Published on in Vol 10, No 2 (2021): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22269, first published .
Ethical Issues in Patient Data Ownership

Ethical Issues in Patient Data Ownership

Ethical Issues in Patient Data Ownership

Authors of this article:

Varsha Chiruvella1 Author Orcid Image ;   Achuta Kumar Guddati1 Author Orcid Image

Journals

  1. Meshaka R, Gaunt T, Shelmerdine S. Artificial intelligence applied to fetal MRI: A scoping review of current research. The British Journal of Radiology 2022 View
  2. Belani S, Tiarks G, Mookerjee N, Rajput V. “I Agree to Disagree”: Comparative Ethical and Legal Analysis of Big Data and Genomics for Privacy, Consent, and Ownership. Cureus 2021 View
  3. Rowell C, Sebro R. Who Will Get Paid for Artificial Intelligence in Medicine?. Radiology: Artificial Intelligence 2022;4(5) View
  4. Hasani N, Farhadi F, Morris M, Nikpanah M, Rahmim A, Xu Y, Pariser A, Collins M, Summers R, Jones E, Siegel E, Saboury B. Artificial Intelligence in Medical Imaging and its Impact on the Rare Disease Community: Threats, Challenges and Opportunities. PET Clinics 2022;17(1):13 View
  5. Prakash S, Balaji J, Joshi A, Surapaneni K. Ethical Conundrums in the Application of Artificial Intelligence (AI) in Healthcare—A Scoping Review of Reviews. Journal of Personalized Medicine 2022;12(11):1914 View
  6. Thompson S. Health information technology. Nursing 2022;52(12):40 View
  7. Bernabei J, Li A, Revell A, Smith R, Gunnarsdottir K, Ong I, Davis K, Sinha N, Sarma S, Litt B. Quantitative approaches to guide epilepsy surgery from intracranial EEG. Brain 2023;146(6):2248 View
  8. Gupta N, Kasula V, Sanmugananthan P, Panico N, Dubin A, Sykes D, D'Amico R. SmartWear body sensors for neurological and neurosurgical patients: A review of current and future technologies. World Neurosurgery: X 2024;21:100247 View
  9. Habeeb M, You H, Umapathi M, Ravikumar K, Hariyadi , Mishra S. Strategies of Artificial intelligence tools in the domain of nanomedicine. Journal of Drug Delivery Science and Technology 2024;91:105157 View
  10. Agrawal V, Agrawal S, Bomanwar A, Dubey T, Jaiswal A. Exploring the Risks, Benefits, Advances, and Challenges in Internet Integration in Medicine With the Advent of 5G Technology: A Comprehensive Review. Cureus 2023 View
  11. Abdallah S, Sharifa M, I.KH. ALMADHOUN M, Khawar M, Shaikh U, Balabel K, Saleh I, Manzoor A, Mandal A, Ekomwereren O, Khine W, Oyelaja O. The Impact of Artificial Intelligence on Optimizing Diagnosis and Treatment Plans for Rare Genetic Disorders. Cureus 2023 View
  12. Souter N, Lannelongue L, Samuel G, Racey C, Colling L, Bhagwat N, Selvan R, Rae C. Ten recommendations for reducing the carbon footprint of research computing in human neuroimaging. Imaging Neuroscience 2023;1:1 View
  13. Aljabali A, Obeid M, El-Tanani M, Mishra V, Mishra Y, Tambuwala M. Precision epidemiology at the nexus of mathematics and nanotechnology: Unraveling the dance of viral dynamics. Gene 2024;905:148174 View
  14. Akçura M, Ozdemir Z, Tarakci H. A Game-Theoretic Analysis of the Adoption of Patient-Generated Health Data. Journal of Theoretical and Applied Electronic Commerce Research 2024;19(1):315 View
  15. Qian Y, Alhaskawi A, Dong Y, Ni J, Abdalbary S, Lu H. Transforming medicine: artificial intelligence integration in the peripheral nervous system. Frontiers in Neurology 2024;15 View
  16. Zhou A, Grant-Kels J. Ethics of patient requests to amend medical records. Journal of the American Academy of Dermatology 2024 View
  17. Marques L, Costa B, Pereira M, Silva A, Santos J, Saldanha L, Silva I, Magalhães P, Schmidt S, Vale N. Advancing Precision Medicine: A Review of Innovative In Silico Approaches for Drug Development, Clinical Pharmacology and Personalized Healthcare. Pharmaceutics 2024;16(3):332 View
  18. Guan H, Yap P, Bozoki A, Liu M. Federated learning for medical image analysis: A survey. Pattern Recognition 2024;151:110424 View
