AI in Diagnostics: Improving Accuracy and Efficiency

Authors

  • Casey Hill PhD
  • Chris Anderson Dr.
  • Morgan Mitchell Prof.

Keywords:

artificial intelligence, diagnostics, healthcare, imaging, pathology

Abstract

This article investigates the impact of artificial intelligence (AI) on diagnostic practices in healthcare. AI technologies have enhanced diagnostic accuracy and efficiency, leading to improved patient outcomes. The study evaluates AI tools and algorithms used in various diagnostic procedures, including imaging and pathology. By analyzing recent advancements and case studies, the article highlights AI's role in revolutionizing diagnostics and its potential to further transform healthcare delivery. The findings advocate for integrating AI into routine diagnostic practices to enhance healthcare quality.

Author Biographies

Casey Hill, PhD

PhD
University of Amsterdam
Spui 21, 1012 WX Amsterdam, Netherlands

Chris Anderson, Dr.

Dr.
Karolinska Institute
171 77 Stockholm, Sweden

Morgan Mitchell, Prof.

Prof.
University of Zurich
Rämistrasse 71, 8006 Zürich, Switzerland

References

Сабри, М. (2022). Cervical Cancer Prevention: Awareness Assessment Research of Healthy and Disease-Affected Women / Профилактика на рака на маточната шийка: оценка на информираността при здрави и болни жени (Doctoral dissertation). Medical University of Varna. [Sabri, M. (2022). Cervical Cancer Prevention: Awareness Assessment Research of Healthy and Disease-Affected Women / Profilaktika na raka na matochnata shiyka: otsenka na informiranostta pri zdravi i bolni zheni (Doctoral dissertation). Medical University of Varna]. Available at: https://repository.mu-varna.bg/handle/nls/2725

Sabri, M. (2021, August). Prophylactic Examinations For Cervical Cancer–Mandatory Precaution That Can Save A Life. In Varna Medical Forum (Vol. 10, No. 2, pp. 443-448).

Published

2026-02-26

Issue

Section

Articles