This paper is in the following e-collection/theme issue:

Reviews in Medical Informatics (82) Clinical Information and Decision Making (1314) Decision Support for Health Professionals (1127) Machine Learning (1370) Natural Language Processing (636) Quality Improvement (223)

Published on in Vol 8, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18599, first published .
Role of Artificial Intelligence in Patient Safety Outcomes: Systematic Literature Review

Role of Artificial Intelligence in Patient Safety Outcomes: Systematic Literature Review

Role of Artificial Intelligence in Patient Safety Outcomes: Systematic Literature Review

Authors of this article:

Avishek Choudhury1 Author Orcid Image ;   Onur Asan1 Author Orcid Image
Article Authors Cited by (131) Tweetations (19) Metrics

Journals

  1. Choudhury A, Renjilian E, Asan O. Use of machine learning in geriatric clinical care for chronic diseases: a systematic literature review. JAMIA Open 2020;3(3):459 View
  2. Choudhury A, Elkefi S, Asan O. Impact of Gender on Doctor-Patient Communication and Emotion: Exploratory Analysis. SSRN Electronic Journal 2020 View
  3. Zhao Z, Wu C, Zhang S, He F, Liu F, Wang B, Huang Y, Shi W, Jian D, Xie H, Yeh C, Li J. A Novel Convolutional Neural Network for the Diagnosis and Classification of Rosacea: Usability Study. JMIR Medical Informatics 2021;9(3):e23415 View
  4. Secinaro S, Calandra D, Secinaro A, Muthurangu V, Biancone P. The role of artificial intelligence in healthcare: a structured literature review. BMC Medical Informatics and Decision Making 2021;21(1) View
  5. Asan O, Choudhury A. Research Trends in Artificial Intelligence Applications in Human Factors Health Care: Mapping Review. JMIR Human Factors 2021;8(2):e28236 View
  6. Barak-Corren Y, Agarwal I, Michelson K, Lyons T, Neuman M, Lipsett S, Kimia A, Eisenberg M, Capraro A, Levy J, Hudgins J, Reis B, Fine A. Prediction of patient disposition: comparison of computer and human approaches and a proposed synthesis. Journal of the American Medical Informatics Association 2021;28(8):1736 View
  7. SureshKumar K, Vimala P. Energy efficient routing protocol using exponentially-ant lion whale optimization algorithm in wireless sensor networks. Computer Networks 2021;197:108250 View
  8. Shetty N, Yang Y, Asan O. A Scoping Review of Communication on Social Media - Breast Cancer. Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 2021;10(1):28 View
  9. Holloway L, Bezak E, Baldock C. Artificial intelligence (AI) will enable improved diagnosis and treatment outcomes. Physical and Engineering Sciences in Medicine 2021;44(3):603 View
  10. Banerjee M, Chiew D, Patel K, Johns I, Chappell D, Linton N, Cole G, Francis D, Szram J, Ross J, Zaman S. The impact of artificial intelligence on clinical education: perceptions of postgraduate trainee doctors in London (UK) and recommendations for trainers. BMC Medical Education 2021;21(1) View
  11. Choudhury A. Factors influencing clinicians' willingness to use an AI-based clinical decision support system. Frontiers in Digital Health 2022;4 View
  12. Choudhury A, Asan O. Impact of accountability, training, and human factors on the use of artificial intelligence in healthcare: Exploring the perceptions of healthcare practitioners in the US. Human Factors in Healthcare 2022;2:100021 View
  13. Drabiak K. Leveraging law and ethics to promote safe and reliable AI/ML in healthcare. Frontiers in Nuclear Medicine 2022;2 View
