Modern Pathology / 2025

Future of Artificial Intelligence (AI) - Machine Learning (ML) Trends in Pathology and Medicine.

Matthew G. Hanna, Liron Pantanowitz, Rajesh C Dash, J. Harrison, Mustafa Deebajah, Joshua Pantanowitz, H. Rashidi

Computer VisionFoundation ModelsLarge Language Models

Artificial Intelligence (AI) and Machine Learning (ML) are transforming the field of medicine. Healthcare organizations are now starting to establish management strategies for integrating such platforms (AI-ML toolsets) which leverage the computational power of advanced algorithms to analyze data and to provide better insights which ultimately translates to enhanced clinical decision-making and improved patient outcomes. Emerging AI-ML platforms and trends in pathology and medicine are reshaping the field by offering innovative solutions to enhance diagnostic accuracy, operational workflows, clinical decision support, and clinical outcomes. These tools are also increasingly valuable in pathology research where they contribute to automated image analysis, biomarker discovery, drug development, clinical trials, and productive analytics. Other related trends include the adoption of ML-Ops (Machine Learning Operations) for managing models in clinical settings, the application of multimodal and multi-agent AI to utilize diverse data sources, expedited translational research and virtualized education for training and simulation. As the final chapter of our AI educational series, this review article delves into the current adoption, future directions, and transformative potential of AI-ML platforms in pathology and medicine, discussing their applications, benefits, challenges, and future perspectives.

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Title: Future of Artificial Intelligence (AI) - Machine Learning (ML) Trends in Pathology and Medicine.
Authors: Matthew G. Hanna, Liron Pantanowitz, Rajesh C Dash, J. Harrison, Mustafa Deebajah, Joshua Pantanowitz, H. Rashidi
Year: 2025
Venue: Modern Pathology
Categories: Computer Vision, Foundation Models, Large Language Models
Citations: 134
Paper URL: https://www.semanticscholar.org/paper/92b21a25404ffeff52870cc13e590a1411404380
Open PDF: Not available

Abstract:
Artificial Intelligence (AI) and Machine Learning (ML) are transforming the field of medicine. Healthcare organizations are now starting to establish management strategies for integrating such platforms (AI-ML toolsets) which leverage the computational power of advanced algorithms to analyze data and to provide better insights which ultimately translates to enhanced clinical decision-making and improved patient outcomes. Emerging AI-ML platforms and trends in pathology and medicine are reshaping the field by offering innovative solutions to enhance diagnostic accuracy, operational workflows, clinical decision support, and clinical outcomes. These tools are also increasingly valuable in pathology research where they contribute to automated image analysis, biomarker discovery, drug development, clinical trials, and productive analytics. Other related trends include the adoption of ML-Ops (Machine Learning Operations) for managing models in clinical settings, the application of multimodal and multi-agent AI to utilize diverse data sources, expedited translational research and virtualized education for training and simulation. As the final chapter of our AI educational series, this review article delves into the current adoption, future directions, and transformative potential of AI-ML platforms in pathology and medicine, discussing their applications, benefits, challenges, and future perspectives.

Learning resources:
- Google Scholar: Google Scholar references (https://scholar.google.com/scholar?q=Future%20of%20Artificial%20Intelligence%20(AI)%20-%20Machine%20Learning%20(ML)%20Trends%20in%20Pathology%20and%20Medicine.)
- Papers with Code: Papers with Code search (https://paperswithcode.com/search?q=Future%20of%20Artificial%20Intelligence%20(AI)%20-%20Machine%20Learning%20(ML)%20Trends%20in%20Pathology%20and%20Medicine.)
- Semantic Scholar: Semantic Scholar paper page (https://www.semanticscholar.org/paper/92b21a25404ffeff52870cc13e590a1411404380)
- YouTube: YouTube explanations (https://www.youtube.com/results?search_query=Future%20of%20Artificial%20Intelligence%20(AI)%20-%20Machine%20Learning%20(ML)%20Trends%20in%20Pathology%20and%20Medicine.+paper+explained)