by 4

Personal Data v. Big Data in the EU: Control Lost, Discrimination Found

Βottis, M., & Bouchagiar, G. (2018) · Open Journal of Philosophy · doi:10.4236/ojpp.2018.83014 · Cited by 3

National Security: Theories, Actors, Issues

Clarke, M., Henschke, A., Legrand, T., & Sussex, M. (2021) · Springer eBooks · doi:10.1007/978-3-030-53494-3_1 · Cited by 3

Role of smartphone devices in precision oncology

Srivastava, R. (2022) · Journal of Cancer Research and Clinical Oncology · doi:10.1007/s00432-022-04413-3 · Cited by 4

Accuracy of convolutional neural network in the diagnosis of alveolar bone loss due to periodontal disease: A systematic review and meta-analysis

Chawla, K., & Garg, V. (2023) · Journal of Datta Meghe Institute of Medical Sciences University · doi:10.4103/jdmimsu.jdmimsu_281_22 · Cited by 3

Artificial Intelligence and the Medicine of the Future

Woodman, R. J., & Mangoni, A. A. (2023) · Practical issues in geriatrics · doi:10.1007/978-3-031-32246-4_12 · Cited by 3

Artificial Intelligence (AI) and Machine Learning (ML): An Innovative Cross-Talk Perspective and Their Role in the Healthcare Industry

Sharma, R., Gulati, A., & Chopra, K. (2023) · Springer eBooks · doi:10.1007/978-981-99-6472-7_2 · Cited by 4

Guiding supervisors in artificial intelligence-enabled forecasting: Understanding the impacts of salience and detail on decision-making

Khosrowabadi, N., Hoberg, K., & Lee, Y. S. (2024) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2024.08.001 · Cited by 4

Environmental Sustainability, Compliance and Life Cycle Assessment of AI-Integrated Systems

Parul, P., & Das, V. (2024) · Springer eBooks · doi:10.1007/978-3-031-69433-2_9 · Cited by 3

“Don't Be Evil” and Beyond for High Tech Organizations

Oravec, J. A. (2018) · Advances in human and social aspects of technology book series · doi:10.4018/978-1-5225-4197-4.ch013 · Cited by 3

Foundations of Data Protection Law

Ausloos, J. (2020) · doi:10.1093/oso/9780198847977.003.0002 · Cited by 3

Ethical and legal challenges

Tat, E., & Rabbat, M. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-820273-9.00017-8 · Cited by 3

The Interaction of the Medical Device Regulation and the GDPR

Meszaros, J. G., Compagnucci, M. C., & Minssen, T. (2022) · Cambridge University Press eBooks · doi:10.1017/9781108975452.007 · Cited by 5

ENDÜSTRİ 4.0’IN İNSAN KAYNAKLARI YÖNETİMİNE ETKİSİ: İKY 4.0

Yılmaz, C., & Yılmaz, T. (2023) · Hak İş Uluslararası Emek ve Toplum Dergisi · doi:10.31199/hakisderg.1214130 · Cited by 3

Essential requirements for establishing and operating data trusts: practical guidance based on a working meeting of fifteen Canadian organizations and initiativesPreprint

Paprica, P. A., Sutherland, E., SMITH, A. B., Brudno, M., Cartagena, R. G., Crichlow, M., Courtney, B. K., Loken, C., McGrail, K. M., Ryan, A., et al. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2005.06604 · Cited by 3

A Study of Possible AI Aversion in Healthcare Consumers

Mukherjee, T., & Mukherjee, A. (2025) · Wiley eBooks · doi:10.1002/9781394234073.ch1 · Cited by 3

A Pathway for Integrating Artificial Intelligence for Neonatal Neuromonitoring: From Code to Crib Side

Kułakowski, P., Alarcón, A., Škorić, T., Seoni, S., O’Sullivan, M., & O’Toole, J. M. (2025) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2025.114708 · Cited by 2