  14. Villanueva-Bueno C, Collado-Borrell R, Escudero-Vilaplana V, Revuelta-Herrero J, Marzal-Alfaro M, González-Haba E, Arranz-Arija J, Osorio S, Herranz-Alonso A, Sanjurjo-Saez M. A smartphone app to improve the safety of patients undergoing treatment with oral antineoplastic agents: 4 years of experience in a university hospital. Frontiers in Public Health 2022;10 View
  15. Svedberg P, Reed J, Nilsen P, Barlow J, Macrae C, Nygren J. Toward Successful Implementation of Artificial Intelligence in Health Care Practice: Protocol for a Research Program. JMIR Research Protocols 2022;11(3):e34920 View
  16. L J, Ananth D. Video Summarization using Deep Convolutional Neural Networks and Mutual Probability-based K-Nearest Neighbour. Journal of Experimental & Theoretical Artificial Intelligence 2023;35(8):1251 View
  17. Babvey P, Borrelli D, Lipizzi C, Ramirez-Marquez J. Content-Aware Galaxies: Digital Fingerprints of Discussions on Social Media. IEEE Transactions on Computational Social Systems 2021;8(2):294 View
  18. Bilal Unver M, Asan O. Role of Trust in AI-Driven Healthcare Systems: Discussion from the Perspective of Patient Safety. Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 2022;11(1):129 View
  19. Day P, Erdahl S, Rokke D, Wieczorek M, Johnson P, Jannetto P, Bornhorst J, Carter R. Artificial Intelligence for Kidney Stone Spectra Analysis: Using Artificial Intelligence Algorithms for Quality Assurance in the Clinical Laboratory. Mayo Clinic Proceedings: Digital Health 2023;1(1):1 View
  20. McNiven B, Wu T, Brown A. Novel Telephone-Based Interactive Voice Response System for Incident Reporting. The Joint Commission Journal on Quality and Patient Safety 2021;47(12):809 View
  21. Kumar H, Goh K, Guymer R, Wu Z. A clinical perspective on the expanding role of artificial intelligence in age-related macular degeneration. Clinical and Experimental Optometry 2022;105(7):674 View
  22. Goździkiewicz N, Zwolińska D, Polak-Jonkisz D. The Use of Artificial Intelligence Algorithms in the Diagnosis of Urinary Tract Infections—A Literature Review. Journal of Clinical Medicine 2022;11(10):2734 View
  23. Petersson L, Larsson I, Nygren J, Nilsen P, Neher M, Reed J, Tyskbo D, Svedberg P. Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden. BMC Health Services Research 2022;22(1) View
  24. Oliva A, Altamura G, Nurchis M, Zedda M, Sessa G, Cazzato F, Aulino G, Sapienza M, Riccardi M, Della Morte G, Caputo M, Grassi S, Damiani G. Assessing the potentiality of algorithms and artificial intelligence adoption to disrupt patient primary care with a safer and faster medication management: a systematic review protocol. BMJ Open 2022;12(5):e057399 View
  25. Cho D, Lee Y, Lee W, Lee E, Lee J. Analyzing Health Information Technology and Electronic Medical Record System-Related Patient Safety Incidents Using Data from the Korea Patient Safety Reporting and Learning System. Quality Improvement in Health Care 2021;27(2):57 View
  26. Seibert K, Domhoff D, Bruch D, Schulte-Althoff M, Fürstenau D, Biessmann F, Wolf-Ostermann K. Application Scenarios for Artificial Intelligence in Nursing Care: Rapid Review. Journal of Medical Internet Research 2021;23(11):e26522 View
  27. Adegboro C, Choudhury A, Asan O, Kelly M. Artificial Intelligence to Improve Health Outcomes in the NICU and PICU: A Systematic Review. Hospital Pediatrics 2022;12(1):93 View
  28. Zhao Y, Tsubota T. The Current Status of Secondary Use of Claims, Electronic Medical Records, and Electronic Health Records in Epidemiology in Japan: Narrative Literature Review. JMIR Medical Informatics 2023;11:e39876 View
