Category: artificial intelligence

Artificial intelligence is the ability of a system to think like humans, discover the meaning, and execute the tasks. Recent advancements in the AI domain (e.g. deep learning, machine learning) have contributed to an invariable increase in the popularity of this technology across several industries, having impacted the healthcare industry at a significant scale. Machine

In the last decade, the popularity of AI has grown invariably. Specifically, it has made a considerable impact in the medical sector and oncologic treatment as well, due to a surge in electronic data, breakthroughs in technological infrastructure and groundbreaking research in deep learning neural networks. AI has demonstrated potential in improving tumor imaging diagnosis

How is AI being used in Digital Pathology? Digital pathology is a transformative technology that has enabled pathologists to make the shift from visual inspection of tissue samples to automated image analysis. With the advent of AI, pathologists are now benefiting from computerized image analysis software that can draw conclusions and deliver diagnoses in a

Teleradiology is a branch of telemedicine that uses telecommunication systems for the transmission of radiological images from one location to another. Additionally, it helps the radiologists to interpret various types of images, such as computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), ultrasound, and X-rays, remotely. As of late, teleradiology has piqued

Drug discovery is a complex process which involves significant utilization of time and resources. As per several sources, on an average, the entire drug development process (from initial proof-of-concept to commercial launch) takes around 10-15 years and capital investments worth USD 4-10 billion to develop a drug from concept to commercial launch. The early stages

Artificial Intelligence have demonstrated intelligent behavior through their ability to learn, communicate with its users and solve complex problems using highly sophisticated algorithms. AI-driven technologies have continued to evolve rapidly, with several industries increasingly deploying such solutions across key aspects of value chain. Furthermore, AI is also made with same idea of making tasks simpler