On the public citation graph
Applications of Large Language Models in Pathology
0 signed · 140 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
1 of the 92 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1016/j.heliyon.2024.e24289 (notice 2025-04-16).
Dataset join, best-effort; this page does not check the publisher record. Retraction Watch data via Crossref Labs, used with credit; OpenCitations Index (CC0) and Meta (CC BY 4.0); dataset doi:10.7910/DVN/WT8VOA (CC BY 4.0).
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1001/jama.2024.0018openalex-snapshot
AI’s Threat to the Medical Profession
inferredcites →https://doi.org/10.1002/path.6232openalex-snapshot
Extracting structured information from unstructured histopathology reports using generative pre‐trained transformer 4 ( GPT ‐4)
inferredcites →https://doi.org/10.1007/s00405-023-08337-7openalex-snapshot
How ChatGPT works: a mini review
inferredcites →https://doi.org/10.1007/s00405-024-08476-5openalex-snapshot
Diagnosis of malignancy in oropharyngeal confocal laser endomicroscopy using GPT 4.0 with vision
inferredcites →https://doi.org/10.1007/s12070-023-03755-9openalex-snapshot
The Urgent Need for Healthcare Workforce Upskilling and Ethical Considerations in the Era of AI-Assisted Medicine
inferredcites →https://doi.org/10.1007/s12195-024-00793-3openalex-snapshot
Incorporation of ChatGPT and Other Large Language Models into a Graduate Level Computational Bioengineering Course
inferredcites →https://doi.org/10.1007/s41666-023-00157-yopenalex-snapshot
Contextual Word Embedding for Biomedical Knowledge Extraction: a Rapid Review and Case Study
inferredcites →https://doi.org/10.1016/j.acpath.2023.100099openalex-snapshot
ChatGPT 3.5 fails to write appropriate multiple choice practice exam questions
inferredcites →https://doi.org/10.1016/j.ajpath.2020.10.018openalex-snapshot
Challenges in the Development, Deployment, and Regulation of Artificial Intelligence in Anatomic Pathology
inferredcites →https://doi.org/10.1016/j.cmi.2023.11.002openalex-snapshot
Extracting symptoms from free-text responses using ChatGPT among COVID-19 cases in Hong Kong
inferredcites →https://doi.org/10.1016/j.ebiom.2022.104427openalex-snapshot
Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade
inferredcites →https://doi.org/10.1016/j.heliyon.2024.e24289openalex-snapshot
RETRACTED: The application and challenges of ChatGPT in educational transformation: New demands for teachers' roles
inferredcites →https://doi.org/10.1016/j.ijmedinf.2019.103985openalex-snapshot
Extracting comprehensive clinical information for breast cancer using deep learning methods
inferredcites →https://doi.org/10.1016/j.jpi.2022.100008openalex-snapshot
Neural Network Assisted Pathology Case Identification
inferredcites →https://doi.org/10.1016/j.jpi.2023.100338openalex-snapshot
Organizational preparedness for the use of large language models in pathology informatics
inferredcites →https://doi.org/10.1016/j.jpi.2023.100342openalex-snapshot
The ChatGPT conundrum: Human-generated scientific manuscripts misidentified as AI creations by AI text detection tool
inferredcites →https://doi.org/10.1016/j.media.2014.01.010openalex-snapshot
Weakly supervised histopathology cancer image segmentation and classification
inferredcites →https://doi.org/10.1016/j.resplu.2024.100584openalex-snapshot
Using generative artificial intelligence in bibliometric analysis: 10 years of research trends from the European Resuscitation Congresses
inferredcites →https://doi.org/10.1038/d41586-022-04383-zopenalex-snapshot
Are ChatGPT and AlphaCode going to replace programmers?