  29. Uematsu H, Uemura M, Kurihara M, Umemura T, Hiramatsu M, Kitano F, Fukami T, Nagao Y. Development of a Novel Scoring System to Quantify the Severity of Incident Reports: An Exploratory Research Study. Journal of Medical Systems 2022;46(12) View
  30. Kumar B, Ainapure B, Singh S, Vyas S. Feature Extraction Based Deep Indexing by Deep Fuzzy Clustering for Image Retrieval Using Jaro Winkler Distance. The Computer Journal 2023;66(9):2191 View
  31. Srivatsan K. Design of filter coefficients for optimal factored truncated cascade FIR filter using optimization algorithm. Journal of High Speed Networks 2021;27(4):403 View
  32. Feng J, Phillips R, Malenica I, Bishara A, Hubbard A, Celi L, Pirracchio R. Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare. npj Digital Medicine 2022;5(1) View
  33. Emani S, Rui A, Rocha H, Rizvi R, Juaçaba S, Jackson G, Bates D. Physicians’ Perceptions of and Satisfaction With Artificial Intelligence in Cancer Treatment: A Clinical Decision Support System Experience and Implications for Low-Middle–Income Countries. JMIR Cancer 2022;8(2):e31461 View
  34. Khanijahani A, Iezadi S, Dudley S, Goettler M, Kroetsch P, Wise J. Organizational, professional, and patient characteristics associated with artificial intelligence adoption in healthcare: A systematic review. Health Policy and Technology 2022;11(1):100602 View
  35. Bove R, Schleimer E, Sukhanov P, Gilson M, Law S, Barnecut A, Miller B, Hauser S, Sanders S, Rankin K. Building a Precision Medicine Delivery Platform for Clinics: The University of California, San Francisco, BRIDGE Experience. Journal of Medical Internet Research 2022;24(2):e34560 View
  36. Li C, Shi C. Adverse Events and Risk Management in Residential Aged Care Facilities: A Cross-Sectional Study in Hunan, China. Risk Management and Healthcare Policy 2022;Volume 15:529 View
  37. Wang R, Luo M, Wen Y, Wang L, Raymond Choo K, He D, Ding W. The Applications of Blockchain in Artificial Intelligence. Security and Communication Networks 2021;2021:1 View
  38. Steele R. Pediatric quality measures: The leap from process to outcomes. Current Problems in Pediatric and Adolescent Health Care 2021;51(8):101065 View
  39. Choudhury A, Urena E. Artificial Intelligence in NICU and PICU: A Need for Ecological Validity, Accountability, and Human Factors. Healthcare 2022;10(5):952 View
  40. Sharma M, Savage C, Nair M, Larsson I, Svedberg P, Nygren J. Artificial Intelligence Applications in Health Care Practice: Scoping Review. Journal of Medical Internet Research 2022;24(10):e40238 View
  41. Tulk Jesso S, Kelliher A, Sanghavi H, Martin T, Henrickson Parker S. Inclusion of Clinicians in the Development and Evaluation of Clinical Artificial Intelligence Tools: A Systematic Literature Review. Frontiers in Psychology 2022;13 View
  42. Kleymenova E, Matrosova E, Yashina L, Nazarenko G, Gerasimova N. Systemic approach to the clinical risks management in a healthcare organization. Procedia Computer Science 2022;213:385 View
  43. Choudhury A, Asan O, Medow J. Effect of risk, expectancy, and trust on clinicians’ intent to use an artificial intelligence system -- Blood Utilization Calculator. Applied Ergonomics 2022;101:103708 View
  44. Pardhu T, Kumar V. Human motion classification using Impulse Radio Ultra Wide Band through-wall RADAR model. Multimedia Tools and Applications 2023;82(24):36769 View
  45. Lex J, Di Michele J, Koucheki R, Pincus D, Whyne C, Ravi B. Artificial Intelligence for Hip Fracture Detection and Outcome Prediction. JAMA Network Open 2023;6(3):e233391 View
