日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Health equity assessment of machine learning performance (HEAL): a framework and dermatology AI model case study

机器学习性能的健康公平性评估(HEAL):一个框架和皮肤病学人工智能模型案例研究

Schaekermann, Mike; Spitz, Terry; Pyles, Malcolm; Cole-Lewis, Heather; Wulczyn, Ellery; Pfohl, Stephen R; Martin, Donald Jr; Jaroensri, Ronnachai; Keeling, Geoff; Liu, Yuan; Farquhar, Stephanie; Xue, Qinghan; Lester, Jenna; Hughes, Cían; Strachan, Patricia; Tan, Fraser; Bui, Peggy; Mermel, Craig H; Peng, Lily H; Matias, Yossi; Corrado, Greg S; Webster, Dale R; Virmani, Sunny; Semturs, Christopher; Liu, Yun; Horn, Ivor; Cameron Chen, Po-Hsuan

Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning

利用深度学习,根据原发肿瘤组织学和临床病理因素预测结直肠癌淋巴结转移

Krogue, Justin D; Azizi, Shekoofeh; Tan, Fraser; Flament-Auvigne, Isabelle; Brown, Trissia; Plass, Markus; Reihs, Robert; Müller, Heimo; Zatloukal, Kurt; Richeson, Pema; Corrado, Greg S; Peng, Lily H; Mermel, Craig H; Liu, Yun; Chen, Po-Hsuan Cameron; Gombar, Saurabh; Montine, Thomas; Shen, Jeanne; Steiner, David F; Wulczyn, Ellery

750 Development of a Guideline for the Integration of Speech-Language Pathology into the Burn Multidisciplinary Team

750 制定将言语语言病理学融入烧伤多学科团队的指导方针

Baron, Jason M; Dighe, Anand S; Arnaout, Ramy; Balis, Ulysses J; Black-Schaffer, W Stephen; Carter, Alexis B; Henricks, Walter H; Higgins, John M; Jackson, Brian R; Kim, Jiyeon; Klepeis, Veronica E; Le, Long P; Louis, David N; Mandelker, Diana; Mermel, Craig H; Michaelson, James S; Nagarajan, Rakesh; Platt, Mihae E; Quinn, Andrew M; Rao, Luigi; Shirts, Brian H; Gilbertson, John R; Day, Jonathan; Zhang, Zijun; Schon, Lew; Cappel, Heather; Mohr, Tiffany

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

利用人工智能进行前列腺癌诊断和格里森分级:PANDA挑战赛

Bulten, Wouter; Kartasalo, Kimmo; Chen, Po-Hsuan Cameron; Ström, Peter; Pinckaers, Hans; Nagpal, Kunal; Cai, Yuannan; Steiner, David F; van Boven, Hester; Vink, Robert; Hulsbergen-van de Kaa, Christina; van der Laak, Jeroen; Amin, Mahul B; Evans, Andrew J; van der Kwast, Theodorus; Allan, Robert; Humphrey, Peter A; Grönberg, Henrik; Samaratunga, Hemamali; Delahunt, Brett; Tsuzuki, Toyonori; Häkkinen, Tomi; Egevad, Lars; Demkin, Maggie; Dane, Sohier; Tan, Fraser; Valkonen, Masi; Corrado, Greg S; Peng, Lily; Mermel, Craig H; Ruusuvuori, Pekka; Litjens, Geert; Eklund, Martin

Deep learning models for histologic grading of breast cancer and association with disease prognosis

用于乳腺癌组织学分级及其与疾病预后关联的深度学习模型

Jaroensri, Ronnachai; Wulczyn, Ellery; Hegde, Narayan; Brown, Trissia; Flament-Auvigne, Isabelle; Tan, Fraser; Cai, Yuannan; Nagpal, Kunal; Rakha, Emad A; Dabbs, David J; Olson, Niels; Wren, James H; Thompson, Elaine E; Seetao, Erik; Robinson, Carrie; Miao, Melissa; Beckers, Fabien; Corrado, Greg S; Peng, Lily H; Mermel, Craig H; Liu, Yun; Steiner, David F; Chen, Po-Hsuan Cameron

Interpretable survival prediction for colorectal cancer using deep learning

利用深度学习对结直肠癌进行可解释的生存预测

Wulczyn, Ellery; Steiner, David F; Moran, Melissa; Plass, Markus; Reihs, Robert; Tan, Fraser; Flament-Auvigne, Isabelle; Brown, Trissia; Regitnig, Peter; Chen, Po-Hsuan Cameron; Hegde, Narayan; Sadhwani, Apaar; MacDonald, Robert; Ayalew, Benny; Corrado, Greg S; Peng, Lily H; Tse, Daniel; Müller, Heimo; Xu, Zhaoyang; Liu, Yun; Stumpe, Martin C; Zatloukal, Kurt; Mermel, Craig H

Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images

利用组织病理学图像对肺腺癌肿瘤突变负荷进行分类的机器学习方法比较分析

Sadhwani, Apaar; Chang, Huang-Wei; Behrooz, Ali; Brown, Trissia; Auvigne-Flament, Isabelle; Patel, Hardik; Findlater, Robert; Velez, Vanessa; Tan, Fraser; Tekiela, Kamilla; Wulczyn, Ellery; Yi, Eunhee S; Mermel, Craig H; Hanks, Debra; Chen, Po-Hsuan Cameron; Kulig, Kimary; Batenchuk, Cory; Steiner, David F; Cimermancic, Peter

Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading

利用基于人工智能的格里森分级预测前列腺癌特异性死亡率

Wulczyn, Ellery; Nagpal, Kunal; Symonds, Matthew; Moran, Melissa; Plass, Markus; Reihs, Robert; Nader, Farah; Tan, Fraser; Cai, Yuannan; Brown, Trissia; Flament-Auvigne, Isabelle; Amin, Mahul B; Stumpe, Martin C; Müller, Heimo; Regitnig, Peter; Holzinger, Andreas; Corrado, Greg S; Peng, Lily H; Chen, Po-Hsuan Cameron; Steiner, David F; Zatloukal, Kurt; Liu, Yun; Mermel, Craig H

Determining breast cancer biomarker status and associated morphological features using deep learning

利用深度学习确定乳腺癌生物标志物状态及相关形态学特征

Gamble, Paul; Jaroensri, Ronnachai; Wang, Hongwu; Tan, Fraser; Moran, Melissa; Brown, Trissia; Flament-Auvigne, Isabelle; Rakha, Emad A; Toss, Michael; Dabbs, David J; Regitnig, Peter; Olson, Niels; Wren, James H; Robinson, Carrie; Corrado, Greg S; Peng, Lily H; Liu, Yun; Mermel, Craig H; Steiner, David F; Chen, Po-Hsuan Cameron

Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens

基于深度学习的前列腺癌活检标本格里森分级算法的开发与验证

Nagpal, Kunal; Foote, Davis; Tan, Fraser; Liu, Yun; Chen, Po-Hsuan Cameron; Steiner, David F; Manoj, Naren; Olson, Niels; Smith, Jenny L; Mohtashamian, Arash; Peterson, Brandon; Amin, Mahul B; Evans, Andrew J; Sweet, Joan W; Cheung, Carol; van der Kwast, Theodorus; Sangoi, Ankur R; Zhou, Ming; Allan, Robert; Humphrey, Peter A; Hipp, Jason D; Gadepalli, Krishna; Corrado, Greg S; Peng, Lily H; Stumpe, Martin C; Mermel, Craig H