inferredcites →https://doi.org/10.1038/d41586-023-00056-7openalex-snapshot
Abstracts written by ChatGPT fool scientists
inferredcites →https://doi.org/10.1038/d41586-023-00107-zopenalex-snapshot
ChatGPT listed as author on research papers: many scientists disapprove
inferredcites →https://doi.org/10.1038/d41586-023-00500-8openalex-snapshot
How Nature readers are using ChatGPT
inferredcites →https://doi.org/10.1038/s41467-024-45914-8openalex-snapshot
Extracting accurate materials data from research papers with conversational language models and prompt engineering
inferredcites →https://doi.org/10.1038/s41467-024-53190-9openalex-snapshot
Generalizable and automated classification of TNM stage from pathology reports with external validation
inferredcites →https://doi.org/10.1038/s41746-023-00819-6openalex-snapshot
Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers
inferredcites →https://doi.org/10.1038/s41746-024-01029-4openalex-snapshot
Prompt engineering in consistency and reliability with the evidence-based guideline for LLMs
inferredcites →https://doi.org/10.1038/s43856-021-00008-0openalex-snapshot
A BERT model generates diagnostically relevant semantic embeddings from pathology synopses with active learning
inferredcites →https://doi.org/10.1053/j.gastro.2023.12.019openalex-snapshot
A Comparison of a Large Language Model vs Manual Chart Review for the Extraction of Data Elements From the Electronic Health Record
inferredcites →https://doi.org/10.1053/j.semdp.2023.02.006openalex-snapshot
AI in Pathology: What could possibly go wrong?
inferredcites →https://doi.org/10.1055/a-2264-5631openalex-snapshot
Improving the use of LLMs in radiology through prompt engineering: from precision prompts to zero-shot learning
inferredcites →https://doi.org/10.1056/aioa2400181openalex-snapshot
Retrieval-Augmented Generation–Enabled GPT-4 for Clinical Trial Screening
inferredcites →https://doi.org/10.1093/ajcp/aqad158openalex-snapshot
Evaluation of ChatGPT pathology knowledge using board-style questions
inferredcites →https://doi.org/10.1093/bjd/ljae040openalex-snapshot
Ethical considerations for artificial intelligence in dermatology: a scoping review
inferredcites →https://doi.org/10.1093/clinchem/hvad058openalex-snapshot
Assessing the Accuracy and Clinical Utility of ChatGPT in Laboratory Medicine
inferredcites →https://doi.org/10.1093/clinchem/hvad106openalex-snapshot
AI Chatbots in Clinical Laboratory Medicine: Foundations and Trends
inferredcites →https://doi.org/10.1093/jalm/jfad058openalex-snapshot
GPT-4 Underperforms Experts in Detecting IV Fluid Contamination
inferredcites →https://doi.org/10.1093/jamia/ocaa149openalex-snapshot
Using informatics to improve cancer surveillance
inferredcites →https://doi.org/10.1097/gox.0000000000005471openalex-snapshot
Can AI Think Like a Plastic Surgeon? Evaluating GPT-4’s Clinical Judgment in Reconstructive Procedures of the Upper Extremity
inferredcites →https://doi.org/10.1097/hep.0000000000000834openalex-snapshot
Development of a liver disease–specific large language model chat interface using retrieval-augmented generation
inferredcites →https://doi.org/10.1097/jcma.0000000000001071openalex-snapshot
ChatGPT’s innovative application in blood morphology recognition
inferredcites →https://doi.org/10.1097/pap.0000000000000406openalex-snapshot
Application of ChatGPT in Routine Diagnostic Pathology: Promises, Pitfalls, and Potential Future Directions
inferredcites →https://doi.org/10.1101/2023.08.03.23293618openalex-snapshot
Benchmark Pathology Report Text Corpus with Cancer Type Classification
inferredcites →https://doi.org/10.1101/2023.10.01.23296400openalex-snapshot
Evaluation of ChatGPT’s Pathology Knowledge using Board-Style Questions
inferredcites →https://doi.org/10.1101/2023.11.08.23298252openalex-snapshot
Development of a privacy preserving large language model for automated data extraction from thyroid cancer pathology reports
inferredcites →https://doi.org/10.1101/2024.02.07.24302444openalex-snapshot
Comparison of Prompt Engineering and Fine-Tuning Strategies in Large Language Models in the Classification of Clinical Notes
inferredcites →https://doi.org/10.1109/bigdata59044.2023.10386743openalex-snapshot
Multimodal Large Language Models: A Survey
inferredcites →https://doi.org/10.1109/jbhi.2021.3062322openalex-snapshot
Limitations of Transformers on Clinical Text Classification
inferredcites →https://doi.org/10.1111/his.15071openalex-snapshot
Why do errors arise in artificial intelligence diagnostic tools in histopathology and how can we minimize them?
