Literature DB >> 34874486

Application of Artificial Intelligence in Medicine: An Overview.

Peng-Ran Liu1, Lin Lu1, Jia-Yao Zhang1, Tong-Tong Huo1, Song-Xiang Liu1, Zhe-Wei Ye2.   

Abstract

Artificial intelligence (AI) is a new technical discipline that uses computer technology to research and develop the theory, method, technique, and application system for the simulation, extension, and expansion of human intelligence. With the assistance of new AI technology, the traditional medical environment has changed a lot. For example, a patient's diagnosis based on radiological, pathological, endoscopic, ultrasonographic, and biochemical examinations has been effectively promoted with a higher accuracy and a lower human workload. The medical treatments during the perioperative period, including the preoperative preparation, surgical period, and postoperative recovery period, have been significantly enhanced with better surgical effects. In addition, AI technology has also played a crucial role in medical drug production, medical management, and medical education, taking them into a new direction. The purpose of this review is to introduce the application of AI in medicine and to provide an outlook of future trends.
© 2021. The Author(s).

Entities:  

Keywords:  application; artificial intelligence; medicine; overview

Mesh:

Year:  2021        PMID: 34874486      PMCID: PMC8648557          DOI: 10.1007/s11596-021-2474-3

Source DB:  PubMed          Journal:  Curr Med Sci        ISSN: 2523-899X


  142 in total

1.  Preliminary results using patient-specific 3d printed models to improve preoperative planning for correction of post-traumatic tibial deformities with circular frames.

Authors:  Pablo S Corona; Matías Vicente; Kevin Tetsworth; Vaida Glatt
Journal:  Injury       Date:  2018-09       Impact factor: 2.586

2.  Recognizing basal cell carcinoma on smartphone-captured digital histopathology images with a deep neural network.

Authors:  Y Q Jiang; J H Xiong; H Y Li; X H Yang; W T Yu; M Gao; X Zhao; Y P Ma; W Zhang; Y F Guan; H Gu; J F Sun
Journal:  Br J Dermatol       Date:  2019-08-22       Impact factor: 9.302

Review 3.  Three-Dimensional Printing in Minimally Invasive Spine Surgery.

Authors:  Jonathan T Yamaguchi; Wellington K Hsu
Journal:  Curr Rev Musculoskelet Med       Date:  2019-10-26

Review 4.  3D Printing in Medicine for Preoperative Surgical Planning: A Review.

Authors:  A Tejo-Otero; I Buj-Corral; F Fenollosa-Artés
Journal:  Ann Biomed Eng       Date:  2019-11-18       Impact factor: 3.934

5.  Internist-1, an experimental computer-based diagnostic consultant for general internal medicine.

Authors:  R A Miller; H E Pople; J D Myers
Journal:  N Engl J Med       Date:  1982-08-19       Impact factor: 91.245

6.  Deep learning enables automatic quantitative assessment of puborectalis muscle and urogenital hiatus in plane of minimal hiatal dimensions.

Authors:  F van den Noort; C H van der Vaart; A T M Grob; M K van de Waarsenburg; C H Slump; M van Stralen
Journal:  Ultrasound Obstet Gynecol       Date:  2019-06-26       Impact factor: 7.299

7.  A Combination of Indoor Localization and Wearable Sensor-Based Physical Activity Recognition to Assess Older Patients Undergoing Subacute Rehabilitation: Baseline Study Results.

Authors:  Ramin Ramezani; Wenhao Zhang; Zhuoer Xie; John Shen; David Elashoff; Pamela Roberts; Annette Stanton; Michelle Eslami; Neil Wenger; Majid Sarrafzadeh; Arash Naeim
Journal:  JMIR Mhealth Uhealth       Date:  2019-07-10       Impact factor: 4.773

8.  A New Design Scheme for Intelligent Upper Limb Rehabilitation Training Robot.

Authors:  Yating Zhao; Changyong Liang; Zuozuo Gu; Yunjun Zheng; Qilin Wu
Journal:  Int J Environ Res Public Health       Date:  2020-04-24       Impact factor: 3.390

9.  Prospective evaluation of an artificial intelligence-enabled algorithm for automated diabetic retinopathy screening of 30 000 patients.

Authors:  Peter Heydon; Catherine Egan; Louis Bolter; Ryan Chambers; John Anderson; Steve Aldington; Irene M Stratton; Peter Henry Scanlon; Laura Webster; Samantha Mann; Alain du Chemin; Christopher G Owen; Adnan Tufail; Alicja Regina Rudnicka
Journal:  Br J Ophthalmol       Date:  2020-06-30       Impact factor: 4.638

10.  Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning.

Authors:  Nicolas Coudray; Paolo Santiago Ocampo; Theodore Sakellaropoulos; Navneet Narula; Matija Snuderl; David Fenyö; Andre L Moreira; Narges Razavian; Aristotelis Tsirigos
Journal:  Nat Med       Date:  2018-09-17       Impact factor: 53.440

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  2 in total

Review 1.  Artificial intelligence and anesthesia: a narrative review.

Authors:  Valentina Bellini; Emanuele Rafano Carnà; Michele Russo; Fabiola Di Vincenzo; Matteo Berghenti; Marco Baciarello; Elena Bignami
Journal:  Ann Transl Med       Date:  2022-05

2.  Artificial intelligence to detect the femoral intertrochanteric fracture: The arrival of the intelligent-medicine era.

Authors:  Pengran Liu; Lin Lu; Yufei Chen; Tongtong Huo; Mingdi Xue; Honglin Wang; Ying Fang; Yi Xie; Mao Xie; Zhewei Ye
Journal:  Front Bioeng Biotechnol       Date:  2022-09-06
  2 in total

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