ChatGPT and Other Large Language Models Are Double-edged Swords von Shen, Yiqiu, Heacock, Laura, Elias, Jonathan, Hentel, Keith D, Reig, Beatriu, Shih, George, Moy, Linda

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Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams von Shen, Yiqiu, Shamout, Farah E., Oliver, Jamie R., Witowski, Jan, Kannan, Kawshik, Park, Jungkyu, Wu, Nan, Huddleston, Connor, Wolfson, Stacey, Millet, Alexandra, Ehrenpreis, Robin, Awal, Divya, Tyma, Cathy, Samreen, Naziya, Gao, Yiming, Chhor, Chloe, Gandhi, Stacey, Lee, Cindy, Kumari-Subaiya, Sheila, Leonard, Cindy, Mohammed, Reyhan, Moczulski, Christopher, Altabet, Jaime, Babb, James, Lewin, Alana, Reig, Beatriu, Moy, Linda, Heacock, Laura, Geras, Krzysztof J.

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An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization von Shen, Yiqiu, Wu, Nan, Phang, Jason, Park, Jungkyu, Liu, Kangning, Tyagi, Sudarshini, Heacock, Laura, Kim, S. Gene, Moy, Linda, Cho, Kyunghyun, Geras, Krzysztof J.

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Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening von Wu, Nan, Phang, Jason, Park, Jungkyu, Shen, Yiqiu, Huang, Zhe, Zorin, Masha, Jastrzebski, Stanislaw, Fevry, Thibault, Katsnelson, Joe, Kim, Eric, Wolfson, Stacey, Parikh, Ujas, Gaddam, Sushma, Lin, Leng Leng Young, Ho, Kara, Weinstein, Joshua D., Reig, Beatriu, Gao, Yiming, Toth, Hildegard, Pysarenko, Kristine, Lewin, Alana, Lee, Jiyon, Airola, Krystal, Mema, Eralda, Chung, Stephanie, Hwang, Esther, Samreen, Naziya, Kim, S. Gene, Heacock, Laura, Moy, Linda, Cho, Kyunghyun, Geras, Krzysztof J.

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An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department von Shamout, Farah E., Shen, Yiqiu, Wu, Nan, Kaku, Aakash, Park, Jungkyu, Makino, Taro, Jastrzębski, Stanisław, Witowski, Jan, Wang, Duo, Zhang, Ben, Dogra, Siddhant, Cao, Meng, Razavian, Narges, Kudlowitz, David, Azour, Lea, Moore, William, Lui, Yvonne W., Aphinyanaphongs, Yindalon, Fernandez-Granda, Carlos, Geras, Krzysztof J.

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Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms von Schaffter, Thomas, Buist, Diana S. M., Lee, Christoph, Nikulin, Yaroslav, Ribli, Dezso, Guan, Yuanfang, Lotter, William, Jie, Zequn, Du, Hao, Wang, Sijia, Feng, Jiashi, Feng, Mengling, Kim, Hyo-Eun, Albiol, Francisco, Albiol, Alberto, Morrell, Stephen, Wojna, Zbigniew, Ahsen, Mehmet Eren, Asif, Umar, Yepes, Antonio Jimeno, Yohanandan, Shivanthan, Rabinovici-Cohen, Simona, Yi, Darvin, Hoff, Bruce, Yu, Thomas, Neto, Elias Chaibub, Rubin, Daniel L., Lindholm, Peter, Margolies, Laurie R., McBride, Russell Bailey, Rothstein, Joseph H., Sieh, Weiva, Ben-Ari, Rami, Harrer, Stefan, Trister, Andrew, Friend, Stephen, Norman, Thea, Sahiner, Berkman, Strand, Fredrik, Guinney, Justin, Stolovitzky, Gustavo

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Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms von Wu, Nan, Huang, Zhe, Shen, Yiqiu, Park, Jungkyu, Phang, Jason, Makino, Taro, Gene Kim, S., Cho, Kyunghyun, Heacock, Laura, Moy, Linda, Geras, Krzysztof J.

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Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis by Using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative von Leung, Kevin, Zhang, Bofei, Tan, Jimin, Shen, Yiqiu, Geras, Krzysztof J., Babb, James S., Cho, Kyunghyun, Chang, Gregory, Deniz, Cem M.

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Distribution, source, and environmental risk assessment of phthalate esters (PAEs) in water, suspended particulate matter, and sediment of a typical Yangtze River Delta City, China von Chen, Hui, Mao, Wei, Shen, Yiqiu, Feng, Weiwei, Mao, Guanghua, Zhao, Ting, Yang, Lanqin, Yang, Liuqing, Meng, Chunfeng, Li, Yong, Wu, Xiangyang

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Advancements in early detection of pancreatic cancer: the role of artificial intelligence and novel imaging techniques von Huang, Chenchan, Shen, Yiqiu, Galgano, Samuel J, Goenka, Ajit H, Hecht, Elizabeth M, Kambadakone, Avinash, Wang, Zhen Jane, Chu, Linda C

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Globally-Aware Multiple Instance Classifier for Breast Cancer Screening von Shen, Yiqiu, Wu, Nan, Phang, Jason, Park, Jungkyu, Kim, Gene, Moy, Linda, Cho, Kyunghyun, Geras, Krzysztof J.

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HDAC1/2‐mediated regulation of JNK and ERK phosphorylation in bovine mammary epithelial cells in response to TNF‐α von Romanick, Samantha S., Morrill, Kristen, Hostler, Andrew, Evans, Levi W., Shen, Yiqiu, Matsumura, Allison, Piotrowski, Haleigh, Silva, Lorrayny G., Faciola, Antonio P., Ferguson, Bradley S.

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Concentration and moment inequalities for heavy-tailed random matrices von Jirak, Moritz, Minsker, Stanislav, Shen, Yiqiu, Wahl, Martin

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Minimax Supervised Clustering in the Anisotropic Gaussian Mixture Model: A new take on Robust Interpolation von Minsker, Stanislav, Ndaoud, Mohamed, Shen, Yiqiu

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Fine-Tuning In-House Large Language Models to Infer Differential Diagnosis from Radiology Reports von Chen, Luoyao, Teotia, Revant, Verdone, Antonio, Cardall, Aidan, Tyagi, Lakshay, Shen, Yiqiu, Chopra, Sumit

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Understanding differences in applying DETR to natural and medical images von Xu, Yanqi, Shen, Yiqiu, Fernandez-Granda, Carlos, Heacock, Laura, Geras, Krzysztof J

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Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data von Shen, Yiqiu, Park, Jungkyu, Yeung, Frank, Goldberg, Eliana, Heacock, Laura, Shamout, Farah, Geras, Krzysztof J

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BURExtract-Llama: An LLM for Clinical Concept Extraction in Breast Ultrasound Reports von Chen, Yuxuan, Yang, Haoyan, Pan, Hengkai, Siddiqui, Fardeen, Verdone, Antonio, Zhang, Qingyang, Chopra, Sumit, Zhao, Chen, Shen, Yiqiu

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Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning von Liu, Kangning, Zhu, Weicheng, Shen, Yiqiu, Liu, Sheng, Razavian, Narges, Geras, Krzysztof J, Fernandez-Granda, Carlos

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Concentration and moment inequalities for heavy-tailed random matrices von Jirak, Moritz, Minsker, Stanislav, Shen, Yiqiu, Wahl, Martin

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