  46. Damiani G, Altamura G, Zedda M, Nurchis M, Aulino G, Heidar Alizadeh A, Cazzato F, Della Morte G, Caputo M, Grassi S, Oliva A. Potentiality of algorithms and artificial intelligence adoption to improve medication management in primary care: a systematic review. BMJ Open 2023;13(3):e065301 View
  47. Unver M. Governing fiduciary relationships or building up a governance model for trust in AI? Review of healthcare as a socio-technical system. International Review of Law, Computers & Technology 2023;37(2):198 View
  48. Cinalioglu K, Elbaz S, Sekhon K, Su C, Rej S, Sekhon H. Exploring Differential Perceptions of Artificial Intelligence in Health Care Among Younger Versus Older Canadians: Results From the 2021 Canadian Digital Health Survey. Journal of Medical Internet Research 2023;25:e38169 View
  49. Papachristou N, Kotronoulas G, Dikaios N, Allison S, Eleftherochorinou H, Rai T, Kunz H, Barnaghi P, Miaskowski C, Bamidis P. Digital Transformation of Cancer Care in the Era of Big Data, Artificial Intelligence and Data-Driven Interventions: Navigating the Field. Seminars in Oncology Nursing 2023;39(3):151433 View
  50. Archer M, Germain S. The Integration of Artificial Intelligence in Drug Discovery and Development. International Journal of Digital Health 2021;1(1):5 View
  51. Deimazar G, Sheikhtaheri A. Machine learning models to detect and predict patient safety events using electronic health records: A systematic review. International Journal of Medical Informatics 2023;180:105246 View
  52. Gellert G, Rasławska-Socha J, Marcjasz N, Price T, Heyduk A, Mlodawska A, Kuszczyński K, Jędruch A, Orzechowski P. The Role of Virtual Triage in Improving Clinician Experience and Satisfaction: A Narrative Review. Telemedicine Reports 2023;4(1):180 View
  53. Hasani A, Singh S, Zahergivar A, Ryan B, Nethala D, Bravomontenegro G, Mendhiratta N, Ball M, Farhadi F, Malayeri A. Evaluating the performance of Generative Pre-trained Transformer-4 (GPT-4) in standardizing radiology reports. European Radiology 2023;34(6):3566 View
  54. Pathni R. Artificial Intelligence and the Myth of Objectivity. Journal of Healthcare Management Standards 2023;3(1):1 View
  55. Grech V, Cuschieri S, Eldawlatly A. Artificial intelligence in medicine and research – the good, the bad, and the ugly. Saudi Journal of Anaesthesia 2023;17(3):401 View
  56. Drazen J, Kohane I, Leong T, Sahni N, Carrus B. Artificial Intelligence in U.S. Health Care Delivery. New England Journal of Medicine 2023;389(4):348 View
  57. Sharma A, Pandey M. The influence of artificial intelligence technologies in healthcare systems and rise in their applications. IP International Journal of Forensic Medicine and Toxicological Sciences 2023;8(3):88 View
  58. Do K, Kawana E, Vachirakorntong B, Do J, Seibel R. The use of artificial intelligence in treating chronic back pain. The Korean Journal of Pain 2023;36(4):478 View
  59. Das S, Maheshwari R, Chakraborty J, Deb Roy S, Shil D. Enhancing drug related problem (DRP) management in Indian healthcare through AI integration: An insight view. Intelligent Pharmacy 2023;1(4):175 View
  60. Drabiak K, Kyzer S, Nemov V, El Naqa I. AI and machine learning ethics, law, diversity, and global impact. The British Journal of Radiology 2023;96(1150) View
  61. Kolasa K, Admassu B, Hołownia-Voloskova M, Kędzior K, Poirrier J, Perni S. Systematic reviews of machine learning in healthcare: a literature review. Expert Review of Pharmacoeconomics & Outcomes Research 2024;24(1):63 View