Artificial intelligence in the diagnosis and prognosis of intrahepatic cholangiocarcinoma: Applications and challenges

Qiao, L., Luo, Y.-G., Wang, Q.-Y., Yuan, T., Xu, M. M., Xiong, G.-B., & Zhu, F. (2025) · World Journal of Gastrointestinal Oncology · doi:10.4251/wjgo.v17.i10.111367 · Cited by 2

Ethical and Regulatory Consideration in AI-Based Medical Imaging

Nadeem, G., & Anis, M. I. (2025) · Springer eBooks · doi:10.1007/978-3-032-02963-8_10 · Cited by 2

Knowledge sharing and organizational adaptability through workforce dynamic capabilities and Human-AI collaborative tasks

Chen, C., Dong, Z., & Shahzad, U. (2026) · Journal of Knowledge Management · doi:10.1108/jkm-04-2025-0601 · Cited by 3

COVID-19 lethality reduction using artificial intelligence solutions derived from telecommunications systems

Gaie, C., & Mueck, M. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-90769-9.00025-6 · Cited by 2

Development of Rehabilitation and Assistive Robots in China: Dilemmas and Solutions

Zhao, L., & Guo, Y. (2023) · Journal of Shanghai Jiaotong University (Science) · doi:10.1007/s12204-023-2596-9 · Cited by 2

New Trends and Challenges in Open Data

Kakulapati, V. (2023) · IntechOpen eBooks · doi:10.5772/intechopen.1000267 · Cited by 2

Deep learning in drug discovery

Bhati, M., Virmani, T., Kumar, G., Sharma, A., & Chitranshi, N. (2023) · Elsevier eBooks · doi:10.1016/b978-0-443-19413-9.00013-8 · Cited by 2

Protein structure prediction with recurrent neural network and convolutional neural network: a case study

Karwasra, R., Khanna, K., Suchal, K., Sharma, A., & Singh, S. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-22299-3.00013-x · Cited by 2

O uso da Inteligência Artificial na Medicina: os benefícios e desafios da parceria homem-tecnologia na saúde

Gomes, S. A., Montanini, J. F., & Sobrinho, H. M. D. R. (2024) · Revista Eletrônica Acervo Saúde · doi:10.25248/reas.e18374.2024 · Cited by 2

Advancing Nanotechnology in Targeted Cancer Therapy: From Passive Targeting to Smart Delivery Systems

Fahmy, A. M. (2025) · Premier journal of science. · doi:10.70389/pjs.100052 · Cited by 2

Privacy on Medical Big Data

Hou, C., Chang, C., Chuang, F.-C., Li, B., & Lai, L.-Y. (2020) · IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS) · doi:10.1109/ecbios50299.2020.9203627 · Cited by 2

Constraints on Economic Inequality: Comparing Canada and the United States

Howard-Hassmann, R. E. (2021) · Cambridge University Press eBooks · doi:10.1017/9781009006545.003 · Cited by 3

A Framework for Fiscal Justice: How Human Rights Can Change Public Finance

Rüdiger, A. (2021) · Cambridge University Press eBooks · doi:10.1017/9781009006545.006 · Cited by 2

AIM, Philosophy, and Ethics

Rainey, S., Erden, Y. J., & Rességuier, A. (2022) · Springer eBooks · doi:10.1007/978-3-030-64573-1_243 · Cited by 2

Health Data Pools: Case-Studies and Involved Interests

Schneider, G. (2022) · Munich studies on innovation and competition · doi:10.1007/978-3-030-95427-7_3 · Cited by 2

Ontology-Based Healthcare Hierarchy Towards Chatbot

Adhikary, P. K., Manna, R., Laskar, S. R., & Pakray, P. (2022) · Communications in computer and information science · doi:10.1007/978-3-031-10766-5_26 · Cited by 2

Variational Autoencoders and Evolutionary Algorithms for Targeted Novel Enzyme Design

