Literature DB >> 35058619

AI in health and medicine.

Pranav Rajpurkar1, Emma Chen2, Oishi Banerjee2, Eric J Topol3.   

Abstract

Artificial intelligence (AI) is poised to broadly reshape medicine, potentially improving the experiences of both clinicians and patients. We discuss key findings from a 2-year weekly effort to track and share key developments in medical AI. We cover prospective studies and advances in medical image analysis, which have reduced the gap between research and deployment. We also address several promising avenues for novel medical AI research, including non-image data sources, unconventional problem formulations and human-AI collaboration. Finally, we consider serious technical and ethical challenges in issues spanning from data scarcity to racial bias. As these challenges are addressed, AI's potential may be realized, making healthcare more accurate, efficient and accessible for patients worldwide.
© 2022. Springer Nature America, Inc.

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Year:  2022        PMID: 35058619     DOI: 10.1038/s41591-021-01614-0

Source DB:  PubMed          Journal:  Nat Med        ISSN: 1078-8956            Impact factor:   87.241


  94 in total

1.  Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study.

Authors:  Pu Wang; Xiaogang Liu; Tyler M Berzin; Jeremy R Glissen Brown; Peixi Liu; Chao Zhou; Lei Lei; Liangping Li; Zhenzhen Guo; Shan Lei; Fei Xiong; Han Wang; Yan Song; Yan Pan; Guanyu Zhou
Journal:  Lancet Gastroenterol Hepatol       Date:  2020-01-22

2.  Detection of colorectal adenomas with a real-time computer-aided system (ENDOANGEL): a randomised controlled study.

Authors:  Dexin Gong; Lianlian Wu; Jun Zhang; Ganggang Mu; Lei Shen; Jun Liu; Zhengqiang Wang; Wei Zhou; Ping An; Xu Huang; Xiaoda Jiang; Yanxia Li; Xinyue Wan; Shan Hu; Yiyun Chen; Xiao Hu; Youming Xu; Xiaoyun Zhu; Suqin Li; Liwen Yao; Xinqi He; Di Chen; Li Huang; Xiao Wei; Xuemei Wang; Honggang Yu
Journal:  Lancet Gastroenterol Hepatol       Date:  2020-01-22

3.  Dermatologist-level classification of skin cancer with deep neural networks.

Authors:  Andre Esteva; Brett Kuprel; Roberto A Novoa; Justin Ko; Susan M Swetter; Helen M Blau; Sebastian Thrun
Journal:  Nature       Date:  2017-01-25       Impact factor: 49.962

Review 4.  Do no harm: a roadmap for responsible machine learning for health care.

Authors:  Jenna Wiens; Suchi Saria; Anna Goldenberg; Mark Sendak; Marzyeh Ghassemi; Vincent X Liu; Finale Doshi-Velez; Kenneth Jung; Katherine Heller; David Kale; Mohammed Saeed; Pilar N Ossorio; Sonoo Thadaney-Israni
Journal:  Nat Med       Date:  2019-08-19       Impact factor: 53.440

5.  Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.

Authors:  Awni Y Hannun; Pranav Rajpurkar; Masoumeh Haghpanahi; Geoffrey H Tison; Codie Bourn; Mintu P Turakhia; Andrew Y Ng
Journal:  Nat Med       Date:  2019-01-07       Impact factor: 53.440

6.  Diagnostic Efficacy and Therapeutic Decision-making Capacity of an Artificial Intelligence Platform for Childhood Cataracts in Eye Clinics: A Multicentre Randomized Controlled Trial.

Authors:  Haotian Lin; Ruiyang Li; Zhenzhen Liu; Jingjing Chen; Yahan Yang; Hui Chen; Zhuoling Lin; Weiyi Lai; Erping Long; Xiaohang Wu; Duoru Lin; Yi Zhu; Chuan Chen; Dongxuan Wu; Tongyong Yu; Qianzhong Cao; Xiaoyan Li; Jing Li; Wangting Li; Jinghui Wang; Mingmin Yang; Huiling Hu; Li Zhang; Yang Yu; Xuelan Chen; Jianmin Hu; Ke Zhu; Shuhong Jiang; Yalin Huang; Gang Tan; Jialing Huang; Xiaoming Lin; Xinyu Zhang; Lixia Luo; Yuhua Liu; Xialin Liu; Bing Cheng; Danying Zheng; Mingxing Wu; Weirong Chen; Yizhi Liu
Journal:  EClinicalMedicine       Date:  2019-03-17

7.  Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists.

Authors:  Pranav Rajpurkar; Jeremy Irvin; Robyn L Ball; Kaylie Zhu; Brandon Yang; Hershel Mehta; Tony Duan; Daisy Ding; Aarti Bagul; Curtis P Langlotz; Bhavik N Patel; Kristen W Yeom; Katie Shpanskaya; Francis G Blankenberg; Jayne Seekins; Timothy J Amrhein; David A Mong; Safwan S Halabi; Evan J Zucker; Andrew Y Ng; Matthew P Lungren
Journal:  PLoS Med       Date:  2018-11-20       Impact factor: 11.069

8.  Evaluation of Artificial Intelligence-Based Grading of Diabetic Retinopathy in Primary Care.

Authors:  Yogesan Kanagasingam; Di Xiao; Janardhan Vignarajan; Amita Preetham; Mei-Ling Tay-Kearney; Ateev Mehrotra
Journal:  JAMA Netw Open       Date:  2018-09-07

9.  Impact of a deep learning assistant on the histopathologic classification of liver cancer.

Authors:  Amirhossein Kiani; Bora Uyumazturk; Pranav Rajpurkar; Alex Wang; Rebecca Gao; Erik Jones; Yifan Yu; Curtis P Langlotz; Robyn L Ball; Thomas J Montine; Brock A Martin; Gerald J Berry; Michael G Ozawa; Florette K Hazard; Ryanne A Brown; Simon B Chen; Mona Wood; Libby S Allard; Lourdes Ylagan; Andrew Y Ng; Jeanne Shen
Journal:  NPJ Digit Med       Date:  2020-02-26

10.  Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks.