  62. YERLİKAYA N, KÜÇÜKASLAN Ö. Views of Veterinary Faculty Students on the Concept of Artificial Intelligence and Its Use in Veterinary Medicine Practices: An Example of XXXX University Faculty of Veterinary Medicine. Ankara Üniversitesi Veteriner Fakültesi Dergisi 2023 View
  63. King A, Fowler G, Macefield R, Quek F, Walker H, Thomas C, Markar S, Blazeby J, Blencowe N. A systematic scoping review protocol to summarise and appraise the use of artificial intelligence in the analysis of digital videos of invasive general surgical procedures. International Journal of Surgery Protocols 2023;27(3):118 View
  64. Shaik T, Tao X, Li L, Xie H, Velásquez J. A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom. Information Fusion 2024;102:102040 View
  65. Kondo T, Diwani S, Nyamawe A, Mjahidi M. Exploring the status of artificial intelligence for healthcare research in Africa: a bibliometric and thematic analysis. AI and Ethics 2023 View
  66. Choudhury A, Allen C. Artificially Intelligent? Machine Learning in Healthcare and Why It May Not Be As Advanced As You Think. PATIENT SAFETY 2023;5(2) View
  67. Johnson E, Dudding K, Carrington J. When to err is inhuman: An examination of the influence of artificial intelligence‐driven nursing care on patient safety. Nursing Inquiry 2024;31(1) View
  68. Kabir S, Pippi Salle J, Chowdhury M, Abbas T. Quantification of vesicoureteral reflux using machine learning. Journal of Pediatric Urology 2024;20(2):257 View
  69. Kandasamy R, Shubham F, Sharma S. Enigma to Artificial Intelligence. Pondicherry Journal of Nursing 2023;16(3):60 View
  70. Gupta L. The potential of artificial intelligence in anaesthesia. Indian Journal of Clinical Anaesthesia 2023;10(2):120 View
  71. Quan P, Sánchez-Fernández S, Parrado Gil L, Calvo Alonso A, Bodero Sánchez J, Ortega Eslava A, Luri M, Gastaminza Lasarte G. Usefulness of Drug Allergy Alert Systems: Present and Future. Current Treatment Options in Allergy 2023;10(4):413 View
  72. Kim T, Tae Y, Yeo H, Jang J, Cho K, Yoo D, Lee Y, Ahn S, Kim Y, Lee N, Cho W. Development and Validation of Deep-Learning-Based Sepsis and Septic Shock Early Prediction System (DeepSEPS) Using Real-World ICU Data. Journal of Clinical Medicine 2023;12(22):7156 View
  73. Pham P, Zhang H, Gao W, Zhu X. Determinants and performance outcomes of artificial intelligence adoption: Evidence from U.S. Hospitals. Journal of Business Research 2024;172:114402 View
  74. Townsend B, Plant K, Hodge V, Ashaolu O, Calinescu R. Medical practitioner perspectives on AI in emergency triage. Frontiers in Digital Health 2023;5 View
  75. Oniani D, Hilsman J, Peng Y, Poropatich R, Pamplin J, Legault G, Wang Y. Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare. npj Digital Medicine 2023;6(1) View
  76. Kynoch K, Liu X, Tan J, Shi W, Teus J, Ramis M. Exploring approaches to contemporary clinical incident analysis methods within acute care settings: a scoping review protocol. JBI Evidence Synthesis 2024;22(3):505 View
  77. DOKUMACI A, KARATAŞ Y. Farmakovijilansın Dijitalleşmesi: Yapay Zeka ve Veri Analitiğinin Rolü. Arşiv Kaynak Tarama Dergisi 2023;32(4):200 View
  78. Tripathi S, Tabari A, Mansur A, Dabbara H, Bridge C, Daye D. From Machine Learning to Patient Outcomes: A Comprehensive Review of AI in Pancreatic Cancer. Diagnostics 2024;14(2):174 View
  79. Jackson J, Pinto M. Human Near the Loop: Implications for Artificial Intelligence in Healthcare. Clinical Nursing Research 2024;33(2-3):135 View
