A review on artificial intelligence and machine learning to improve cancer management and drug discovery
Typical pharmacological effect screening techniques use diluted natural ingredients that do
not segregate active components. For the last two decades, contemporary medicine has …
not segregate active components. For the last two decades, contemporary medicine has …
Deep transfer learning approaches to predict glaucoma, cataract, choroidal neovascularization, diabetic macular edema, drusen and healthy eyes: an experimental …
Artificial intelligence (AI) has lately witnessed an age of tremendous expansion across
several industries, including healthcare. In recent years, substantial advancements in AI …
several industries, including healthcare. In recent years, substantial advancements in AI …
An investigational approach for the prediction of gastric cancer using artificial intelligence techniques: a systematic review
Gastric cancer is characterized by the growth of cancerous cells within the lining of the
stomach. Traditionally, this condition has been challenging to diagnose. However, today …
stomach. Traditionally, this condition has been challenging to diagnose. However, today …
Personal HealthCare of Things: A novel paradigm and futuristic approach
This study provides an investigative approach and offers a complete review of research on
Internet of Medical Things (IoMT), describing the progress in general and highlighting the …
Internet of Medical Things (IoMT), describing the progress in general and highlighting the …
Cancer prognosis using artificial intelligence-based techniques
Cancer is one of the most dreadful causes of destruction to mankind. Many bioinformatics
investigators have applied Artificial Intelligence (AI)-based learning approaches with the aim …
investigators have applied Artificial Intelligence (AI)-based learning approaches with the aim …
A novel multi-neural ensemble approach for cancer diagnosis
Cancer is a complex worldwide health concern that resulted in 10 million cancer deaths in
2018; hence, early cancer detection is crucial. Early detection involves developing more …
2018; hence, early cancer detection is crucial. Early detection involves developing more …
Class overlap handling methods in imbalanced domain: A comprehensive survey
Class overlap in imbalanced datasets is the most common challenging situation for
researchers in the fields of deep learning (DL) machine learning (ML), and big data (BD) …
researchers in the fields of deep learning (DL) machine learning (ML), and big data (BD) …
Artificial intelligence and IoT based prediction of Covid-19 using chest X-ray images
Abstract Coronavirus illness (COVID-19), discovered in late 2019, has spread rapidly
worldwide, resulting in significant mortality. This study analyzed the performance of studies …
worldwide, resulting in significant mortality. This study analyzed the performance of studies …
A review on recent deep learning techniques, challenges and its applications for medical healthcare system
Deep learning is based on artificial neural networks, a critical study topic in recent decades.
There are many reasons for deep learning's widespread acceptance as the overfitting …
There are many reasons for deep learning's widespread acceptance as the overfitting …
A review on machine learning techniques for the diagnosis of cancer
Considering the rising inclination toward the application of Machine Learning (ML)
approaches in cancer investigations, we have illustrated techniques employed in the most …
approaches in cancer investigations, we have illustrated techniques employed in the most …