A Critical Review of the Prospect of Integrating Artificial Intelligence in Infectious Disease Diagnosis and Prognosis DOI Creative Commons
Shuaibu Abdullahi Hudu, Ahmed Subeh Alshrari,

Esra’a Jebreel Ibrahim Abu-Shoura

et al.

Interdisciplinary Perspectives on Infectious Diseases, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

This paper explores the transformative potential of integrating artificial intelligence (AI) in diagnosis and prognosis infectious diseases. By analyzing diverse datasets, including clinical symptoms, laboratory results, imaging data, AI algorithms can significantly enhance early detection personalized treatment strategies. reviews how AI-driven models improve diagnostic accuracy, predict patient outcomes, contribute to effective disease management. It also addresses challenges ethical considerations associated with AI, data privacy, algorithmic bias, equitable access healthcare. Highlighting case studies recent advancements, underscores AI's role revolutionizing management its implications for future healthcare delivery.

Language: Английский

Machine learning in ocular oncology and oculoplasty: Transforming diagnosis and treatment DOI Open Access

Dipali Mane,

Khuspe Pankaj Ramdas

IP International Journal of Ocular Oncology and Oculoplasty, Journal Year: 2025, Volume and Issue: 10(4), P. 196 - 207

Published: Jan. 14, 2025

In the domains of ocular oncology and oculoplasty, machine learning (ML) has become a game-changing technology, providing previously unheard-of levels precision in diagnosis, treatment planning, outcome prediction. Using imaging modalities, genomic data, clinical characteristics, this chapter investigates integration algorithms detection tumours, including retinoblastoma uveal melanoma. Through predictive modelling real-time decision-making, it also emphasises how ML might improve surgical outcomes orbital reconstruction eyelid correction. Automated examination fundus photographs, histological slides, 3D been made possible by methods like deep natural language processing, which have improved individualised therapeutic approaches decreased diagnostic errors. Additionally, use augmented reality robotics surgery is significant development oculoplasty. Notwithstanding its potential, issues data heterogeneity, algorithm interpretability, ethical considerations are roadblocks that need to be addressed. This explores cutting-edge developments, real-world uses, potential future paths, offering researchers doctors thorough resource. Dipali Vikas Mane, Associate Professor, Shriram Shikshan Sanstha’s College Pharmacy, Paniv-413113

Language: Английский

Citations

0
A Critical Review of the Prospect of Integrating Artificial Intelligence in Infectious Disease Diagnosis and Prognosis DOI Creative Commons
Shuaibu Abdullahi Hudu, Ahmed Subeh Alshrari,

Esra’a Jebreel Ibrahim Abu-Shoura

et al.

Interdisciplinary Perspectives on Infectious Diseases, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

This paper explores the transformative potential of integrating artificial intelligence (AI) in diagnosis and prognosis infectious diseases. By analyzing diverse datasets, including clinical symptoms, laboratory results, imaging data, AI algorithms can significantly enhance early detection personalized treatment strategies. reviews how AI-driven models improve diagnostic accuracy, predict patient outcomes, contribute to effective disease management. It also addresses challenges ethical considerations associated with AI, data privacy, algorithmic bias, equitable access healthcare. Highlighting case studies recent advancements, underscores AI's role revolutionizing management its implications for future healthcare delivery.

Language: Английский

Citations

0