Skip to main content

Transforming Medicine: AI in Digital Anatomic Pathology, Radiology, and Laboratory Medicine

Edited by:

Professor Fernando Augusto Soares, MD, PhD, D'Or Pathology, University of São Paulo, Brazil
Isabela Werneck da Cunha, MD, PhD, Rede D'Or São Luiz, D’Or Institute for Research and Education, Brazil
Daniel Araujo Ferraz, MD, PhD, Rede D'Or São Luiz, D’Or Institute for Research and Education, Brazil
Washington Luis Conrado dos Santos, MD, PhD, Fundação Oswaldo Cruz, Brazil

Submission Status: Open   |   Submission Deadline: 12 November 2025 


Smart operating theatreSurgical and Experimental Pathology is calling for submissions to our Collection on Transforming Medicine: AI in Digital Anatomic Pathology, Radiology, and Laboratory Medicine. We invite researchers to submit original research articles, case reports and reviews, highlighting innovative research that bridges molecular investigation and clinical practice, ultimately enhancing healthcare outcomes through technology and collaboration.


Image credit: © [M] ipopba / stock.adobe.com 

New Content ItemThis Collection supports and amplifies research related to SDG 3: Good Health & Well-Being.

Meet the Editors

Back to top

Professor Fernando Augusto Soares, MD, PhD, D'Or Pathology, University of São Paulo, Brazil

Photo of Professor Fernando Augusto SoaresDr Fernando Augusto Soares is a Full Professor at the University of São Paulo, Brazil, and Head of the Department of Anatomic Pathology at D'Or Hospitals Network, São Paulo. He received his MD from the Faculty of Medicine at Santos and PhD from the University of São Paulo at Ribeirão Preto. He has extensive experience in pathology and is a senior investigator in several grants which have resulted in more than 450 peer-reviewed scientific papers in international journals. He is former president of both the Brazilian Society of Pathology and the Latin American Society of Pathology.

Isabela Werneck da Cunha, MD, PhD, Rede D'Or São Luiz, D’Or Institute for Research and Education, Brazil

Photo of Isabela Werneck da CunhaDr Isabela Werneck da Cunha is a researcher at the D’Or Institute for Research and Education and medical coordinator of pathology at Rede D'Or-São Luiz in São Paulo, Brazil. She holds an MD from the Faculty of Medical Sciences of Minas Gerais, completed her medical residency in Pathological Anatomy at the A.C. Camargo Cancer Center in São Paulo, and earned a PhD in oncology from the Fundação Antônio Prudente. Her research focuses on sarcomas, uropathology, molecular classifiers of neoplasms, and molecular pathology applied to diagnosis.

Daniel Araujo Ferraz, MD, PhD, Rede D'Or São Luiz, D’Or Institute for Research and Education, Brazil

Photo of Daniel Araujo FerrazDr Daniel Araujo Ferraz is a researcher at the D’Or Institute for Research and Education and a clinician at Rede D'Or São Luiz, São Paulo, Brazil. He earned his MD from the University of Pernambuco and his PhD from the University of São Paulo, with further training at Johns Hopkins University and University College London-Moorfield’s Eye Hospital. With over two decades of experience, he leads research in ultra-high-resolution ophthalmic imaging and serves as Chief of AI at Rede D'Or, integrating AI into healthcare to improve diagnostics and treatment.

Washington Luis Conrado dos Santos, MD, PhD, Fundação Oswaldo Cruz, Brazil

Photo of Washington Luis Conrado dos SantosDr Washington Luis Conrado dos Santos is a researcher at Fundação Oswaldo Cruz and Assistant Professor of Pathology at the Faculty of Medicine of Bahia, Brazil. He received his MD from the Federal University of Bahia and his PhD from King’s College, University of London, UK. He coordinates the program for Diagnostic Development in Hepatic and Renal Pathology at Fundação Oswaldo Cruz, and is responsible for diagnosis, specialist training, and a continuing education program in Nephropathology. His research focuses on inflammation, tissue remodeling, and computational pathology.

About the Collection

Smart operating theatreThe ongoing advancement of our collective understanding in the integration of artificial intelligence (AI) within digital anatomic pathology, radiology, and laboratory medicine is essential for transforming healthcare delivery and outcomes. By harnessing AI, we can enhance diagnostic accuracy, optimize treatment plans, and facilitate precision medicine that customizes interventions to individual patients. Significant progress has been made in areas such as automated image analysis, genomic data interpretation, and predictive modeling, all of which have demonstrated the potential to revolutionize patient care.

As we look to the future, continued research in this field could lead to breakthroughs such as fully integrated AI systems that not only assist in diagnosis but also predict disease progression and response to therapy. The implications extend beyond individual patient care, potentially impacting public health initiatives and resource allocation. 

We invite researchers to contribute to this Collection by submitting original research articles, case reports and reviews. Topics of interest include but are not limited to:

•    AI applications in pathology 
•    Enhancing diagnosis through digital pathology 
•    Genomic aspects in precision medicine 
•    Integrating AI with radiology 
•    Laboratory medicine innovations 
•    Predictive analytics in healthcare 
•    Ethical considerations in AI use 
•    Case studies showcasing AI impact


Image credit: © [M] ipopba / stock.adobe.com

There are currently no articles in this collection.

Submission Guidelines

Back to top

This Collection welcomes submission of original research articles, case reports and reviews. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. 

Articles for this Collection should be submitted via our submission system, Snapp. Please, select the appropriate Collection title “Transforming Medicine: AI in Digital Anatomic Pathology, Radiology, and Laboratory Medicine" under the “Details” tab during the submission stage.

Articles will undergo the journal’s standard peer-review process and are subject to all the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer-review process. The peer-review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.