AI HEALTH
Explore how artificial intelligence is revolutionizing healthcare with innovative solutions, predictive analytics, and cutting-edge advancements in patient care and medical research.
Episode 24: Radiology: AI Roundtable – Starting an AI Research Lab
Ali Tejani hosts a discussion with Drs. Kirti Magudia, Andreas Rauschecker, and Paul Yi about their research lab beginnings. Source...
Read moreRadiology AI Podcasts | RSNA: Episode 23: NLP/Transformer Models for Radiology
Oct 7, 2022In this episode Drs Paul Yi, Ali Tejani, and Jae Ho Sohn diccuss the topic of bidirectional encoder...
Read moreRadiology AI Podcasts | RSNA: Episode 22: Re-Release Interview with Kaggle Grandmaster Ian Pan, MD
Sep 9, 2022In honor for the RSNA C-Spine Kaggle competition, here is a throwback episode when host Paul Ye interviewed...
Read moreEpisode 21: Radiology-AI Software Developer & Real World Clinical Deployment of AI for Kidney Cyst Segmentation
Radiology: AI podcast host Dr. Paul Yi interviews Akshay Goel, MD – Board-Certified Radiologist and Senior Machine Learning Scientist at...
Read moreRadiology AI Podcasts | RSNA: Episode 20: Ethics of AI in Radiology and Medicine
Jun 17, 2022Dr. Paul Yi interivews Drs. Christoph Lehmann and John McGreevey about the ethics of AI in radiology and...
Read moreEpisode 19: Radiology: AI Journal Reflections and Social Media Team Update
Charles Kahn, Jr., MD, MS, Hesham ElHalawani, MD, and Paul Yi, MD sit down to discuss the growth of the...
Read moreEpisode 18: RSNA Fireside Chat
Live recording from the RSNA Annual Meeting 2021 for the Radiology: AI journals. Join Drs. Paul Yi and Dania Daye...
Read moreEpisode 17:Impact of Medical Image Processing on Downstream AI Performance
Dr. Paul Yi interviews Bhavik Patel Senior Associate Consultant Associate Professor Department of Radiology Director of AI on recent article...
Read moreEpisode 16 : Perspectives on radiology AI editorial process, direction of the field, and the importance of diversity in AI.
Dr. Paul Yi interviews Despina Kontos Matthew J. Wilson Associate Professor of Research Radiology II Associate Vice-Chair for Research University...
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Deep learning method for malaria parasite evaluation from microscopic blood smear
Malaria is a life-threatening disease caused by the parasite Plasmodium, which uses the female Anopheles mosquitoes as a carrier. The...
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Rethinking mitosis detection: Towards diverse data and feature representation for better domain generalization
Mitosis can reflect cell proliferation which is a crucial indicator of cancer grading and prognosis . Typically, pathologists count the...
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Utilizing semantically enhanced self-supervised graph convolution and multi-head attention fusion for herb recommendation
Traditional Chinese Medicine (TCM), rooted in traditional Chinese culture and built on philosophical concepts such as Yin-Yang and the Five...
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Histopathology image classification based on semantic correlation clustering domain adaptation
Cancer poses a threat to global human health and is one of the leading causes of human death . In...
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Digital phenotyping for mental health based on data analytics: A systematic literature review
Mental health is a basic human right, impacting global general health and well-being. The estimated cost of mental health conditions...
Read moreIdenBAT: Disentangled representation learning for identity-preserved brain age transformation
Brain aging represents an intrinsic biological characterized by gradual and complex morphological changes within the human brain. At the biological...
Read moreVoice analysis in Parkinson’s disease – a systematic literature review
Author links open overlay panelDaniela Xavier a, Virginie Felizardo a b, Beatriz Ferreira c, Henriques Zacarias a b d, Mehran...
Read moreDeep learning based estimation of heart surface potentials
Author links open overlay panelTiantian Wang a, Joël M.H. Karel a, Niels Osnabrugge a, Kurt Driessens a, Job Stoks b,...
Read moreEditorial Board
Publication date: May 2025Source: Artificial Intelligence in Medicine, Volume 163Author(s): Source link
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Joint segmentation of retinal layers and fluid lesions in optical coherence tomography with cross-dataset learning
Age-related macular degeneration (AMD) is the leading cause of irreversible vision loss in the elderly population of industrialized nations ....
Read moreDRExplainer: Quantifiable interpretability in drug response prediction with directed graph convolutional network
The success of drug development significantly influences advancements in modern medicine . In modern medical practice, accurately predicting an individual’s...
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