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William Lotter

Showing results (1-10 of 34) with videos related to

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Nature Communications|August 28, 2024
Acquisition parameters influence AI recognition of race in chest x-rays and mitigating these factors reduces underdiagnosis biasWilliam Lotter
The Oncologist|October 11, 2023
Toward More Accurate Preoperative Diagnosis of Vein Wall Invasion in Renal Cell Carcinoma Using Computer VisionValisha Shah, William Lotter
Hepatology (Baltimore, Md.)|November 17, 2025
Radiomics beyond the visible-Decoding tumor heterogeneity to guide combination therapy of intermediate-stage HCCWilliam Lotter, Julius Chapiro
Radiology. Artificial Intelligence|September 24, 2025
Distinguishing between Rigor and Transparency in FDA Marketing Authorization of AI-enabled Medical DevicesAbdul Rahman Diab, William Lotter
JAMA Dermatology|June 11, 2025
Prognostication System for Squamous Cell Carcinoma Using Retrieval Augmented Generation-Enabled Large Language ModelEmily S Ruiz, William Lotter
Journal of Clinical Pathology|December 13, 2025
Towards generalisable and equitable artificial intelligence in pathologyVikram Deshpande, Monika Vyas, William Lotter
Nature Machine Intelligence|July 22, 2021
A neural network trained for prediction mimics diverse features of biological neurons and perceptionWilliam Lotter, Gabriel Kreiman, David Cox
NPJ Digital Medicine|March 27, 2024
The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretationStephanie L McNamara, Paul H Yi, William Lotter
Journal of Medical Screening|August 12, 2024
Simulated arbitration of discordance between radiologists and artificial intelligence interpretation of breast cancer screening mammogramsM Luke Marinovich, William Lotter, Andrew Waddell, et al.
The Journal of Investigative Dermatology|November 16, 2025
Comparative analysis of staging and metastatic risk stratification systems for cutaneous squamous cell carcinomaMonika Bapna, Emily E Karn, William Lotter, et al.
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
Nature Communications|August 28, 2024
Acquisition parameters influence AI recognition of race in chest x-rays and mitigating these factors reduces underdiagnosis biasWilliam Lotter
The Oncologist|October 11, 2023
Toward More Accurate Preoperative Diagnosis of Vein Wall Invasion in Renal Cell Carcinoma Using Computer VisionValisha Shah, William Lotter
Hepatology (Baltimore, Md.)|November 17, 2025
Radiomics beyond the visible-Decoding tumor heterogeneity to guide combination therapy of intermediate-stage HCCWilliam Lotter, Julius Chapiro
Radiology. Artificial Intelligence|September 24, 2025
Distinguishing between Rigor and Transparency in FDA Marketing Authorization of AI-enabled Medical DevicesAbdul Rahman Diab, William Lotter
JAMA Dermatology|June 11, 2025
Prognostication System for Squamous Cell Carcinoma Using Retrieval Augmented Generation-Enabled Large Language ModelEmily S Ruiz, William Lotter
Journal of Clinical Pathology|December 13, 2025
Towards generalisable and equitable artificial intelligence in pathologyVikram Deshpande, Monika Vyas, William Lotter
Nature Machine Intelligence|July 22, 2021
A neural network trained for prediction mimics diverse features of biological neurons and perceptionWilliam Lotter, Gabriel Kreiman, David Cox
NPJ Digital Medicine|March 27, 2024
The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretationStephanie L McNamara, Paul H Yi, William Lotter
Journal of Medical Screening|August 12, 2024
Simulated arbitration of discordance between radiologists and artificial intelligence interpretation of breast cancer screening mammogramsM Luke Marinovich, William Lotter, Andrew Waddell, et al.
The Journal of Investigative Dermatology|November 16, 2025
Comparative analysis of staging and metastatic risk stratification systems for cutaneous squamous cell carcinomaMonika Bapna, Emily E Karn, William Lotter, et al.
Pageof 4