Research map: Artificial intelligence and machine learning in pharmaceutical research and healthcare: Ethical challenges and a framework for responsible implementation
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Papers in this map
Machine learning: Trends, perspectives, and prospects
· Michael I. Jordan · 2015 · 10039 citations · Cited by this paper
339 Effect of the Medicare Part D DIR Fee Change on Part D Point-of-Sale Brand Name Prescription Reimbursement in a Community Pharmacy Setting
· 2026 · Related
A Survey on Bias and Fairness in Machine Learning
· Ninareh Mehrabi · 2021 · 5473 citations · Cited by this paper
376 Community Pharmacist Perspectives on GLP-1 Receptor Agonist Medications: Attitudes, Stigma, and Professional Practice in Obesity and Diabetes Care
· 2026 · Related
Machine Learning in Medicine
· Alvin Rajkomar · 2019 · 4486 citations · Cited by this paper
422 The Impact of Home Blood Pressure Monitor Validation Protocol on Hypertension Control in a Large University Based Internal Medicine Clinic
· 2026 · Related
Predicting the Future — Big Data, Machine Learning, and Clinical Medicine
· Ziad Obermeyer · 2016 · 3713 citations · Cited by this paper
308 Impact of a Community Pharmacy Scheduling Service on HIV Care Coordination
· 2026 · Related
Machine Learning in Medicine
· Rahul C. Deo · 2015 · 3572 citations · Cited by this paper
119 Active Learning in Pharmacogenomics: A Review Of Instructional Applications In Pharmacy Education In the United States
· 2026 · Related
The ethics of algorithms: Mapping the debate
· Brent Mittelstadt · 2016 · 3402 citations · Cited by this paper
262 Comparison of Psychiatric Readmission Rates Following Discharge on Long-Acting Injectable Antipsychotics
· 2026 · Related
The rise of deep learning in drug discovery
· Hongming Chen · 2018 · 1861 citations · Cited by this paper
160 Characteristics and Glycemic Outcomes of Insulin Naive Adults with Type 2 Diabetes Using a Fixed-Dose Regimen of Weekly Insulin Efsitora in QWINT-1
· 2026 · Related
Implementing Machine Learning in Health Care — Addressing Ethical Challenges
· Danton S. Char · 2018 · 1845 citations · Cited by this paper
245 Implementing Alternative Treatment Options to Improve Cardiovascular Outcomes in Those with Cardiovascular Disease
· 2026 · Related
Artificial intelligence in drug discovery and development
· Debleena Paul · 2020 · 1680 citations · Cited by this paper
349 Provider Targeted Interventions to Increase HIV and PrEP Prescription Capture Rate
· 2026 · Related
Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data
· Milena A. Gianfrancesco · 2018 · 1428 citations · Cited by this paper
417 Readiness and Barriers to Implementing AUC-Guided Vancomycin Monitoring in Puerto Rico: A Cross-Sectional Survey of Hospital Pharmacists
· 2026 · Related
Machine learning in medicine: a practical introduction
· Jenni A. M. Sidey-Gibbons · 2019 · 1310 citations · Cited by this paper
Concepts of Artificial Intelligence for Computer-Assisted Drug Discovery
· Xin Yu Yang · 2019 · 1066 citations · Cited by this paper
Ethical and regulatory challenges of AI technologies in healthcare: A narrative review
· Ciro Mennella · 2024 · 1015 citations · Cited by this paper
Machine learning in chemoinformatics and drug discovery
· Yu‐Chen Lo · 2018 · 990 citations · Cited by this paper
Using recurrent neural network models for early detection of heart failure onset
· Edward Choi · 2016 · 976 citations · Cited by this paper
ADMET modeling approaches in drug discovery
· Leonardo L. G. Ferreira · 2019 · 838 citations · Cited by this paper
Machine-learning approaches in drug discovery: methods and applications
· Antonio Lavecchia · 2014 · 813 citations · Cited by this paper
Addressing Bias in Artificial Intelligence in Health Care
· Ravi Bharat Parikh · 2019 · 794 citations · Cited by this paper
From machine learning to deep learning: progress in machine intelligence for rational drug discovery
· Lu Zhang · 2017 · 773 citations · Cited by this paper
Deep Learning—A Technology With the Potential to Transform Health Care
· Geoffrey E. Hinton · 2018 · 694 citations · Cited by this paper
Advancing Drug Discovery via Artificial Intelligence
· H. C. Stephen Chan · 2019 · 665 citations · Cited by this paper
Cardiovascular Event Prediction by Machine Learning
· Bharath Ambale‐Venkatesh · 2017 · 664 citations · Cited by this paper
Exploiting machine learning for end-to-end drug discovery and development
· Sean Ekins · 2019 · 608 citations · Cited by this paper
Fairness of artificial intelligence in healthcare: review and recommendations
· Daiju Ueda · 2023 · 591 citations · Cited by this paper
Identification of type 2 diabetes subgroups through topological analysis of patient similarity
· Li Li · 2015 · 581 citations · Cited by this paper
Machine learning for clinical decision support in infectious diseases: a narrative review of current applications
· Nathan Peiffer‐Smadja · 2019 · 577 citations · Cited by this paper
How artificial intelligence is changing drug discovery
· Nic Fleming · 2018 · 558 citations · Cited by this paper
Bias in medical AI: Implications for clinical decision-making
· James M. Cross · 2024 · 558 citations · Cited by this paper
Artificial Intelligence (AI) Ethics
· Keng Leng Siau · 2020 · 526 citations · Cited by this paper
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