Literature DB >> 30342246

Artificial intelligence and its potential in oncology.

Vaishali Y Londhe1, Bhavya Bhasin2.   

Abstract

The two main branches associated with Artificial Intelligence (AI) in medicine are virtual and physical. The virtual component includes machine learning (ML) and algorithms, whereas physical AI includes medical devices and robots for delivering care. AI is used successfully in tumour segmentation, histopathological diagnosis, tracking tumour development, and prognosis prediction. CURATE.AI, developed at the National University of Singapore, is a platform that automatically decides the optimum dose of drugs for a durable response, allowing the patient to resume a completely normal life. With the involvement of technology multinationals, such as Google and Microsoft, in AI and healthcare in association with leading healthcare companies, the future of AI in healthcare looks very promising.
Copyright © 2018 Elsevier Ltd. All rights reserved.

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Year:  2018        PMID: 30342246     DOI: 10.1016/j.drudis.2018.10.005

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  7 in total

1.  Artificial Intelligence in Medical Science: Perspective from a Medical Student.

Authors:  Gaurab Mainali
Journal:  JNMA J Nepal Med Assoc       Date:  2020-09-27       Impact factor: 0.406

Review 2.  Gut microbiome, big data and machine learning to promote precision medicine for cancer.

Authors:  Giovanni Cammarota; Gianluca Ianiro; Anna Ahern; Carmine Carbone; Andriy Temko; Marcus J Claesson; Antonio Gasbarrini; Giampaolo Tortora
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2020-07-09       Impact factor: 46.802

Review 3.  AI applications in renal pathology.

Authors:  Yuankai Huo; Ruining Deng; Quan Liu; Agnes B Fogo; Haichun Yang
Journal:  Kidney Int       Date:  2021-02-10       Impact factor: 10.612

4.  Non-invasive multi-channel deep learning convolutional neural networks for localization and classification of common hepatic lesions.

Authors:  Shubham Shah; Ruby Mishra; Agata Szczurowska; Maciej Guziński
Journal:  Pol J Radiol       Date:  2021-07-20

5.  Current status of clinical research using artificial intelligence techniques: A registry-based audit.

Authors:  Sonali Rajiv Karekar; Arzan Khurshed Vazifdar
Journal:  Perspect Clin Res       Date:  2021-01-08

6.  Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine.

Authors:  Zeeshan Ahmed; Khalid Mohamed; Saman Zeeshan; XinQi Dong
Journal:  Database (Oxford)       Date:  2020-01-01       Impact factor: 3.451

7.  Two machine learning methods identify a metastasis-related prognostic model that predicts overall survival in medulloblastoma patients.

Authors:  Kui Chen; Bingsong Huang; Shan Yan; Siyi Xu; Keqin Li; Kuiming Zhang; Qi Wang; Zhongwei Zhuang; Liang Wei; Yanfei Zhang; Min Liu; Hao Lian; Chunlong Zhong
Journal:  Aging (Albany NY)       Date:  2020-11-05       Impact factor: 5.682

  7 in total

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