Best practices for authors of healthcare-related artificial intelligence manuscripts von Kakarmath, Sujay, Esteva, Andre, Arnaout, Rima, Harvey, Hugh, Kumar, Santosh, Muse, Evan, Dong, Feng, Wedlund, Leia, Kvedar, Joseph

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Exploring trends and autonomy levels of adaptive business intelligence in healthcare: A systematic review von Lopes, João, Faria, Mariana, Santos, Manuel Filipe

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Conducting a systematic review and evaluation of commercially available mobile applications (apps) on a health-related topic: the TECH approach and a step-by-step methodological gu... von Gasteiger, Norina, Dowding, Dawn, Norman, Gill, McGarrigle, Lisa, Eost-Telling, Charlotte, Jones, Debra, Vercell, Amy, Ali, Syed Mustafa, O'Connor, Siobhan

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Computer copilots for endoscopic diagnosis von Diao, James A., Kvedar, Joseph C.

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With an eye to AI and autonomous diagnosis von Keane, Pearse A., Topol, Eric J.

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Digital medicine, on its way to being just plain medicine von Steinhubl, Steven R., Topol, Eric J.

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Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study von Dou, Q, So, TY, Jiang, M, Liu, Q, Vardhanabhuti, V, Kaissis, G, Li, Z, Si, W, Lee, HHC, Yu, K, Feng, Z, Dong, L, Burian, E, Jungmann, F, Braren, R, Makowski, M, Kainz, B, Rueckert, D, Glocker, B, Yu, SCH, Heng, PA

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Focus on technology: surgical selfies, ransomware attacks, AI-assisted mental health care von Basky, Greg, Vogel, Lauren

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Ethical challenges of machine learning and deep learning algorithms von Prabhu, Sanjay P

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Abstract P1-02-01: Deep learning identifies morphological changes in whole slide images of treatment-resistant TNBC von Pour, Ali Foroughi, Wu, Te-Chia, Martinek, Jan, Kumar, Swarup, Anzeneder, Tobias, Torkler, Stephanie, Sommermeyer, Franziska, Palucka, Karolina, Chuang, Jeffrey

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Smart Devices Detect Agonal Breathing in Cardiac Arrest von Abbasi, Jennifer

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247 Automated sleep staging using wrist-worn device and deep neural networks von Sridhar, Niranjan, Ghoreyshi, Atiyeh, Myers, Lance, Owens, Zachary

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Abstract WP423: Advanced Machine Learning in Action: Radiomic Based Outcome Prediction of Acute Intracranial Hemorrhage on Computed Tomography von Nawabi, Jawed, Kniep, Helge, Schön, Gerhard, Fiehler, Jens, Hanning, Uta

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Looking for a balance between visual and automatic sleep scoring von Muto, Vincenzo, Berthomier, Christian

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Challenges and opportunities of deep learning for wearable-based objective sleep assessment von Zhai, Bing, Elder, Greg J., Godfrey, Alan

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New machine learning model predicts who may benefit most from COVID-19 vaccination von Wedlund, Leia, Kvedar, Joseph

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Innovation without integration von Cohen, Adam B., Martin, Seth S.

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Digital Health, Telehealth, and Primary Care Post-COVID: A Discussion with Kim Boyd and Joe Kvedar, Moderated by Benjamin Rosner von Rosner, Benjamin I., Morozov, Masha, Andoni, Anna

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The future of digital health with federated learning von Rieke, Nicola, Hancox, Jonny, Li, Wenqi, Milletarì, Fausto, Roth, Holger R., Albarqouni, Shadi, Bakas, Spyridon, Galtier, Mathieu N., Landman, Bennett A., Maier-Hein, Klaus, Ourselin, Sébastien, Sheller, Micah, Summers, Ronald M., Trask, Andrew, Xu, Daguang, Baust, Maximilian, Cardoso, M. Jorge

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The imperative for regulatory oversight of large language models (or generative AI) in healthcare von Meskó, Bertalan, Topol, Eric J.

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