[HTML][HTML] An overview of deep learning in medical imaging focusing on MRI
AS Lundervold, A Lundervold - Zeitschrift für Medizinische Physik, 2019 - Elsevier
What has happened in machine learning lately, and what does it mean for the future of
medical image analysis? Machine learning has witnessed a tremendous amount of attention …
medical image analysis? Machine learning has witnessed a tremendous amount of attention …
Artificial intelligence in drug development: present status and future prospects
KK Mak, MR Pichika - Drug discovery today, 2019 - Elsevier
Highlights•Advances in artificial intelligence (AI) are modernising several aspects of our
lives.•The pharma industry is facing challenges to overcome the high attrition rates in drug …
lives.•The pharma industry is facing challenges to overcome the high attrition rates in drug …
A survey on explainable artificial intelligence (xai): Toward medical xai
Recently, artificial intelligence and machine learning in general have demonstrated
remarkable performances in many tasks, from image processing to natural language …
remarkable performances in many tasks, from image processing to natural language …
[HTML][HTML] Machine learning in healthcare
H Habehh, S Gohel - Current genomics, 2021 - ncbi.nlm.nih.gov
Abstract Recent advancements in Artificial Intelligence (AI) and Machine Learning (ML)
technology have brought on substantial strides in predicting and identifying health …
technology have brought on substantial strides in predicting and identifying health …
Artificial intelligence and acute stroke imaging
JE Soun, DS Chow, M Nagamine… - American Journal …, 2021 - Am Soc Neuroradiology
Artificial intelligence technology is a rapidly expanding field with many applications in acute
stroke imaging, including ischemic and hemorrhage subtypes. Early identification of acute …
stroke imaging, including ischemic and hemorrhage subtypes. Early identification of acute …
Artificial intelligence transforms the future of health care
Life sciences researchers using artificial intelligence (AI) are under pressure to innovate
faster than ever. Large, multilevel, and integrated data sets offer the promise of unlocking …
faster than ever. Large, multilevel, and integrated data sets offer the promise of unlocking …
The application of medical artificial intelligence technology in rural areas of developing countries
J Guo, B Li - Health equity, 2018 - liebertpub.com
Background: Artificial intelligence (AI) is a rapidly developing computer technology that has
begun to be widely used in the medical field to improve the professional level and efficiency …
begun to be widely used in the medical field to improve the professional level and efficiency …
Convergence of artificial intelligence and neuroscience towards the diagnosis of neurological disorders—a scoping review
C Surianarayanan, JJ Lawrence, PR Chelliah… - Sensors, 2023 - mdpi.com
Artificial intelligence (AI) is a field of computer science that deals with the simulation of
human intelligence using machines so that such machines gain problem-solving and …
human intelligence using machines so that such machines gain problem-solving and …
Current status and applications of Artificial Intelligence (AI) in medical field: An overview
Background/objectives In the current scenario, artificial intelligence (AI) is going to change
almost all the areas of the medical field. The need is to study the research carried out in this …
almost all the areas of the medical field. The need is to study the research carried out in this …
Machine learning approach to identify stroke within 4.5 hours
H Lee, EJ Lee, S Ham, HB Lee, JS Lee, SU Kwon… - Stroke, 2020 - Am Heart Assoc
Background and Purpose—We aimed to investigate the ability of machine learning (ML)
techniques analyzing diffusion-weighted imaging (DWI) and fluid-attenuated inversion …
techniques analyzing diffusion-weighted imaging (DWI) and fluid-attenuated inversion …