  19. Lidströmer N, Davids J, ElSharkawy M, Ashrafian H, Herlenius E. Systematic review and meta-analysis for a Global Patient co-Owned Cloud (GPOC). Nature Communications 2024;15(1) View
  20. Zafar F, Fakhare Alam L, Vivas R, Wang J, Whei S, Mehmood S, Sadeghzadegan A, Lakkimsetti M, Nazir Z. The Role of Artificial Intelligence in Identifying Depression and Anxiety: A Comprehensive Literature Review. Cureus 2024 View
  21. Ayalew B, Rodoshi Z, Patel V, Alresheq A, Babu H, Aurangzeb R, Aurangzeb R, Mdivnishvili M, Rehman A, Shehryar A, Hassan A. Nuclear Cardiology in the Era of Precision Medicine: Tailoring Treatment to the Individual Patient. Cureus 2024 View
  22. Borkar S, Chakole S, Prasad R, Bansod S. Revolutionizing Oncology: A Comprehensive Review of Digital Health Applications. Cureus 2024 View
  23. Souza A, Schirru L, Alvarenga M. Mineração de textos e dados na pesquisa em saúde: reflexões sobre direitos autorais. Cadernos de Saúde Pública 2024;40(5) View
  24. Souza A, Schirru L, Alvarenga M. Text and data mining in health research: reflections on copyright. Cadernos de Saúde Pública 2024;40(5) View
  25. Guo L, Reddy K, Van Iseghem T, Pierce W. Enhancing data practices for Whole Health: Strategies for a transformative future. Learning Health Systems 2024;8(S1) View
  26. Adams D, van Karnebeek C, Agulló S, Faùndes V, Jamuar S, Lynch S, Pintos-Morell G, Puri R, Shai R, Steward C, Tumiene B, Verloes A. Addressing diagnostic gaps and priorities of the global rare diseases community: Recommendations from the IRDiRC diagnostics scientific committee. European Journal of Medical Genetics 2024;70:104951 View
  27. Vicente B, Sebastião R, Sencadas V. Wearable Devices for Respiratory Monitoring. Advanced Functional Materials 2024;34(45) View
  28. Vakili-Ojarood M, Naseri A, Shirinzadeh-Dastgiri A, Saberi A, HaghighiKian S, Rahmani A, Farnoush N, Nafissi N, Heiranizadeh N, Antikchi M, Narimani N, Atarod M, Yeganegi M, Neamatzadeh H. Ethical Considerations and Equipoise in Cancer Surgery. Indian Journal of Surgical Oncology 2024;15(S3):363 View
  29. Wang Y, Dai S. Data ownership, privacy concerns, and consumer welfare. Economic and Political Studies 2024:1 View
  30. de Ruiter H, Breznik M. The Banality of Data: Patient Records, Nursing, and Ideology. Creative Nursing 2024;30(3):245 View
  31. Bopche R, Gustad L, Afset J, Ehrnström B, Damås J, Nytrø Ø. In-hospital mortality, readmission, and prolonged length of stay risk prediction leveraging historical electronic patient records. JAMIA Open 2024;7(3) View
  32. Dziedzic A, Issa J, Chaurasia A, Tanasiewicz M. Artificial intelligence and health-related data: The patient’s best interest and data ownership dilemma. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 2024;238(10):1023 View
  33. Chang M. Artificial Intelligence and Machine Learning in Spine Research: A New Frontier. Bioengineering 2024;11(9):915 View
  34. Benito G, Goldberg X, Brachowicz N, Castaño-Vinyals G, Blay N, Espinosa A, Davidhi F, Torres D, Kogevinas M, de Cid R, Petrone P. Machine learning for anxiety and depression profiling and risk assessment in the aftermath of an emergency. Artificial Intelligence in Medicine 2024;157:102991 View

Books/Policy Documents

  1. Tong K. Ageing with Dignity in Hong Kong and Asia. View
  2. Piccin V. Monitoring Positive Pressure Therapy in Sleep-Related Breathing Disorders. View
  3. Mathew J, Inobeme A, Abdullahi A, Bini E, Shaba E, Musah M, Azeh Y, Adetunji C, Ibrahim A, Tanko E, Mamman A. Sustainable Approach to Protective Nanocoatings. View
  4. Aliferis C, Simon G. Artificial Intelligence and Machine Learning in Health Care and Medical Sciences. View
  5. Santhoshkumar , Susithra K. Applying Machine Learning Techniques to Bioinformatics. View
  6. Kanakarajan S, Selvaraj R, Kaleena P. Rare Genetic Disorders. View
  7. Luca M, Ciobanu A, Crăciun V. Advances in Intelligent Healthcare Delivery and Management. View
  8. Mohanty S. Data-Driven Reproductive Health. View
  9. Mahato K. Biosensors for Personalized Healthcare. View