Martins, M., Rocha, M., & Pereira, V. (2022) · IEEE Congress on Evolutionary Computation (CEC) · doi:10.1109/cec55065.2022.9870421 · Cited by 2

Artificial Intelligence for Energy Conversion

Ghosh, T. (2023) · Materials research foundations · doi:10.21741/9781644902530-6 · Cited by 2

Health Informatics Applications in Healthcare and Society 5.0

Marima, R. M., Mtshali, N. Z., Phillips, P., Molefi, T., Khanyile, R., Mbita, Z., Mbeje, M., Chatziioannou, A. A., Blenman, K., & Dlamini, Z. (2023) · Springer eBooks · doi:10.1007/978-3-031-36461-7_2 · Cited by 2

Preparing for the Ai Era Under the Digital Health Framework

Xu, S. Z., Hu, C., & Min, D. (2019) · ITU Kaleidoscope Academic Conference (ITU K) · doi:10.23919/ituk48006.2019.8996133 · Cited by 2

A Privacy-Aware EMR Sharing System Combined with Blockchain and Proxy Re-encryption MechanismsPreprint

Huang, D., Liu, L.-C., Deng, Y., & Chen, C. (2022) · Research Square · doi:10.21203/rs.3.rs-2027461/v1 · Cited by 2

Digital public health technologies: rationale for a multidisciplinary research laboratoryPreprint

Андрейченко, А. Е., Gorbacheva, A. M., Denisova, D., Okhotin, A., Kriuchkova, A., Pushkina, N., & Барчук, А. А. (2022) · OSF Preprints (OSF Preprints) · doi:10.31219/osf.io/2kxbm · Cited by 2

Deep learning approaches for the cardiovascular disease diagnosis using smartphone

Subaşı, A., Kontio, E., & Jafaritadi, M. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-90548-0.00010-3 · Cited by 1

Pandemic Solutionism

Maschewski, F., & Nosthoff, A.-V. (2022) · Digital Culture & Society · doi:10.14361/dcs-2022-080104 · Cited by 2

A INTELIGÊNCIA ARTIFICIAL EM MEDICINA: ROBÔS CIRURGIÕES, REDES NEURAIS DIGITAIS, BIG DATA EM SAÚDE, INFODEMIOLOGIA E BIOIMPRESSÃO PARA REGENERAÇÃO TECIDUAL

de Andrade, T. N., de Morais, O. J., & Ramirez, B. F. D. (2023) · Editora e-Publicar eBooks · doi:10.47402/ed.ep.c2023210411201 · Cited by 1

AI in Pervasive Healthcare: A Survey

Ghosh, K., Sharma, S., Sarkar, S., & Kaushik, A. (2023) · Lecture notes in electrical engineering · doi:10.1007/978-981-99-3656-4_71 · Cited by 1

Society, Healthcare, and Artificial Intelligence

Aman, Z., & Qidwai, M. A. (2024) · Advances in healthcare information systems and administration book series · doi:10.4018/979-8-3693-7051-3.ch020 · Cited by 1

Digital health in surgery

Lam, K., & Kinross, J. K. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-15728-8.00005-7 · Cited by 1

Case studies and use cases of deep learning for biomedical applications

Muniyandi, M. A. P., Padmavathy, T., & Balusamy, B. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-26765-9.00010-x · Cited by 1

Artificial Intelligence Tools and Sustainable Development

Jonathan, K. (2025) · Journal of Information and Technology · doi:10.70619/vol5iss5pp26-33 · Cited by 1

Artificial Intelligence and Machine Learning Approaches in Radiology for Medical Imaging Diagnostics

Gomase, V. S., & Ghatule, A. P. (2025) · Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) · doi:10.2174/0123520965407792250811093550 · Cited by 1

Benchmarking reinforcement learning algorithms in first-person shooter games using VizDoom

