A survey on deep learning in medicine: Why, how and when?

F Piccialli, V Di Somma, F Giampaolo, S Cuomo… - Information …, 2021 - Elsevier
New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …

A survey of deep learning models in medical therapeutic areas

A Nogales, AJ Garcia-Tejedor, D Monge… - Artificial intelligence in …, 2021 - Elsevier
Artificial intelligence is a broad field that comprises a wide range of techniques, where deep
learning is presently the one with the most impact. Moreover, the medical field is an area …

What is machine learning, artificial neural networks and deep learning?—Examples of practical applications in medicine

J Kufel, K Bargieł-Łączek, S Kocot, M Koźlik… - Diagnostics, 2023 - mdpi.com
Machine learning (ML), artificial neural networks (ANNs), and deep learning (DL) are all
topics that fall under the heading of artificial intelligence (AI) and have gained popularity in …

[HTML][HTML] Medical deep learning—A systematic meta-review

J Egger, C Gsaxner, A Pepe, KL Pomykala… - Computer methods and …, 2022 - Elsevier
Deep learning has remarkably impacted several different scientific disciplines over the last
few years. For example, in image processing and analysis, deep learning algorithms were …

Role of machine learning in medical research: A survey

A Garg, V Mago - Computer science review, 2021 - Elsevier
Abstract Machine learning is one of the essential and effective tools in analyzing highly
complex medical data. With vast amounts of medical data being generated, there is an …

Intelligent health care: Applications of deep learning in computational medicine

S Yang, F Zhu, X Ling, Q Liu, P Zhao - Frontiers in Genetics, 2021 - frontiersin.org
With the progress of medical technology, biomedical field ushered in the era of big data,
based on which and driven by artificial intelligence technology, computational medicine has …

Deep learning in healthcare

D Kaul, H Raju, BK Tripathy - Deep Learning in Data Analytics: Recent …, 2022 - Springer
Abstract Machine learning is quickly becoming an important tool for diagnosis and prognosis
of various medical conditions. Complex input output mappings are dealt in deep learning …

Machine learning and deep learning: Open issues and future research directions for the next 10 years

A Pramod, HS Naicker, AK Tyagi - Computational analysis and …, 2021 - Wiley Online Library
With the development in technology, many other technologies like machine learning (ML),
deep learning, blockchain technology, Internet of Things, and quantum computing have …

Healthcare techniques through deep learning: issues, challenges and opportunities

R Amin, MA Al Ghamdi, SH Almotiri, M Alruily - IEEE Access, 2021 - ieeexplore.ieee.org
In artificial intelligence, deep learning (DL) is a process that replicates the working
mechanism of the human brain in data processing, and it also creates patterns for decision …

Clinical big data and deep learning: Applications, challenges, and future outlooks

Y Yu, M Li, L Liu, Y Li, J Wang - Big Data Mining and Analytics, 2019 - ieeexplore.ieee.org
The explosion of digital healthcare data has led to a surge of data-driven medical research
based on machine learning. In recent years, as a powerful technique for big data, deep …