AI-ready Healthcare

Blogpost on broader design space: https://lnkd.in/p/dRU6tVuJ
Neural Tangent Kernel for Federated Learning:
https://lnkd.in/p/dvC56MZh
BMVC paper arxiv:
https://arxiv.org/abs/2608.12108
FedNCA paper:
https://link.springer.com/chapter/10.1007/978-3-032-05185-1_17

Keynote of MICCAI26 Workshop CLiMeM

LinkedIn posts on Pathology AI

1. https://www.linkedin.com/pulse/payers-dont-pay-ai-pathology-tests-anirban-mukhopadhyay-sjyse/

2. https://www.linkedin.com/pulse/pathology-ai-doesnt-pay-slide-reading-pathologist-mukhopadhyay-azvge/

3. https://www.linkedin.com/pulse/big-pharmas-ai-pipeline-only-fast-preclinical-tox-mukhopadhyay-fanke/

1. Getting reimbursed for Radiology AI Screening: https://www.linkedin.com/pulse/getting-reimbursed-radiology-ai-screening-anirban-mukhopadhyay-6z5ve/

2. Making Money with Mammography AI: https://www.linkedin.com/pulse/making-money-mammography-ai-anirban-mukhopadhyay-28yre/

1. Getting reimbursed for Radiology AI Screening: https://www.linkedin.com/pulse/getting-reimbursed-radiology-ai-screening-anirban-mukhopadhyay-6z5ve/

2. Making Money with Mammography AI: https://www.linkedin.com/pulse/making-money-mammography-ai-anirban-mukhopadhyay-28yre/

3. Payers don't pay for AI pathology. They pay for tests: https://www.linkedin.com/pulse/payers-dont-pay-ai-pathology-tests-anirban-mukhopadhyay-sjyse/

Jeya Maria Jose is a Senior Researcher at Microsoft Research. His research spans Computer Vision, Machine Learning, and NLP with an emphasis on Healthcare. In Microsoft Research, Jose is currently building multi-modal AI systems that harness large-scale real-world data to accelerate biomedical discoveries. GigaTIME Blog

On the 111th episode, our guest is Moritz Fuchs, a researchers from the Bosch Health Campus, Stuttgart Germany. Moritz Fuchs is an expert on Out-of-Distribution quantification in Medical Imaging.

Vamsi Velcheti is the Chief of Hematology and Oncology and Florida Department of Health Chair of Cancer Research at Mayo Clinic Florida, USA. An expert in lung cancer, Vamsi leads a multidisciplinary thoracic oncology program specializing in AI-driven predictive models,  biomarker-driven targeted therapies, immuno-oncology, and early-phase drug development.

Sara Moccia is an Associate Professor in University of Chieti – Pescara, Italy. Sara uses deep learning for the analysis of a wide range of medical images to support clinicians during the actual clinical and surgical procedures.

AirCare

Hari Trivedi is an associate professor in Radiology and Imaging Sciences at Emory University, USA. Hari is the co-director of the Health Innovation and Translational Informatics (HITI) lab where he works on machine learning in radiology.

Real-world performance evaluation of a commercial deep learning model for intracranial hemorrhage detection

AI in Action: A Road Map From the Radiology AI Council for Effective Model Evaluation and Deployment