Research map: Artificial intelligence in healthcare and drug discovery: A scoping review of current trends, challenges, and future directions

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  1. Long Short-Term Memory · Sepp Hochreiter · 1997 · 102561 citations · Cited by this paper
  2. Enhancing discharge location prediction for patients undergoing orthopedic surgery using side-tuning · 2026 · Related
  3. Deep learning · Yann LeCun · 2025 · 85121 citations · Cited by this paper
  4. KAMDA: A multi-view Kolmogorov-Arnold Network integrating pre-trained BERT embeddings and similarity-based imputation for microbe-drug association prediction · 2026 · Related
  5. PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation · Andrea C. Tricco · 2018 · 44107 citations · Cited by this paper
  6. Multi-dataset lung and colon cancer histopathology classification using hybrid CNN-vision transformer · 2026 · Related
  7. Human-level control through deep reinforcement learning · Volodymyr Mnih · 2015 · 31001 citations · Cited by this paper
  8. Efficient Few-Shot Learning for Medical Image Classification: A Practical Review of Lightweight and Resource-Aware Approaches · 2026 · Related
  9. A Survey on Transfer Learning · Sinno Jialin Pan · 2009 · 23884 citations · Cited by this paper
  10. LiT-HiSegFormer-Net: A hybrid SegFormer network with Bi-level context fusion for liver and tumor segmentation in CT images · 2026 · Related
  11. Interrater reliability: the kappa statistic · Marry L. McHugh · 2012 · 20219 citations · Cited by this paper
  12. Compact attention-driven deep network for interpretable oral squamous cell carcinoma screening · 2026 · Related
  13. High-performance medicine: the convergence of human and artificial intelligence · Eric J. Topol · 2018 · 10180 citations · Cited by this paper
  14. Generative AI for drug discovery and protein design: the next frontier in AI-driven molecular science · 2025 · Related
  15. Extended-Connectivity Fingerprints · David O. Williams Rogers · 2010 · 8004 citations · Cited by this paper
  16. Generative Artificial Intelligence in Healthcare: Applications, Implementation Challenges, and Future Directions · 2025 · Related
  17. SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules · David Weininger · 1988 · 7865 citations · Cited by this paper
  18. A guide to deep learning in healthcare · Andre Esteva · 2018 · 5264 citations · Cited by this paper
  19. Quantum machine learning · Jacob Biamonte · 2017 · 4782 citations · Cited by this paper
  20. Large language models in medicine · Arun James Thirunavukarasu · 2023 · 3892 citations · Cited by this paper
  21. Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models · Tiffany H. Kung · 2023 · 3884 citations · Cited by this paper
  22. The potential for artificial intelligence in healthcare · Thomas H. Davenport · 2019 · 3852 citations · Cited by this paper
  23. Innovation in the pharmaceutical industry: New estimates of R&D costs · Joseph A. DiMasi · 2016 · 3386 citations · Cited by this paper
  24. Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules · Rafael Gómez-Bombarelli · 2018 · 3213 citations · Cited by this paper
  25. Recent Trends in Deep Learning Based Natural Language Processing [Review Article] · Tom Young · 2018 · 2939 citations · Cited by this paper
  26. AI in health and medicine · Pranav Rajpurkar · 2022 · 2930 citations · Cited by this paper
  27. Drug Discovery: A Historical Perspective · Jürgen Drews · 2000 · 2775 citations · Cited by this paper
  28. Inverse molecular design using machine learning: Generative models for matter engineering · Benjamín Sánchez-Lengeling · 2018 · 2194 citations · Cited by this paper
  29. QSAR Modeling: Where Have You Been? Where Are You Going To? · Artem R Cherkasov · 2013 · 2185 citations · Cited by this paper
  30. Reoptimization of MDL Keys for Use in Drug Discovery · Joseph L. Durant · 2002 · 1992 citations · Cited by this paper
  31. Planning chemical syntheses with deep neural networks and symbolic AI · Marwin Segler · 2018 · 1970 citations · Cited by this paper
  32. Foundation models for generalist medical artificial intelligence · Michael Moor · 2023 · 1947 citations · Cited by this paper
  33. The rise of deep learning in drug discovery · Hongming Chen · 2018 · 1861 citations · Cited by this paper
  34. Quantum Chemistry in the Age of Quantum Computing · Yudong Cao · 2019 · 1509 citations · Cited by this paper
  35. Molecular de-novo design through deep reinforcement learning · Marcus Olivecrona · 2017 · 1472 citations · Cited by this paper
  36. Virtual screening of chemical libraries · Brian K. Shoichet · 2004 · 1465 citations · Cited by this paper
  37. A survey on deep learning for big data · Qingchen Zhang · 2017 · 1239 citations · Cited by this paper
  38. Virtual screening—an overview · W. Patrick Walters · 1998 · 1010 citations · Cited by this paper
  39. Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis · Ravi Aggarwal · 2021 · 955 citations · Cited by this paper

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