ARTIFICIAL INTELLIGENCE: IN PRECISION MEDICINE

Precision medicine is being transformed by artificial intelligence, which now allows for predictive diagnostics and personalized therapies.Machine learning (ML) has made tremendous strides in the medical field of genetics, creating classification models for the identification of autoimmune liver diseases (AiLDs), psoriasis, lesions, and skin cancer.AI is emerging as a crucial tactic in digital pathology to get over the limitations of black-box AI models, especially when it comes to rare pediatric endocrine illnesses.AI has the potential to improve diagnostics, identify susceptible genes, and customize treatment for autoimmune hepatitis.Artificial intelligence has potential for revolutionizing the diagnosis, treatment, and management of thyroid, pituitary, adrenal, and pancreatic cancers in endocrinology.This review discusses the use of artificial intelligence in screening, diagnosis, risk assessment, translational research, and preventative medicine.

Authors

Publication Details

Journal
INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING & TECHNOLOGY
Published
2025-04-19
DOI
https://doi.org/10.34218/ijaret_16_02_022
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

ARTIFICIAL INTELLIGENCE: IN PRECISION MEDICINE

Sudip Mukherjee, Malavika Bhattacharya, Sudeshna Sengupta, Rojina Khatun
INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING & TECHNOLOGY
Machine Learning in Healthcare
article

ARTIFICIAL INTELLIGENCE: IN PRECISION MEDICINE

Sudip Mukherjee, Malavika Bhattacharya, Sudeshna Sengupta, Rojina Khatun
article en

Abstract

Precision medicine is being transformed by artificial intelligence, which now allows for predictive diagnostics and personalized therapies.Machine learning (ML) has made tremendous strides in the medical field of genetics, creating classification models for the identification of autoimmune liver diseases (AiLDs), psoriasis, lesions, and skin cancer.AI is emerging as a crucial tactic in digital pathology to get over the limitations of black-box AI models, especially when it comes to rare pediatric endocrine illnesses.AI has the potential to improve diagnostics, identify susceptible genes, and customize treatment for autoimmune hepatitis.Artificial intelligence has potential for revolutionizing the diagnosis, treatment, and management of thyroid, pituitary, adrenal, and pancreatic cancers in endocrinology.This review discusses the use of artificial intelligence in screening, diagnosis, risk assessment, translational research, and preventative medicine.

INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING & TECHNOLOGYVol. 16(2)
Openalex Percentile: Top 96%
Machine Learning in Healthcare
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ARTIFICIAL INTELLIGENCE: IN PRECISION MEDICINE — Sudip Mukherjee, Malavika Bhattacharya, et al. · INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING & TECHNOLOGY (2025) | TGRS Research Map | TGRS