Abstract

Artificial intelligence (AI) and machine learning (ML) hold significant promise for transforming healthcare, offering innovative approaches to patient diagnosis, treatment, monitoring, and counseling. These technologies excel in processing and analyzing vast and valuable patient data, collected from a diverse and expansive population.While AI has already contributed to advanced diagnostic and treatment tools, its full potential in healthcare is still emerging. Recent studies have showcased its ability to enhance diagnostic accuracy across various medical specialties, such as radiology, pathology, and dermatology.Telemedicine technology is gaining popularity globally, offering enhanced access to care, resource efficiency, and cost-effectiveness compared to traditional office visits. It has demonstrated positive impacts on clinical outcomes, patient satisfaction, and healthcare system efficiency.During the COVID-19 pandemic, telehealth has proven to be a vital tool for safe and effective patient care, allowing interaction between healthcare professionals and patients while adhering to social distancing guidelines. This present research underscores the significant impact of AI and ML technologies in the healthcare sector, with a particular focus on how telemedicine has played a crucial role in tackling present-day healthcare obstacles, notably in the context of the COVID-19 pandemic

Description