Literature DB >> 33328120

Clinical applications of continual learning machine learning.

Cecilia S Lee1, Aaron Y Lee2.   

Abstract

Entities:  

Mesh：

Year:  2020        PMID： 33328120      PMCID： PMC8259323          DOI： 10.1016/S2589-7500(20)30102-3

Source DB:  PubMed          Journal:  Lancet Digit Health        ISSN： 2589-7500


× No keyword cloud information.
  7 in total

Review 1.  Continual lifelong learning with neural networks: A review.

Authors:  German I Parisi; Ronald Kemker; Jose L Part; Christopher Kanan; Stefan Wermter
Journal:  Neural Netw       Date:  2019-02-06

Review 2.  Neuroscience-Inspired Artificial Intelligence.

Authors:  Demis Hassabis; Dharshan Kumaran; Christopher Summerfield; Matthew Botvinick
Journal:  Neuron       Date:  2017-07-19       Impact factor: 17.173

Review 3.  Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory.

Authors:  James L McClelland; Bruce L McNaughton; Randall C O'Reilly
Journal:  Psychol Rev       Date:  1995-07       Impact factor: 8.934

4.  Deep learning is effective for the classification of OCT images of normal versus Age-related Macular Degeneration.

Authors:  Cecilia S Lee; Doug M Baughman; Aaron Y Lee
Journal:  Ophthalmol Retina       Date:  2017-02-13

5.  Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices.

Authors:  Michael D Abràmoff; Philip T Lavin; Michele Birch; Nilay Shah; James C Folk
Journal:  NPJ Digit Med       Date:  2018-08-28

6.  Machine Learning Approaches for Automated Lesion Detection in Microwave Breast Imaging Clinical Data.

Authors:  Soumya Prakash Rana; Maitreyee Dey; Gianluigi Tiberi; Lorenzo Sani; Alessandro Vispa; Giovanni Raspa; Michele Duranti; Mohammad Ghavami; Sandra Dudley
Journal:  Sci Rep       Date:  2019-07-19       Impact factor: 4.379

7.  Clinically applicable deep learning for diagnosis and referral in retinal disease.

Authors:  Jeffrey De Fauw; Joseph R Ledsam; Bernardino Romera-Paredes; Stanislav Nikolov; Nenad Tomasev; Sam Blackwell; Harry Askham; Xavier Glorot; Brendan O'Donoghue; Daniel Visentin; George van den Driessche; Balaji Lakshminarayanan; Clemens Meyer; Faith Mackinder; Simon Bouton; Kareem Ayoub; Reena Chopra; Dominic King; Alan Karthikesalingam; Cían O Hughes; Rosalind Raine; Julian Hughes; Dawn A Sim; Catherine Egan; Adnan Tufail; Hugh Montgomery; Demis Hassabis; Geraint Rees; Trevor Back; Peng T Khaw; Mustafa Suleyman; Julien Cornebise; Pearse A Keane; Olaf Ronneberger
Journal:  Nat Med       Date:  2018-08-13       Impact factor: 53.440
  7 in total
  22 in total

1.  Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees.

Authors:  Jean Feng; Alexej Gossmann; Berkman Sahiner; Romain Pirracchio
Journal:  J Am Med Inform Assoc       Date:  2022-04-13       Impact factor: 4.497

Review 2.  Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare.

Authors:  Jean Feng; Rachael V Phillips; Ivana Malenica; Andrew Bishara; Alan E Hubbard; Leo A Celi; Romain Pirracchio
Journal:  NPJ Digit Med       Date:  2022-05-31

3.  Artificial Intelligence in Radiology: The Computer's Helping Hand Needs Guidance.

Authors:  Evis Sala; Stephan Ursprung
Journal:  Radiol Artif Intell       Date:  2020-11-11

Review 4.  Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension.

Authors:  Xiaoxuan Liu; Samantha Cruz Rivera; David Moher; Melanie J Calvert; Alastair K Denniston
Journal:  Lancet Digit Health       Date:  2020-09-09

Review 5.  AI in health and medicine.

Authors:  Pranav Rajpurkar; Emma Chen; Oishi Banerjee; Eric J Topol
Journal:  Nat Med       Date:  2022-01-20       Impact factor: 87.241

6.  Mitigating bias in machine learning for medicine.

Authors:  Kerstin N Vokinger; Stefan Feuerriegel; Aaron S Kesselheim
Journal:  Commun Med (Lond)       Date:  2021-08-23

Review 7.  Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension.

Authors:  Samantha Cruz Rivera; Xiaoxuan Liu; An-Wen Chan; Alastair K Denniston; Melanie J Calvert
Journal:  Lancet Digit Health       Date:  2020-09-09

Review 8.  Breast Tumour Classification Using Ultrasound Elastography with Machine Learning: A Systematic Scoping Review.

Authors:  Ye-Jiao Mao; Hyo-Jung Lim; Ming Ni; Wai-Hin Yan; Duo Wai-Chi Wong; James Chung-Wai Cheung
Journal:  Cancers (Basel)       Date:  2022-01-12       Impact factor: 6.639

Review 9.  Machine learning in vascular surgery: a systematic review and critical appraisal.

Authors:  Ben Li; Tiam Feridooni; Cesar Cuen-Ojeda; Teruko Kishibe; Charles de Mestral; Muhammad Mamdani; Mohammed Al-Omran
Journal:  NPJ Digit Med       Date:  2022-01-19

Review 10.  Towards Multimodal Machine Learning Prediction of Individual Cognitive Evolution in Multiple Sclerosis.

Authors:  Stijn Denissen; Oliver Y Chén; Johan De Mey; Maarten De Vos; Jeroen Van Schependom; Diana Maria Sima; Guy Nagels
Journal:  J Pers Med       Date:  2021-12-11
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.