inferredcites →https://doi.org/10.1111/pcn.13588openalex-snapshot
The now and future of ChatGPT and GPT in psychiatry
inferredcites →https://doi.org/10.1111/trf.17385openalex-snapshot
ChatGPT in transfusion medicine: A new frontier for patients?
inferredcites →https://doi.org/10.1111/trf.17526openalex-snapshot
Would doctors dream of electric blood bankers? Large language model‐based artificial intelligence performs well in many aspects of transfusion medicine
inferredcites →https://doi.org/10.1136/jcp-2023-209304openalex-snapshot
Accuracy of GPT-4 in histopathological image detection and classification of colorectal adenomas
inferredcites →https://doi.org/10.1145/3568813.3600139openalex-snapshot
Exploring the Responses of Large Language Models to Beginner Programmers’ Help Requests
inferredcites →https://doi.org/10.1186/s13000-023-01375-zopenalex-snapshot
Artificial intelligence in diagnostic pathology
inferredcites →https://doi.org/10.1186/s13000-024-01464-7openalex-snapshot
Challenges and barriers of using large language models (LLM) such as ChatGPT for diagnostic medicine with a focus on digital pathology – a recent scoping review
inferredcites →https://doi.org/10.12688/mep.19732.2openalex-snapshot
Accelerating medical education with ChatGPT: an implementation guide
inferredcites →https://doi.org/10.1609/aaai.v38i5.28308openalex-snapshot
PathAsst: A Generative Foundation AI Assistant towards Artificial General Intelligence of Pathology
inferredcites →https://doi.org/10.18653/v1/2023.findings-emnlp.337openalex-snapshot
CodeTransOcean: A Comprehensive Multilingual Benchmark for Code Translation
inferredcites →https://doi.org/10.18653/v1/d19-1410openalex-snapshot
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
inferredcites →https://doi.org/10.21203/rs.3.rs-3035772/v1openalex-snapshot
Improving Information Extraction from Pathology Reports using Named Entity Recognition
inferredcites →https://doi.org/10.21203/rs.3.rs-3914899/v1openalex-snapshot
A comparative study of zero-shot inference with large language models and supervised modeling in breast cancer pathology classification
inferredcites →https://doi.org/10.2196/27210openalex-snapshot
A Question-and-Answer System to Extract Data From Free-Text Oncological Pathology Reports (CancerBERT Network): Development Study
inferredcites →https://doi.org/10.2196/48145openalex-snapshot
OpenDeID Pipeline for Unstructured Electronic Health Record Text Notes Based on Rules and Transformers: Deidentification Algorithm Development and Validation Study
inferredcites →https://doi.org/10.2196/50174openalex-snapshot
ChatGPT in Medical Education: A Precursor for Automation Bias?