  80. Wang R, Luo M, Feng Q, Peng C, He D. Multi-Party Privacy-Preserving Faster R-CNN Framework for Object Detection. IEEE Transactions on Emerging Topics in Computational Intelligence 2024;8(1):956 View
  81. Wimbarti S, Kairupan B, Tallei T. Critical review of self‐diagnosis of mental health conditions using artificial intelligence. International Journal of Mental Health Nursing 2024;33(2):344 View
  82. Bhagat S, Kanyal D. Navigating the Future: The Transformative Impact of Artificial Intelligence on Hospital Management- A Comprehensive Review. Cureus 2024 View
  83. Mukherjee S, Vagha S, Gadkari P. Navigating the Future: A Comprehensive Review of Artificial Intelligence Applications in Gastrointestinal Cancer. Cureus 2024 View
  84. Qiao H, Chen Y, Qian C, Guo Y. Clinical data mining: challenges, opportunities, and recommendations for translational applications. Journal of Translational Medicine 2024;22(1) View
  85. Khalifa M, Albadawy M. Artificial Intelligence for Clinical Prediction: Exploring Key Domains and Essential Functions. Computer Methods and Programs in Biomedicine Update 2024;5:100148 View
  86. Alanazi R. Role of Artificial Intelligence in Pharmacy Practice: A Systematic Review. Archives of Pharmacy Practice 2024;15(2):34 View
  87. Arjmandnia F, Alimohammadi E. The value of machine learning technology and artificial intelligence to enhance patient safety in spine surgery: a review. Patient Safety in Surgery 2024;18(1) View
  88. Saber A, Ahmed S, Hussein S, Qurbani K. Artificial intelligence-assisted nursing interventions in psychiatry for oral cancer patients: A concise narrative review. Oral Oncology Reports 2024;10:100343 View
  89. Machal M. Risks and benefits associated with the primary functions of artificial intelligence powered autoinjectors. Frontiers in Medical Technology 2024;6 View
  90. Kuziemsky C, Chrimes D, Minshall S, Mannerow M, Lau F. AI Quality Standards in Health Care: Rapid Umbrella Review. Journal of Medical Internet Research 2024;26:e54705 View
  91. Alsanosi S, Padmanabhan S. Potential Applications of Artificial Intelligence (AI) in Managing Polypharmacy in Saudi Arabia: A Narrative Review. Healthcare 2024;12(7):788 View
  92. Ruksakulpiwat S, Thorngthip S, Niyomyart A, Benjasirisan C, Phianhasin L, Aldossary H, Ahmed B, Samai T. A Systematic Review of the Application of Artificial Intelligence in Nursing Care: Where are We, and What’s Next?. Journal of Multidisciplinary Healthcare 2024;Volume 17:1603 View
  93. Dickinson H, Feifel J, Muylle K, Ochi T, Vallejo-Yagüe E. Learning with an evolving medicine label: how artificial intelligence-based medication recommendation systems must adapt to changing medication labels. Expert Opinion on Drug Safety 2024;23(5):547 View
  94. Nash K, Tolliver D, Foster A. Accountability to Quality and Equity of Care for Children With Acute Agitation in the Emergency Department. Hospital Pediatrics 2024;14(5):390 View
  95. Uematsu H, Uemura M, Kurihara M, Yamamoto H, Umemura T, Kitano F, Hiramatsu M, Nagao Y. Development of a scoring system to quantify errors from semantic characteristics in incident reports. BMJ Health & Care Informatics 2024;31(1):e100935 View
  96. Hirani R, Noruzi K, Khuram H, Hussaini A, Aifuwa E, Ely K, Lewis J, Gabr A, Smiley A, Tiwari R, Etienne M. Artificial Intelligence and Healthcare: A Journey through History, Present Innovations, and Future Possibilities. Life 2024;14(5):557 View
  97. Rallis D, Baltogianni M, Kapetaniou K, Giapros V. Current Applications of Artificial Intelligence in the Neonatal Intensive Care Unit. BioMedInformatics 2024;4(2):1225 View
