Hitesh Dave: The age of Computational Pathology

Daniel Truhn is a physicist, imaging scientist, and clinical radiologist with a dedicated focus on machine learning and MRI. He is currently a professor in University Hospital Aachen, Germany bringing a series of work on Large Language Models for Radiology reporting.

Drew Williamson is a board certified pathologist who is focusing on pathology AI. Drew is part of the Emory Empathetic AI for Health Institute and the AI.Humanity initiative at Emory University, Atlanta, USA. We will hear all about his exciting research on clinical translation of Pathology AI. A multimodal generative AI copilot for human pathology

Jayashree kalpathy Cramer is the chief of the Division of Artificial Medical Intelligence in Ophthalmology at the University of Colorado (CU) School of Medicine. Jayashree is focusing on translational artificial intelligence (AI) for effective patient care practices at the Sue Anschutz-Rodgers Eye Center.

Professor Randy Ellis is a legendary figure within the computer-assisted orthopedic surgery community. His primary appointment is in the School of Computing with additional appointments at the Mechanical and Materials Engineering, Surgery, and Biomedical and Molecular Sciences at the Queen's University, Canada.  He has been a Fellow of several organizations such as IEEE, American Society for Mechanical Engineering (ASME) etc.

Uta Schmidt-Strassburer is the scientific director of the Advanced Oncology study program at the Ulm university Germany. She is also a fellow podcaster, running the bilingual "caring and sharing" podcast on advanced oncology. Over the years, Uta has developed a critical appreciation towards oncology AI.

Juan Verde is a Digestive and hepato-biliary-pancreatic Surgeon by training with a deep passion for surgical AI. Juan is currently working as a full-time Research Associate at the Institute of Image-Guided Surgery in Strasbourg, France.

Michael Levin is a Distinguished Professor in the Biology at Tufts. Mike also serves as the director of the Allen Discovery Center at Tufts and the Tufts Center for Regenerative and Developmental Biology. He is a computer scientist by training, looking at some of the most fundamental questions of biology such as pattern formation, embryogenesis and regeneration. Links to specific ideas and information 1. https://drmichaellevin.org/resources/software.html 2. https://drmichaellevin.org/resources/levinbot.html 3.  https://drmichaellevin.org/presentations/ 4. https://drmichaellevin.org/research/

Maciej Mazurowski is an Associate Professor of Radiology, Electrical and Computer Engineering, Biostatistics and Bioinformatics, and Computer Science at Duke University. He is also the Scientific Director of the Duke Center for Artificial Intelligence in Radiology and the Director of Radiology Imaging at Duke AI Health. His interest includes domain adaptation and generalization, anomaly detection, and class imbalance in Medical Deep Learning.

Professor Yiyu Shi, is a professor of Computer Science and Engineering at the University of Notre dam, USA. He is also a visiting scientist at Boston Children’s Hospital.  His research focuses on sustainable computing. The importance of resource awareness in artificial intelligence for healthcare

This episode is about our take on how to review well in MICCAI and related conferences, both for the reviewers and the meta reviewers.