Results 1 to 10 of about 1,007,642 (258)

Artificial general intelligence for radiation oncology. [PDF]

Meta Radiol, 2023
The emergence of artificial general intelligence (AGI) is transforming radiation oncology. As prominent vanguards of AGI, large language models (LLMs) such as GPT-4 and PaLM 2 can process extensive texts and large vision models (LVMs) such as the Segment
Liu C, Liu Z, Holmes J, Zhang L, Zhang L, Ding Y, Shu P, Wu Z, Dai H, Li Y, Shen D, Liu N, Li Q, Li X, Zhu D, Liu T, Liu W.   +16 more
europepmc   +2 more sources

Generative Artificial Intelligence

Journal of the American College of Radiology
Generative Artificial Intelligence (AI) is a transformative force reshaping businesses. Advanced technology models, such as GPT-4, can produce content in various forms, from text to music, fundamentally changing many industries. The benefits are vast: personalized content for enhanced customer experiences, improved virtual assistants, fostering ...
Christoph I. Lee, Jonathan H. Chen, Marc D. Kohli, Andrew D. Smith, Joshua M. Liao   +4 more
  +16 more sources

Generative artificial intelligence

Electronic Markets, 2023
AbstractRecent developments in the field of artificial intelligence (AI) have enabled new paradigms of machine processing, shifting from data-driven, discriminative AI tasks toward sophisticated, creative tasks through generative AI. Leveraging deep generative models, generative AI is capable of producing novel and realistic content across a broad ...
Leonardo Banh, Gero Strobel
  +10 more sources

A Learning-Free Method for Locomotion Mode Prediction by Terrain Reconstruction and Visual-Inertial Odometry

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
This research introduces a novel, highly precise, and learning-free approach to locomotion mode prediction, a technique with potential for broad applications in the field of lower-limb wearable robotics.
Shunyi Zhao, Zehuan Yu, Zhaoyang Wang, Hangxin Liu, Zhihao Zhou, Lecheng Ruan, Qining Wang   +6 more
doaj   +1 more source

Artificial Social Intelligence: A Comparative and Holistic View

CAAI Artificial Intelligence Research, 2022
In addition to a physical comprehension of the world, humans possess a high social intelligence—the intelligence that senses social events, infers the goals and intents of others, and facilitates social interaction. Notably, humans are distinguished from
Lifeng Fan, Manjie Xu, Zhihao Cao, Yixin Zhu, Song-Chun Zhu   +4 more
doaj   +1 more source

Robot Arm Reaching Based on Inner Rehearsal

Biomimetics, 2023
Robot arm motion control is a fundamental aspect of robot capabilities, with arm reaching ability serving as the foundation for complex arm manipulation tasks.
Jiawen Wang, Yudi Zou, Yaoyao Wei, Mengxi Nie, Tianlin Liu, Dingsheng Luo   +5 more
doaj   +1 more source

Deep learning classification of lung cancer histology using CT images

Scientific Reports, 2021
Tumor histology is an important predictor of therapeutic response and outcomes in lung cancer. Tissue sampling for pathologist review is the most reliable method for histology classification, however, recent advances in deep learning for medical image ...
Tafadzwa L. Chaunzwa, Ahmed Hosny, Yiwen Xu, Andrea Shafer, Nancy Diao, Michael Lanuti, David C. Christiani, Raymond H. Mak, Hugo J. W. L. Aerts   +8 more
doaj   +1 more source

Deep learning to estimate lung disease mortality from chest radiographs

Nature Communications, 2023
Prevention and management of chronic lung diseases (asthma, lung cancer, etc.) are of great importance. While tests are available for reliable diagnosis, accurate identification of those who will develop severe morbidity/mortality is currently limited ...
Jakob Weiss, Vineet K. Raghu, Dennis Bontempi, David C. Christiani, Raymond H. Mak, Michael T. Lu, Hugo J.W.L. Aerts   +6 more
doaj   +1 more source

Explainable machine learning to predict long-term mortality in critically ill ventilated patients: a retrospective study in central Taiwan

BMC Medical Informatics and Decision Making, 2022
Background Machine learning (ML) model is increasingly used to predict short-term outcome in critically ill patients, but the study for long-term outcome is sparse.
Ming-Cheng Chan, Kai-Chih Pai, Shao-An Su, Min-Shian Wang, Chieh-Liang Wu, Wen-Cheng Chao   +5 more
doaj   +1 more source

Generated artificial general intelligence

SSRN Electronic Journal, 2022
my paper has been accepted by SCSET2022 and is published by IEEE-CPS.
openaire   +1 more source