[HTML][HTML] Systematic review of smart health monitoring using deep learning and Artificial intelligence
In the rapidly growing world of technology and evolution, the outbreak and emergences
diseases have become a critical issue. Precaution, prevention and controlling the diseases …
diseases have become a critical issue. Precaution, prevention and controlling the diseases …
Semantics-empowered communications: A tutorial-cum-survey
Along with the springing up of the semantics-empowered communication (SemCom)
research, it is now witnessing an unprecedentedly growing interest towards a wide range of …
research, it is now witnessing an unprecedentedly growing interest towards a wide range of …
A survey on deep learning in medicine: Why, how and when?
New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …
data, clinical images, genome sequences, data on prescribed therapies and results …
[HTML][HTML] Artificial intelligence in liver cancers: Decoding the impact of machine learning models in clinical diagnosis of primary liver cancers and liver cancer …
Liver cancers are the fourth leading cause of cancer-related mortality worldwide. In the past
decade, breakthroughs in the field of artificial intelligence (AI) have inspired development of …
decade, breakthroughs in the field of artificial intelligence (AI) have inspired development of …
Research on disease prediction based on improved DeepFM and IoMT
Z Yu, SU Amin, M Alhussein, Z Lv - IEEE Access, 2021 - ieeexplore.ieee.org
In recent years, with the increase of computer computing power, Deep Learning has begun
to be favored. Its learning of non-linear feature combinations has played a role that …
to be favored. Its learning of non-linear feature combinations has played a role that …
Hybrid deep spatial and statistical feature fusion for accurate MRI brain tumor classification
The classification of medical images is crucial in the biomedical field, and despite attempts
to address the issue, significant challenges persist. To effectively categorize medical …
to address the issue, significant challenges persist. To effectively categorize medical …
A new fuzzy-based classification method for use in smart/precision medicine
E Zaitseva, V Levashenko, J Rabcan, M Kvassay - Bioengineering, 2023 - mdpi.com
The development of information technology has had a significant impact on various areas of
human activity, including medicine. It has led to the emergence of the phenomenon of …
human activity, including medicine. It has led to the emergence of the phenomenon of …
[PDF][PDF] Self-Supervised Adversarial Distribution Regularization for Medication Recommendation.
Medication recommendation is a significant healthcare application due to its promise in
effectively prescribing medications. Avoiding fatal side effects related to Drug-Drug …
effectively prescribing medications. Avoiding fatal side effects related to Drug-Drug …
Multiplex immunofluorescence and the digital image analysis workflow for evaluation of the tumor immune environment in translational research
A robust understanding of the tumor immune environment has important implications for
cancer diagnosis, prognosis, research, and immunotherapy. Traditionally …
cancer diagnosis, prognosis, research, and immunotherapy. Traditionally …
Task-oriented ml/dl library recommendation based on a knowledge graph
AI applications often use ML/DL (Machine Learning/Deep Learning) models to implement
specific AI tasks. As application developers usually are not AI experts, they often choose to …
specific AI tasks. As application developers usually are not AI experts, they often choose to …