inferredcites →https://doi.org/10.2196/50638openalex-snapshot
Prompt Engineering as an Important Emerging Skill for Medical Professionals: Tutorial
inferredcites →https://doi.org/10.2196/50945openalex-snapshot
The Role of Large Language Models in Medical Education: Applications and Implications
inferredcites →https://doi.org/10.2196/51229openalex-snapshot
Comparisons of Quality, Correctness, and Similarity Between ChatGPT-Generated and Human-Written Abstracts for Basic Research: Cross-Sectional Study
inferredcites →https://doi.org/10.2196/51391openalex-snapshot
Learning to Make Rare and Complex Diagnoses With Generative AI Assistance: Qualitative Study of Popular Large Language Models
inferredcites →https://doi.org/10.24875/gmm.m23000811openalex-snapshot
ChatGPT: opportunities and risks in the fields of medical care, teaching, and research
inferredcites →https://doi.org/10.26635/6965.6122openalex-snapshot
The impact of AI and ChatGPT on research reporting
inferredcites →https://doi.org/10.3389/frai.2020.524339openalex-snapshot
Artificial Intelligence: A Clarification of Misconceptions, Myths and Desired Status
inferredcites →https://doi.org/10.3390/computers12080153openalex-snapshot
Impact of the Implementation of ChatGPT in Education: A Systematic Review
inferredcites →https://doi.org/10.3390/dermatopathology11010009openalex-snapshot
Skin and Syntax: Large Language Models in Dermatopathology
inferredcites →https://doi.org/10.3390/digital4010005openalex-snapshot
Effectiveness of ChatGPT in Coding: A Comparative Analysis of Popular Large Language Models
inferredcites →https://doi.org/10.3857/roj.2023.00633openalex-snapshot
Developing prompts from large language model for extracting clinical information from pathology and ultrasound reports in breast cancer
inferredcites →https://doi.org/10.4103/jpi.jpi_52_21openalex-snapshot
Comparison of machine-learning algorithms for the prediction of Current Procedural Terminology (CPT) codes from pathology reports
inferredcites →https://doi.org/10.4230/lipics.giscience.2023.43openalex-snapshot
Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics
inferredcites →https://doi.org/10.48550/arxiv.2103.00020openalex-snapshot
Learning Transferable Visual Models From Natural Language Supervision
inferredcites →https://doi.org/10.48550/arxiv.2202.03432openalex-snapshot
Inference of captions from histopathological patches
inferredcites →https://doi.org/10.48550/arxiv.2205.06885openalex-snapshot
PathologyBERT -- Pre-trained Vs. A New Transformer Language Model for Pathology Domain
inferredcites →https://doi.org/10.48550/arxiv.2212.14034openalex-snapshot
Cramming: Training a Language Model on a Single GPU in One Day
inferredcites →https://doi.org/10.52202/068431-1613openalex-snapshot
Large Language Models Are Zero-Shot Reasoners
inferredcites →https://doi.org/10.5858/arpa.2023-0296-oaopenalex-snapshot
Assessment of Pathology Domain-Specific Knowledge of ChatGPT and Comparison to Human Performance
inferredcites →https://doi.org/10.7717/peerj-cs.1593openalex-snapshot
Comparing neural sentence encoders for topic segmentation across domains: not your typical text similarity task
inferredcites →https://doi.org/10.7717/peerj-cs.1888openalex-snapshot
exKidneyBERT: a language model for kidney transplant pathology reports and the crucial role of extended vocabularies
inferredcites →https://doi.org/10.7759/cureus.35237openalex-snapshot
Applicability of ChatGPT in Assisting to Solve Higher Order Problems in Pathology
inferredcites →https://doi.org/10.7759/cureus.37587openalex-snapshot
Synchronous Bilateral Breast Cancer: A Case Report Piloting and Evaluating the Implementation of the AI-Powered Large Language Model (LLM) ChatGPT
inferredcites →https://doi.org/10.7759/cureus.37589openalex-snapshot
Evaluation of ChatGPT's Capabilities in Medical Report Generation
inferredcites →https://doi.org/10.7759/cureus.39238openalex-snapshot
High Rates of Fabricated and Inaccurate References in ChatGPT-Generated Medical Content
inferredcites →https://doi.org/10.7759/cureus.40135openalex-snapshot
Radiology Gets Chatty: The ChatGPT Saga Unfolds
inferredcites →https://doi.org/10.7759/cureus.43861openalex-snapshot
Large Language Models in Hematology Case Solving: A Comparative Study of ChatGPT-3.5, Google Bard, and Microsoft Bing
