Abstract
Technology integration in diagnostic care is transforming healthcare by improving the precision, efficiency, and accessibility of diagnostic procedures. This chapter examines the pivotal functions of artificial intelligence (AI), machine learning (ML), telemedicine, wearable technologies, genomics, and big data analytics in revolutionizing diagnostics. Ethical considerations and obstacles, including data privacy, algorithmic bias, and equal access, are examined alongside prospective paths for technology breakthroughs in diagnostics. By resolving these difficulties, we can fully leverage technology's promise to establish a more efficient and patient-centered healthcare system.
| Original language | English |
|---|---|
| Title of host publication | Diagnostic Advances in Precision Medicine and Drug Development |
| Publisher | CRC Press |
| Pages | 1-10 |
| Number of pages | 10 |
| ISBN (Electronic) | 9781040356555 |
| ISBN (Print) | 9781032781716 |
| DOIs | |
| Publication status | Published - 1 Jan 2025 |