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Large AI Models in Health Informatics: Applications, Challenges, and the
  Future
v1v2 (latest)

Large AI Models in Health Informatics: Applications, Challenges, and the Future

21 March 2023
Jianing Qiu
Lin Li
Jiankai Sun
Jiachuan Peng
Peilun Shi
Rui Zhang
Yinzhao Dong
K. Lam
Frank P.-W. Lo
Bo Xiao
Wu Yuan
Ningli Wang
Dong Xu
Benny Lo
    AI4MHLM&MA
ArXiv (abs)PDFHTML

Papers citing "Large AI Models in Health Informatics: Applications, Challenges, and the Future"

39 / 139 papers shown
Title
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By
  Comparing Image Representations
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations
Hong-Yu Zhou
Shuang Yu
Cheng Bian
Yifan Hu
Kai Ma
Yefeng Zheng
SSLMedIm
65
105
0
15 Jul 2020
ProtTrans: Towards Cracking the Language of Life's Code Through
  Self-Supervised Deep Learning and High Performance Computing
ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing
Ahmed Elnaggar
M. Heinzinger
Christian Dallago
Ghalia Rehawi
Yu Wang
...
Tamas B. Fehér
Christoph Angerer
Martin Steinegger
D. Bhowmik
B. Rost
DRL
73
951
0
13 Jul 2020
Med-BERT: pre-trained contextualized embeddings on large-scale
  structured electronic health records for disease prediction
Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction
L. Rasmy
Yang Xiang
Z. Xie
Cui Tao
Degui Zhi
AI4MHLM&MA
99
693
0
22 May 2020
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
Suchin Gururangan
Ana Marasović
Swabha Swayamdipta
Kyle Lo
Iz Beltagy
Doug Downey
Noah A. Smith
VLMAI4CECLL
164
2,435
0
23 Apr 2020
Autonomous task planning and situation awareness in robotic surgery
Autonomous task planning and situation awareness in robotic surgery
Michele Ginesi
Daniele Meli
A. Roberti
N. Sansonetto
Paolo Fiorini
47
44
0
19 Apr 2020
Designing Network Design Spaces
Designing Network Design Spaces
Ilija Radosavovic
Raj Prateek Kosaraju
Ross B. Girshick
Kaiming He
Piotr Dollár
GNN
102
1,693
0
30 Mar 2020
COVID-Net: A Tailored Deep Convolutional Neural Network Design for
  Detection of COVID-19 Cases from Chest X-Ray Images
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images
Linda Wang
A. Wong
OOD
126
2,505
0
22 Mar 2020
ProGen: Language Modeling for Protein Generation
ProGen: Language Modeling for Protein Generation
Ali Madani
Bryan McCann
Nikhil Naik
N. Keskar
N. Anand
Raphael R. Eguchi
Po-Ssu Huang
R. Socher
71
288
0
08 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
387
18,866
0
13 Feb 2020
Big Transfer (BiT): General Visual Representation Learning
Big Transfer (BiT): General Visual Representation Learning
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
J. Puigcerver
Jessica Yung
Sylvain Gelly
N. Houlsby
MQ
288
1,211
0
24 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
213
12,124
0
13 Nov 2019
SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug
  Discovery
SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery
Shion Honda
Shoi Shi
H. Ueda
MedIm
78
175
0
12 Nov 2019
Reinforcement Learning in Healthcare: A Survey
Reinforcement Learning in Healthcare: A Survey
Chao Yu
Jiming Liu
S. Nemati
LM&MAOffRL
185
572
0
22 Aug 2019
Models Genesis: Generic Autodidactic Models for 3D Medical Image
  Analysis
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis
Zongwei Zhou
V. Sodha
M. R. Siddiquee
Ruibin Feng
Nima Tajbakhsh
Michael B. Gotway
Jianming Liang
MedIm
67
311
0
19 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
686
24,557
0
26 Jul 2019
BEHRT: Transformer for Electronic Health Records
BEHRT: Transformer for Electronic Health Records
Yikuan Li
Shishir Rao
J. R. A. Solares
A. Hassaine
D. Canoy
Yajie Zhu
K. Rahimi
G. Salimi-Khorshidi