Khan, A., & Aqeel, A. (2025) · Entertainment Computing · doi:10.1016/j.entcom.2025.101031 · Cited by 1

Engineering AI Ethics for Transparency

Ramachandran, M. (2025) · Springer eBooks · doi:10.1007/978-981-95-2909-4_15 · Cited by 1

Personalized healthcare information delivery using artificial intelligence

Rana, H., Gohel, S., Patel, D., Sharma, M., Gandhi, N., & Suryawanshi, M. V. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-43823-3.00018-2 · Cited by 1

Artificial Intelligence in Healthcare Systems of Low- and Middle-Income Countries: Opportunities, Challenges, and Pathways to Ethical Integration

Rabiee, P. (2026) · Biomedical visualization · doi:10.1007/978-3-032-06520-9_9 · Cited by 2

Human-Centered AI in Healthcare

Majumder, N. N., & Adebiyi, B. O. (2026) · Springer eBooks · doi:10.1007/978-981-97-8440-0_112-1 · Cited by 1

THE AI REVOLUTION IN PHARMACEUTICALS: INNOVATIONS, CHALLENGES, AND FUTURE PROSPECTS – AN OVERVIEW

VIGNESH, R., Umashankar, M. S., & Narayanasamy, D. (2026) · International Journal of Applied Pharmaceutics · doi:10.22159/ijap.2026v18i1.55744 · Cited by 2

Artificial intelligence in healthcare faces regulatory challenges: balancing innovation with human oversight

Servy, H., Braithwaite, B., Kiltz, U., van Tubergen, A. M., Studenic, P., Voshaar, M., Wiek, D., Tropé, S., Burmester, G. R., Venerito, V., et al. (2026) · EULAR Rheumatology Open · doi:10.1016/j.ero.2026.02.010 · Cited by 2

Commercial or industrial use of mental health data for research: primer and best-practice guidelines from the DATAMIND patient/public Lived Experience Advisory Group

Jones, L. A., Barber, C., Clements-Brod, N., Davies, J., DelPozo‐Baños, M., Hughes, A., Iveson, M. H., Jain, D., John, A. M., Maguire, A., et al. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1760116 · Cited by 1

Deep Learning Technology in Genomics, Radiotherapy, and Ophthalmology for Precision Medicine

Pratap, A., Huang, Y.-J., Chiang, C.-K., Liu, W., Lin, W.-Y., Hsu, H.-C., & Hsiung, P. (2026) · Journal of physiological investigation. · doi:10.4103/ejpi.ejpi-d-25-00069 · Cited by 2

User Risk Perceptions and Protective Actions in FemTech in the UK and Iran

Mehrnezhad, M., Almeida, T., & Toreini, E. (2026) · ACM Transactions on Social Computing · doi:10.1145/3816003 · Cited by 1

From the what to the how: why the stewardship of ethics implementation in AI healthcare matters

Goirand, M., Austin, E. E., & Clay‐Williams, R. (2026) · AI and Ethics · doi:10.1007/s43681-026-01155-7 · Cited by 1

When AI ethics fail and trigger negative spillovers on customer firms: evidence from event study and fsQCA

Dong, S., Zeng, W., Aroles, J., & Tse, Y.-K. (2026) · International Journal of Operations & Production Management · doi:10.1108/ijopm-10-2025-1101 · Cited by 2

Decoding the microbiome: artificial intelligence-targeted gut microenvironment breakthroughs in personalized cancer therapy

Liu, J., Zhao, P., Jiang, D., Li, S. B., Jin, C., Xu, D., Wang, X. M., Chen, Y., Tang, B., & Qu, X. (2026) · Gut Microbes · doi:10.1080/19490976.2026.2672791 · Cited by 3

Performance of artificial intelligence in the collection of patient history in general practice

Besnier, M., Bonnet, C., & Coudert, A. L. (2026) · Atención Primaria · doi:10.1016/j.aprim.2026.103529 · Cited by 1