  98. Dixon D, Sattar H, Moros N, Kesireddy S, Ahsan H, Lakkimsetti M, Fatima M, Doshi D, Sadhu K, Junaid Hassan M. Unveiling the Influence of AI Predictive Analytics on Patient Outcomes: A Comprehensive Narrative Review. Cureus 2024 View
  99. Green R, Castro H. Transforming Otolaryngology—Head and Neck Surgery. Otolaryngologic Clinics of North America 2024 View
  100. Khalid F, Alsadoun L, Khilji F, Mushtaq M, Eze-odurukwe A, Mushtaq M, Ali H, Farman R, Ali S, Fatima R, Bokhari S. Predicting the Progression of Chronic Kidney Disease: A Systematic Review of Artificial Intelligence and Machine Learning Approaches. Cureus 2024 View
  101. Farah L, Borget I, Martelli N, Vallee A. Suitability of the Current Health Technology Assessment of Innovative Artificial Intelligence-Based Medical Devices: Scoping Literature Review. Journal of Medical Internet Research 2024;26:e51514 View
  102. Kaya G, Gareayaghi N, Altındiş M. Kan transfüzyonu güvenliğini sağlamada yapay zekâ teknolojileri. Journal of Biotechnology and Strategic Health Research 2024;8(1):23 View
  103. Maphosa V, Mpofu B. An Artificial Intelligence-Based Random Forest Model for Reducing Prescription Errors and Improving Patient Safety. SSRN Electronic Journal 2024 View
  104. Rose S, Shapiro D. An Ethically Supported Framework for Determining Patient Notification and Informed Consent Practices When Using Artificial Intelligence in Health Care. CHEST 2024 View
  105. Khizir L, Bhandari V, Kaloth S, Pfail J, Lichtbroun B, Yanamala N, Elsamra S. From Diagnosis to Precision Surgery: the Transformative Role of Artificial Intelligence in Urologic Imaging. Journal of Endourology 2024 View
  106. Roberts L. Learning to Prevent Medical Errors. Academic Medicine 2024;99(7):703 View

Books/Policy Documents

  1. Lingard L, Watling C. Story, Not Study: 30 Brief Lessons to Inspire Health Researchers as Writers. View
  2. Sounderajah V, Normahani P, Aggarwal R, Jayakumar S, Markar S, Ashrafian H, Darzi A. Artificial Intelligence in Medicine. View
  3. Li R, Li H, Tang B, Au W. Current State of Art in Artificial Intelligence and Ubiquitous Cities. View
  4. Sounderajah V, Normahani P, Aggarwal R, Jayakumar S, Markar S, Ashrafian H, Darzi A. Artificial Intelligence in Medicine. View
  5. Choudhury A, Saremi M, Urena E. Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems. View
  6. Agnihotri M, Pandit A. Revolutionizing Business Practices Through Artificial Intelligence and Data-Rich Environments. View
  7. Gupta M, Kalra R. System Design for Epidemics Using Machine Learning and Deep Learning. View
  8. Monlezun D. The Thinking Healthcare System. View
  9. Choudhury A, Urena E. Artificial Intelligence in Clinical Practice. View
  10. Rissanen A, Rissanen M. Health Information Science. View
  11. Wanis M, Yi W. Pharmaceutical Care in Digital Revolution. View
  12. Al-Worafi Y. Technology for Drug Safety. View
  13. Sharma R, Gulati A, Chopra K. Artificial Intelligence and Machine Learning in Healthcare. View
  14. Yeats A. Deprescribing and Polypharmacy in an Aging Population. View
  15. Debnath R, Ikbal A, Choudhury A, Mandal S, Palit P. Concepts in Pharmaceutical Biotechnology and Drug Development. View
  16. Schiffer J, Bancalari Solá F, Gasparini M, Ortiz M, Posteraro G, Farro I, Armentano R, Cymberknop L. Advances in Bioengineering and Clinical Engineering. View
  17. Borah N, Tripathi Y, Tanwar A, Tiwari D, Sinha A, Sharma S, Jabalia N, Mani R, Santoshi S, Bansal H. Artificial Intelligence and Machine Learning in Drug Design and Development. View