The Transformational Impact of Artificial Intelligence in Healthcare

Artificial intelligence (AI) has significantly impacted healthcare, transforming various aspects of medical practice.From its early applications in automated ECG interpretation to its current use in radiology, pathology, and predictive analytics, AI has demonstrated its potential to enhance patient outcomes and streamline clinical workflows.AI-driven platforms now assist in tasks such as generating comprehensive patient notes, recommending treatments, and providing patient education in multiple formats.However, the integration of AI in healthcare also presents challenges, including issues of data ownership, patient consent, and the potential for algorithmic bias.As AI continues to evolve, it is crucial to establish robust ethical guidelines and transparent policies to mitigate risks and ensure the responsible use of AI in medicine.

Authors

Publication Details

Journal
Lynchburg Journal of Medical Science
Published
2025-06-27
DOI
https://doi.org/10.63932/3067-7106.1032
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Transformational Impact of Artificial Intelligence in Healthcare

Lawrence Herman
Lynchburg Journal of Medical Science
Artificial Intelligence in Healthcare and Education
article

The Transformational Impact of Artificial Intelligence in Healthcare

Lawrence Herman
article en

Abstract

Artificial intelligence (AI) has significantly impacted healthcare, transforming various aspects of medical practice.From its early applications in automated ECG interpretation to its current use in radiology, pathology, and predictive analytics, AI has demonstrated its potential to enhance patient outcomes and streamline clinical workflows.AI-driven platforms now assist in tasks such as generating comprehensive patient notes, recommending treatments, and providing patient education in multiple formats.However, the integration of AI in healthcare also presents challenges, including issues of data ownership, patient consent, and the potential for algorithmic bias.As AI continues to evolve, it is crucial to establish robust ethical guidelines and transparent policies to mitigate risks and ensure the responsible use of AI in medicine.

Lynchburg Journal of Medical ScienceVol. 1(2)
Openalex Percentile: Top 89%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.