OOD
113
464
0
22 Jul 2019
Understanding artificial intelligence ethics and safety
Understanding artificial intelligence ethics and safety
David Leslie
FaMLAI4TS
55
361
0
11 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DVMedIm
164
18,193
0
28 May 2019
Publicly Available Clinical BERT Embeddings
Publicly Available Clinical BERT Embeddings
Emily Alsentzer
John R. Murphy
Willie Boag
W. Weng
Di Jin
Tristan Naumann
Matthew B. A. McDermott
AI4MH
192
1,983
0
06 Apr 2019
Med3D: Transfer Learning for 3D Medical Image Analysis
Med3D: Transfer Learning for 3D Medical Image Analysis
Sihong Chen
Kai Ma
Yefeng Zheng
MedIm
66
464
0
01 Apr 2019
BioBERT: a pre-trained biomedical language representation model for
  biomedical text mining
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee
Wonjin Yoon
Sungdong Kim
Donghyeon Kim
Sunkyu Kim
Chan Ho So
Jaewoo Kang
OOD
180
5,674
0
25 Jan 2019
PadChest: A large chest x-ray image dataset with multi-label annotated
  reports
PadChest: A large chest x-ray image dataset with multi-label annotated reports
A. Bustos
A. Pertusa
J. M. Salinas
M. Iglesia-Vayá
LM&MA
73
619
0
22 Jan 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and
  Expert Comparison
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin
Pranav Rajpurkar
M. Ko
Yifan Yu
Silviana Ciurea-Ilcus
...
D. Larson
C. Langlotz
Bhavik Patel
M. Lungren
A. Ng
118
2,604
0
21 Jan 2019
DeepConv-DTI: Prediction of drug-target interactions via deep learning
  with convolution on protein sequences
DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences
Xuesu Xiao
Jongsoo Keum
Mohamed Suhail
43
419
0
06 Nov 2018
Exploring the Limits of Weakly Supervised Pretraining
Exploring the Limits of Weakly Supervised Pretraining
D. Mahajan
Ross B. Girshick
Vignesh Ramanathan
Kaiming He
Manohar Paluri
Yixuan Li
Ashwin R. Bharambe
Laurens van der Maaten
VLM
205
1,370
0
02 May 2018
Learning Transferable Architectures for Scalable Image Recognition
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
186
5,608
0
21 Jul 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
544
19,296
0
20 Jul 2017
Robot Autonomy for Surgery
Robot Autonomy for Surgery
Michael C. Yip
Nikhil Das
50
111
0
10 Jul 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Chen Sun
Abhinav Shrivastava
Saurabh Singh
Abhinav Gupta
VLM
207
2,406
0
10 Jul 2017
Deep reinforcement learning from human preferences
Deep reinforcement learning from human preferences
Paul Christiano
Jan Leike
Tom B. Brown
Miljan Martic
Shane Legg
Dario Amodei
218
3,365
0
12 Jun 2017
Making the V in VQA Matter: Elevating the Role of Image Understanding in
  Visual Question Answering
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
Yash Goyal
Tejas Khot
D. Summers-Stay
Dhruv Batra
Devi Parikh
CoGe
352
3,273
0
02 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
522
10,351
0
16 Nov 2016
Membership Inference Attacks against Machine Learning Models
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLRMIALMMIACV
278
4,160
0
18 Oct 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,196
0
16 Mar 2016
Microsoft COCO Captions: Data Collection and Evaluation Server
Microsoft COCO Captions: Data Collection and Evaluation Server
Xinlei Chen
Hao Fang
Nayeon Lee
Ramakrishna Vedantam
Saurabh Gupta
Piotr Dollar
C. L. Zitnick
224
2,496
0
01 Apr 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDaDiffM
312
7,031
0
12 Mar 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
347
18,654
0
06 Feb 2015
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
236
8,353
0
06 Nov 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
494
43,698
0
17 Sep 2014
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