Introduction to Artificial Intelligence and Machine Learning in Pathology and Medicine: Generative and Nongenerative Artificial Intelligence Basics

Hooman H. Rashidi; Joshua Pantanowitz; Matthew G. Hanna; Ahmad P. Tafti; Parth Sanghani; Adam Buchinsky; Brandon Fennell; Mustafa Deebajah; Sarah Wheeler; Thomas Pearce; Ibrahim Abukhiran; Scott Robertson; Octavia Palmer; Mert Gur; Nam K. Tran; Liron Pantanowitz

doi:10.1016/j.modpat.2024.100688

Introduction to Artificial Intelligence and Machine Learning in Pathology and Medicine: Generative and Nongenerative Artificial Intelligence Basics

Hooman H. Rashidi^*, Joshua Pantanowitz, Matthew G. Hanna, Ahmad P. Tafti, Parth Sanghani, Adam Buchinsky, Brandon Fennell, Mustafa Deebajah, Sarah Wheeler, Thomas Pearce, Ibrahim Abukhiran, Scott Robertson, Octavia Palmer, Mert Gur, Nam K. Tran, Liron Pantanowitz

^*Corresponding author for this work

Department of Mechanical Engineering

Research output: Contribution to journal › Review article › peer-review

1 Citation (Scopus)

Abstract

This manuscript serves as an introduction to a comprehensive 7-part review article series on artificial intelligence (AI) and machine learning (ML) and their current and future influence within pathology and medicine. This introductory review provides a comprehensive grasp of this fast-expanding realm and its potential to transform medical diagnosis, workflow, research, and education. Fundamental terminology employed in AI-ML is covered using an extensive dictionary. The article also provides a broad overview of the main domains in the AI-ML field, encompassing both generative and nongenerative (traditional) AI, thereby serving as a primer to the other 6 review articles in this series that describe the details about statistics, regulations, bias, ethical dilemmas, and ML-Ops in AI-ML. The intent of these review articles is to better equip individuals who are or will be working in an AI-enabled health care system.

Original language	English
Article number	100688
Journal	Modern Pathology
Volume	38
Issue number	4
DOIs	https://doi.org/10.1016/j.modpat.2024.100688
Publication status	Published - Apr 2025

Bibliographical note

Publisher Copyright:
© 2024 The Authors

Keywords

ChatGPT
artificial intelligence
generative AI
generative pretrained transformer
machine learning
supervised & unsupervised ML

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10.1016/j.modpat.2024.100688

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Rashidi, H. H., Pantanowitz, J., Hanna, M. G., Tafti, A. P., Sanghani, P., Buchinsky, A., Fennell, B., Deebajah, M., Wheeler, S., Pearce, T., Abukhiran, I., Robertson, S., Palmer, O., Gur, M., Tran, N. K., & Pantanowitz, L. (2025). Introduction to Artificial Intelligence and Machine Learning in Pathology and Medicine: Generative and Nongenerative Artificial Intelligence Basics. Modern Pathology, 38(4), Article 100688. https://doi.org/10.1016/j.modpat.2024.100688

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title = "Introduction to Artificial Intelligence and Machine Learning in Pathology and Medicine: Generative and Nongenerative Artificial Intelligence Basics",

abstract = "This manuscript serves as an introduction to a comprehensive 7-part review article series on artificial intelligence (AI) and machine learning (ML) and their current and future influence within pathology and medicine. This introductory review provides a comprehensive grasp of this fast-expanding realm and its potential to transform medical diagnosis, workflow, research, and education. Fundamental terminology employed in AI-ML is covered using an extensive dictionary. The article also provides a broad overview of the main domains in the AI-ML field, encompassing both generative and nongenerative (traditional) AI, thereby serving as a primer to the other 6 review articles in this series that describe the details about statistics, regulations, bias, ethical dilemmas, and ML-Ops in AI-ML. The intent of these review articles is to better equip individuals who are or will be working in an AI-enabled health care system.",

keywords = "ChatGPT, artificial intelligence, generative AI, generative pretrained transformer, machine learning, supervised & unsupervised ML",

author = "Rashidi, {Hooman H.} and Joshua Pantanowitz and Hanna, {Matthew G.} and Tafti, {Ahmad P.} and Parth Sanghani and Adam Buchinsky and Brandon Fennell and Mustafa Deebajah and Sarah Wheeler and Thomas Pearce and Ibrahim Abukhiran and Scott Robertson and Octavia Palmer and Mert Gur and Tran, {Nam K.} and Liron Pantanowitz",

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doi = "10.1016/j.modpat.2024.100688",

language = "English",

volume = "38",

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Rashidi, HH, Pantanowitz, J, Hanna, MG, Tafti, AP, Sanghani, P, Buchinsky, A, Fennell, B, Deebajah, M, Wheeler, S, Pearce, T, Abukhiran, I, Robertson, S, Palmer, O, Gur, M, Tran, NK & Pantanowitz, L 2025, 'Introduction to Artificial Intelligence and Machine Learning in Pathology and Medicine: Generative and Nongenerative Artificial Intelligence Basics', Modern Pathology, vol. 38, no. 4, 100688. https://doi.org/10.1016/j.modpat.2024.100688

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AU - Hanna, Matthew G.

AU - Tafti, Ahmad P.

AU - Sanghani, Parth

AU - Buchinsky, Adam

AU - Fennell, Brandon

AU - Deebajah, Mustafa

AU - Wheeler, Sarah

AU - Pearce, Thomas

AU - Abukhiran, Ibrahim

AU - Robertson, Scott

AU - Palmer, Octavia

AU - Gur, Mert

AU - Tran, Nam K.

AU - Pantanowitz, Liron

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KW - generative pretrained transformer

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ER -

Introduction to Artificial Intelligence and Machine Learning in Pathology and Medicine: Generative and Nongenerative Artificial Intelligence Basics

Abstract

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Keywords

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