AI-Driven Disease Diagnosis and Medicine Dispensing: A New Era in Healthcare

The integration of artificial intelligence (AI) in healthcare has accelerated dramatically between 2023 and 2025, fundamentally transforming disease diagnosis and pharmaceutical dispensing practices. This review examines the current state and emerging trends of AI-driven healthcare technologies, focusing on diagnostic applications and automated medicine dispensing systems. Recent data indicates that physician adoption of healthcare AI increased by 78% from 2023 to 2024, with two-thirds of physicians now utilizing AI tools in their practice. The convergence of machine learning algorithms, computer vision, and robotics has created unprecedented opportunities for precision medicine, automated pharmacy operations, and enhanced patient outcomes. This paper analyses the technological advancements, clinical applications, market dynamics, and future implications of AI in healthcare delivery systems.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-07
DOI
https://doi.org/10.5281/zenodo.15612466
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Driven Disease Diagnosis and Medicine Dispensing: A New Era in Healthcare

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

AI-Driven Disease Diagnosis and Medicine Dispensing: A New Era in Healthcare

article en

Abstract

The integration of artificial intelligence (AI) in healthcare has accelerated dramatically between 2023 and 2025, fundamentally transforming disease diagnosis and pharmaceutical dispensing practices. This review examines the current state and emerging trends of AI-driven healthcare technologies, focusing on diagnostic applications and automated medicine dispensing systems. Recent data indicates that physician adoption of healthcare AI increased by 78% from 2023 to 2024, with two-thirds of physicians now utilizing AI tools in their practice. The convergence of machine learning algorithms, computer vision, and robotics has created unprecedented opportunities for precision medicine, automated pharmacy operations, and enhanced patient outcomes. This paper analyses the technological advancements, clinical applications, market dynamics, and future implications of AI in healthcare delivery systems.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 62%
Artificial Intelligence in Healthcare and Education
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