Litcius/Paper detail

The Power of AI-Assisted Diagnosis

Jiaji Wang

2023ICST Transactions on e-Education and e-Learning22 citationsDOIOpen Access PDF

Abstract

The rapid advancements in artificial intelligence (AI) have unleashed a wave of transformative technologies, and one area that has witnessed significant progress is AI-assisted diagnosis in healthcare. With the ability to analyze vast amounts of medical data, learn from patterns, and make accurate predictions, AI systems hold immense potential to revolutionize the diagnostic process, enabling earlier detection, improved accuracy, and personalized treatment recommendations. This review aims to explore the impact of AI in healthcare, specifically focusing on its role in assisting physicians with diagnosis, highlighting the benefits, challenges, and ethical considerations associated with the integration of AI systems into clinical practice. Through the utilization of AI's capabilities, the enhancement of patient outcomes, optimization of resource allocation, and the reshaping of medical professionals' approaches to diagnosis and treatment can be achieved.

Topics & Concepts

Transformative learningHealth careProcess (computing)Applications of artificial intelligenceComputer scienceArtificial intelligenceClinical PracticeResource (disambiguation)Risk analysis (engineering)Data scienceMedicinePsychologyPolitical scienceNursingPedagogyComputer networkLawOperating systemArtificial Intelligence in Healthcare and EducationMachine Learning in HealthcareCOVID-19 diagnosis using AI