Authors:  Todd C Hollon; Balaji Pandian; Arjun R Adapa; Esteban Urias; Akshay V Save; Siri Sahib S Khalsa; Daniel G Eichberg; Randy S D'Amico; Zia U Farooq; Spencer Lewis; Petros D Petridis; Tamara Marie; Ashish H Shah; Hugh J L Garton; Cormac O Maher; Jason A Heth; Erin L McKean; Stephen E Sullivan; Shawn L Hervey-Jumper; Parag G Patil; B Gregory Thompson; Oren Sagher; Guy M McKhann; Ricardo J Komotar; Michael E Ivan; Matija Snuderl; Marc L Otten; Timothy D Johnson; Michael B Sisti; Jeffrey N Bruce; Karin M Muraszko; Jay Trautman; Christian W Freudiger; Peter Canoll; Honglak Lee; Sandra Camelo-Piragua; Daniel A Orringer
Journal:  Nat Med       Date:  2020-01-06       Impact factor: 53.440

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  28 in total

1.  Development and Validation of a Machine Learning Algorithm Predicting Emergency Department Use and Unplanned Hospitalization in Patients With Head and Neck Cancer.

Authors:  Christopher W Noel; Rinku Sutradhar; Lesley Gotlib Conn; David Forner; Wing C Chan; Rui Fu; Julie Hallet; Natalie G Coburn; Antoine Eskander
Journal:  JAMA Otolaryngol Head Neck Surg       Date:  2022-08-01       Impact factor: 8.961

Review 2.  Artificial Intelligence Applications in Health Care Practice: Scoping Review.

Authors:  Malvika Sharma; Carl Savage; Monika Nair; Ingrid Larsson; Petra Svedberg; Jens M Nygren
Journal:  J Med Internet Res       Date:  2022-10-05       Impact factor: 7.076

Review 3.  Multimodal biomedical AI.

Authors:  Julián N Acosta; Guido J Falcone; Pranav Rajpurkar; Eric J Topol
Journal:  Nat Med       Date:  2022-09-15       Impact factor: 87.241

4.  Accelerating 3D printing of pharmaceutical products using machine learning.

Authors:  Jun Jie Ong; Brais Muñiz Castro; Simon Gaisford; Pedro Cabalar; Abdul W Basit; Gilberto Pérez; Alvaro Goyanes
Journal:  Int J Pharm X       Date:  2022-06-09

Review 5.  The state of the art for artificial intelligence in lung digital pathology.

Authors:  Vidya Sankar Viswanathan; Paula Toro; Germán Corredor; Sanjay Mukhopadhyay; Anant Madabhushi
Journal:  J Pathol       Date:  2022-06-20       Impact factor: 9.883

Review 6.  Artificial Intelligence in Cardiology-A Narrative Review of Current Status.

Authors:  George Koulaouzidis; Tomasz Jadczyk; Dimitris K Iakovidis; Anastasios Koulaouzidis; Marc Bisnaire; Dafni Charisopoulou
Journal:  J Clin Med       Date:  2022-07-05       Impact factor: 4.964

7.  Artificial intelligence-enabled phenotyping of patients with severe aortic stenosis: on the recovery of extra-aortic valve cardiac damage after transcatheter aortic valve replacement.

Authors:  Mark Lachmann; Elena Rippen; Tibor Schuster; Erion Xhepa; Moritz von Scheidt; Teresa Trenkwalder; Costanza Pellegrini; Tobias Rheude; Amelie Hesse; Anja Stundl; Gerhard Harmsen; Shinsuke Yuasa; Heribert Schunkert; Adnan Kastrati; Karl-Ludwig Laugwitz; Michael Joner; Christian Kupatt
Journal:  Open Heart       Date:  2022-10

Review 8.  Time to Consider the "Exposome Hypothesis" in the Development of the Obesity Pandemic.

Authors:  Victoria Catalán; Iciar Avilés-Olmos; Amaia Rodríguez; Sara Becerril; José Antonio Fernández-Formoso; Dimitrios Kiortsis; Piero Portincasa; Javier Gómez-Ambrosi; Gema Frühbeck
Journal:  Nutrients       Date:  2022-04-12       Impact factor: 6.706

Review 9.  Techniques and Algorithms for Hepatic Vessel Skeletonization in Medical Images: A Survey.

Authors:  Jianfeng Zhang; Fa Wu; Wanru Chang; Dexing Kong
Journal:  Entropy (Basel)       Date:  2022-03-28       Impact factor: 2.738

10.  Machine Learning Approaches to Identify Discriminative Signatures of Volatile Organic Compounds (VOCs) from Bacteria and Fungi Using SPME-DART-MS.

Authors:  Mehak Arora; Stephen C Zambrzycki; Joshua M Levy; Annette Esper; Jennifer K Frediani; Cassandra L Quave; Facundo M Fernández; Rishikesan Kamaleswaran
Journal:  Metabolites       Date:  2022-03-08
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