Artificial Intelligence (AI) in Healthcare: Blessing in Disguise?

ABSTRACT

As we stand on the brink of a new era, artificial intelligence (AI) heralds an unprecedented revolution in how we live, work, and think. AI, with its ability to analyze vast swathes of data and learn with an efficiency beyond human capability, promises to solve some of our most intractable challenges, from healthcare to environmental sustainability. This paper briefly explores the various aspects of AI in healthcare, how healthcare benefits, its cons, challenges, and AI future in healthcare. The rise of artificial intelligence in healthcare has revolutionized and reshaped the methods of diagnosing, monitoring, and treating patients. According to Statista, the AI market size is projected to rise from 241.8 billion U.S. dollars in 2023 to almost 740 billion U.S. dollars in 2030, accounting for a compound annual growth rate of 17.3% [1]. AI tries to solve the problem of how the human brain does with its all senses, vision, hearing, speech, and thoughts. Healthcare immensely utilizes AI potential in every aspect but not limited to patient care, disease management, workflow automation, fraud detection, drug discovery, robotic surgery, cyber security, etc. Although AI has stepped up on the right foot, evidencing a good team player but still managing huge amounts of data, data privacy, and security, the immature rollout of AI models are some of the protuberant challenges for the AI industry, and handling them inappropriately may risk humans. Let us sail not into the storm, but towards a bright horizon of possibility.