Artificial intelligence and machine learning in pharmaceutical research and health care: Ethical challenges and a framework for responsible implementation

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The 2025 European health data space regulation: implementation challenges in harmonising opt-out rules for reusing health data

Martani, A., Skovgaard, L., Neubert, J., Richter, G., & Marelli, L. (2026) · Health Policy · doi:10.1016/j.healthpol.2026.105764 · Cited by 1

Large datasets, logistics, sharing and workflow in screening

Cook, T. S. (2018) · British Journal of Radiology · doi:10.1259/bjr.20170751 · Cited by 1

Emerging Human Rights Norms and Standards on Vertical Inequalities

MacNaughton, G. (2021) · Cambridge University Press eBooks · doi:10.1017/9781009006545.002 · Cited by 1

Distributive Justice, and Economic and Social Rights

Lee, J. (2021) · Cambridge University Press eBooks · doi:10.1017/9781009006545.010 · Cited by 2

Implications of the Health Equity Perspective for the Right to Health

Wu, C.-F. (2021) · Cambridge University Press eBooks · doi:10.1017/9781009006545.014 · Cited by 1

Future Directions of Artificial Intelligence and Machine Learning in Healthcare: A Systematic Analysis and Mapping Study

Mishra, H. M., Ahmed, B., Shuja, M., Qtaishat, A., & Kumar, M. (2023) · International Conference on Information Systems and Computer Networks (ISCON) · doi:10.1109/iscon57294.2023.10111959 · Cited by 1

Analysis of trends and challenges of public open data in health care industry using Artificial Intelligence

Kakulapati, V. (2023) · IntechOpen eBooks · doi:10.5772/intechopen.1001885 · Cited by 1

Analyzing and Researching the Intermediate Layer of Alliance Medical Data Combined with Edge Computing

Hsu, T. C., Chu, W. C., Tseng, Y., Lee, S.-Y., & Chen, S.-W. (2023) · IEEE International Conference on Software Services Engineering (SSE) · doi:10.1109/sse60056.2023.00045 · Cited by 1

Who owns health data anyway?

Curtis, L. R. (2023) · Practical Diabetes · doi:10.1002/pdi.2472 · Cited by 1

Ethical challenges in medical services

Agheorghiesei, D.-M., & Bercu, A. (2024) · International Conference "Economic Security in the Context of Systemic Transformations" · doi:10.53486/escst2023.26 · Cited by 1

Case Studies

(2024) · Advances in logistics, operations, and management science book series · doi:10.4018/979-8-3693-2695-4.ch011 · Cited by 1

Advanced Analytics and Machine Learning Algorithms for Healthcare Decision Support Systems

Sarvakar, K., Yadav, R., Patel, A., Patel, C. D., Rana, K., & Borisagar, V. H. (2024) · Advances in healthcare information systems and administration book series · doi:10.4018/979-8-3693-7457-3.ch002 · Cited by 1

Artificial intelligence and surgical radiology – how it is shaping real‐world management

Chai, V., Wirth, L. J., Cao, K., Lim, L., & Yeung, J. M. C. (2024) · ANZ Journal of Surgery · doi:10.1111/ans.19256 · Cited by 1

Artificial Intelligence in Knee Arthroscopy

Tollefson, L. V., Shoemaker, E. P., Kennedy, N. I., & LaPrade, R. F. (2024) · Springer eBooks · doi:10.1007/978-3-031-70310-2_10 · Cited by 1

Revolutionizing Drug Development: Harnessing Artificial Intelligence in Pharmaceutical Sciences

Roy, S. P., Kadiri, S. K., Bhowmik, S., Patel, V., Deb, L., & Tiwari, P. K. (2025) · Current Drug Discovery Technologies · doi:10.2174/0115701638343448250207053913 · Cited by 2