inferredcites →https://doi.org/10.7759/cureus.50629openalex-snapshot
ChatGPT Performance in Diagnostic Clinical Microbiology Laboratory-Oriented Case Scenarios
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/ase.70209openalex-snapshot
Enhancing AI 's ability to interpret histological images with prompt engineering: An evaluation of GPT ‐4o performance
inferred← citeshttps://doi.org/10.1002/cncy.70134openalex-snapshot
Leveraging large language models to enhance cytopathology: Opportunities, challenges, and future directions; a practical review from the ASC Clinical Practice Committee
inferred← citeshttps://doi.org/10.1002/ddr.70182openalex-snapshot
Exploring Artificial Intelligence's Potential to Enhance Conventional Anticancer Drug Development
inferred← citeshttps://doi.org/10.1002/eng2.70365openalex-snapshot
Systematic Literature Review of LLM‐Large Language Model in Medical: Digital Health, Technology and Applications
inferred← citeshttps://doi.org/10.1002/ima.70409openalex-snapshot
Evaluating Clinical Reasoning and Diagnostic Performance of Multimodal Large Language Models in Benign Hematology—A Comparative Analysis
inferred← citeshttps://doi.org/10.1002/jemt.70128openalex-snapshot
Accuracy of Automatic Quantitative Analysis of Pathological Tissue Images Using ChatGPT Data Analyst: Comparison With Semi‐Automated Analysis in an MC38 Mouse Liver Metastasis Model
inferred← citeshttps://doi.org/10.1007/s12020-024-04066-xopenalex-snapshot
Assessing the feasibility of ChatGPT-4o and Claude 3-Opus in thyroid nodule classification based on ultrasound images
inferred← citeshttps://doi.org/10.1007/s12105-026-01929-9openalex-snapshot
Diagnostic Performance of Contemporary Large Language Models on Free-Text Histopathologic Descriptions in Oral and Maxillofacial Pathology
inferred← citeshttps://doi.org/10.1016/b978-0-443-40383-5.00005-4openalex-snapshot
Large language models utilizing digital pathology workflows: Impact on pathology practice
inferred← citeshttps://doi.org/10.1016/b978-0-443-40383-5.00013-3openalex-snapshot
Generative artificial intelligence technologies in pathology
inferred← citeshttps://doi.org/10.1016/j.acra.2024.11.053openalex-snapshot
Leveraging Large Language Models in Radiology Research: A Comprehensive User Guide
inferred← citeshttps://doi.org/10.1016/j.anndiagpath.2026.152677openalex-snapshot
On the current clinical applicability of artificial intelligence in pathology: An evidence-informed clinical readiness review
inferred← citeshttps://doi.org/10.1016/j.annpat.2025.12.011openalex-snapshot
Étude des performances des agents conversationnels dans l’interprétation des descriptions textuelles de lésions en anatomie et cytologie pathologiques
inferred← citeshttps://doi.org/10.1016/j.asoc.2026.115210openalex-snapshot
Two-level breast tumor classification with multi-view imaging and pathology-aware large language models: A fuzzy KNN and ensemble learning framework
inferred← citeshttps://doi.org/10.1016/j.compmedimag.2026.102704openalex-snapshot
A multi-expert deep learning framework with LLM-guided arbitration for multimodal histopathology prediction
inferred← citeshttps://doi.org/10.1016/j.modpat.2025.100802openalex-snapshot
Characterizing Interpretive and Diagnostic Competency Development in Pathology Training
inferred← citeshttps://doi.org/10.1016/j.oor.2025.100781openalex-snapshot
LeChat in oral pathology: Assessment of its immunohistochemical marker selection accuracy in salivary gland tumors
inferred← citeshttps://doi.org/10.1038/s44401-025-00013-8openalex-snapshot
Synoptic reporting by summarizing cancer pathology reports using large language models
inferred← citeshttps://doi.org/10.1093/9780197807309.003.0004openalex-snapshot
Overview of Artificial Intelligence in Industrial-Organizational Psychology
inferred← citeshttps://doi.org/10.1093/ajcp/aqaf091openalex-snapshot
Systematic comparison of GPT models for the analysis of pathology reports in a low-resource language: A case study for Turkish
inferred← citeshttps://doi.org/10.1101/2025.09.02.673797openalex-snapshot
Query Augmented Generation (QAG) from the Genomic Data Commons for Accurate Variant Statistics
inferred← citeshttps://doi.org/10.1109/ectidamtncon64748.2025.10961969openalex-snapshot
Evaluating Large Language Models: Challenges, Limitations, and Future Directions
inferred← citeshttps://doi.org/10.1109/fllm63129.2024.10852445openalex-snapshot