Artificial Intelligence for Medication Management in Discordant Chronic Comorbidities: An Analysis from Healthcare Provider and Patient Perspectives

Ongwere, T., Nguyen, T., & Sadowski, Z. (2025) · Information · doi:10.3390/info16030237 · Cited by 1

Kunstig intelligens og norsk politikk

Tennøe, T., & Prabhu, R. (2017) · Nytt Norsk Tidsskrift · doi:10.18261/issn.1891-1781-2017-02-09 · Cited by 1

Revolutionising Computing Infrastructure For Citizen Empowerment

Zilberman, N. (2017) · Apollo (University of Cambridge) · doi:10.17863/cam.13960 · Cited by 1

Forms of Engagement

Aitken, M., & Cunningham‐Burley, S. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108620024.015 · Cited by 1

Fair Wages and a Decent Living: Paths to Greater Vertical Equality

Frey, D. F., & MacNaughton, G. (2021) · Cambridge University Press eBooks · doi:10.1017/9781009006545.011 · Cited by 1

Global Tax Justice and Human Rights

Cobham, A., Mohiuddin, F., & Nelson, L. (2021) · Cambridge University Press eBooks · doi:10.1017/9781009006545.007 · Cited by 1

What the UN Human Rights Treaty Bodies Tell Us about Economic Inequalities and Human Rights: An Empirical Analysis of Twenty Years of Practice

Aubry, S., James, K., McKernan, L., Munro, B., & Noyrez, C. (2021) · Cambridge University Press eBooks · doi:10.1017/9781009006545.004 · Cited by 1

AIM, Philosophy and Ethics

Rainey, S., Erden, Y. J., & Rességuier, A. (2021) · Springer eBooks · doi:10.1007/978-3-030-58080-3_243-1 · Cited by 1

Digital Health Research and Health Data Pools

Schneider, G. (2022) · Munich studies on innovation and competition · doi:10.1007/978-3-030-95427-7_2 · Cited by 1

A Review on an Artificial Intelligence Based Ophthalmic Application

Kothandan, S., Radhakrishnan, A., & Kuppusamy, G. (2022) · Current Pharmaceutical Design · doi:10.2174/1381612828666220520112240 · Cited by 1

Impact of Information Technology on Patient Confidentiality Rights

Elgujja, A. A. (2022) · IGI Global eBooks · doi:10.4018/978-1-6684-6311-6.ch037 · Cited by 1

Artificial Intelligence: The New “Fuel” to Accelerate Pharmaceutical Development

Pantelidis, P., Spartalis, Μ., Zakynthinos, G. Ε., Anastasiou, A., Goliopoulou, A., Oikonomou, E. K., Iliopoulos, D., & Siasos, G. (2022) · Current Pharmaceutical Design · doi:10.2174/1381612828666220729101103 · Cited by 1

Pandemic Solutionism: The Power of Big Tech during the COVID-19 CrisisPreprint

Maschewski, F., & Nosthoff, A.-V. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4454582 · Cited by 1

The Trust Tax of Privacy and Robustness: An Empirical Study Across Vision, NLP, and Tabular ML

Kandakatla, J. R. (2026) · 2026 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) · doi:10.1109/icaiic68212.2026.11454302

Metagenomics And Clinical Benchmarking With Low Coverage Oxford Nanopore Data

Alexander, N. (2015) · INFM-OAR (INFN Catania) · doi:10.5281/zenodo.31274

Editorial DeepMind

Kun, L. G. (2018) · Health and Technology · doi:10.1007/s12553-018-0229-3 · Cited by 1

Response to DeepMind

Powles, J., & Hodson, H. (2018) · Health and Technology · doi:10.1007/s12553-018-0226-6 · Cited by 14

NHS data sharing deal with Google prompts concern

Hawkes, N. (2016) · BMJ · doi:10.1136/bmj.i2573 · Cited by 13

Letter in response to Google DeepMind and healthcare in an age of algorithms

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