From Pixels to Paragraphs: Extraction of Text from Medical Reports using LLMs, Systematic Literature Review
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11460938openalex-snapshot
TaRA: Token-Aware Recalibration and Attention for Explainable Pathology Reports Classification
inferred← citeshttps://doi.org/10.1109/iccrtee64519.2025.11052974openalex-snapshot
Advanced Curriculum-Based Abstractive Text Summarization with T5 Language Model and Reinforcement Learning
inferred← citeshttps://doi.org/10.1111/ajd.70034openalex-snapshot
The Capabilities of Large Language Models in Extracting Unstructured Data From Histopathology Reports
inferred← citeshttps://doi.org/10.1145/3786334openalex-snapshot
Advances, Evaluation, and Explainability of Large Language Models in Healthcare: A Systematic Review
inferred← citeshttps://doi.org/10.1177/03009858251343215openalex-snapshot
Natural language processing in veterinary pathology: A commentary on opportunities, challenges, and future directions
inferred← citeshttps://doi.org/10.1177/20552076251346703openalex-snapshot
Harnessing GPT-4 for automated error detection in pathology reports: Implications for oncology diagnostics
inferred← citeshttps://doi.org/10.1186/s12909-025-07761-zopenalex-snapshot
AI-powered platform revolutionizing blood cell morphology education for medical students
inferred← citeshttps://doi.org/10.1186/s41043-025-00947-7openalex-snapshot
Areas of research focus and trends in the research on the application of AIGC in healthcare
inferred← citeshttps://doi.org/10.1590/1806-9282.20251303openalex-snapshot
Social media use and perceptions among pathologists in Turkey: a national survey
inferred← citeshttps://doi.org/10.17798/bitlisfen.1787094openalex-snapshot
Interactive Exploratory Data Analysis with R and Shiny: An LLM-Supported Explanation and Prediction Platform
inferred← citeshttps://doi.org/10.2196/73605openalex-snapshot
Large Language Model Versus Manual Review for Clinical Data Curation in Breast Cancer: Retrospective Comparative Study
inferred← citeshttps://doi.org/10.3390/app16084015openalex-snapshot
Conditional Generative AI in Oncology Diagnostics
inferred← citeshttps://doi.org/10.3390/bioengineering11101043openalex-snapshot
GPT-Driven Radiology Report Generation with Fine-Tuned Llama 3
inferred← citeshttps://doi.org/10.3390/bioengineering11111134openalex-snapshot
Revolutionizing Cytology and Cytopathology with Natural Language Processing and Chatbot Technologies: A Narrative Review on Current Trends and Future Directions
inferred← citeshttps://doi.org/10.3390/bioengineering12020168openalex-snapshot
Automated Extraction of Key Entities from Non-English Mammography Reports Using Named Entity Recognition with Prompt Engineering
inferred← citeshttps://doi.org/10.3390/diagnostics16111644openalex-snapshot
Digital Registrar: A Schema-First Framework for Multi-Cancer Privacy-Preserving Pathology Abstraction via Local LLMs
inferred← citeshttps://doi.org/10.3390/jimaging12030100openalex-snapshot
The Augmented Cytopathologist: A Conceptual Exploratory Narrative Review on Immersive and Vision–Language Models Tools in Digital Pathology
inferred← citeshttps://doi.org/10.3390/pr13092680openalex-snapshot
A Comparative Review of Large Language Models in Engineering with Emphasis on Chemical Engineering Applications
inferred← citeshttps://doi.org/10.3390/sym16040478openalex-snapshot
Floating-Point Embedding: Enhancing the Mathematical Comprehension of Large Language Models
inferred← citeshttps://doi.org/10.4018/979-8-3693-6690-5.ch008openalex-snapshot
Transforming Financial Decision-Making
inferred← citeshttps://doi.org/10.4018/979-8-3693-6690-5.ch010openalex-snapshot
Transforming Financial Decision-Making
inferred← citeshttps://doi.org/10.5858/arpa.2024-0215-raopenalex-snapshot
Generative Artificial Intelligence in Anatomic Pathology
inferred← citeshttps://doi.org/10.5958/0974-083x.2024.00048.2openalex-snapshot
Navigating the impact of artificial intelligence (AI) technologies on medical academic practices: Opportunities and challenges
inferred← citeshttps://doi.org/10.7759/cureus.110466openalex-snapshot
Large Language Model Morphology-to-Genotype Inference for Microsatellite Instability From Colorectal Carcinoma Histopathology Reports
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.