Artificial Intelligence (AI) in Family Medicine – A Summary

Article ID

USZB7

Artificial Intelligence in Family Medicine.

Artificial Intelligence (AI) in Family Medicine – A Summary

Rohan S Kulkarni
Rohan S Kulkarni
Salva G Ahmed
Salva G Ahmed
Sunil S Kulkarni
Sunil S Kulkarni
Virendra K Bhojwani
Virendra K Bhojwani
DOI

Abstract

This bibliographic review evaluates Artificial Intelligence (AI) theory’s applications in the field of Family Medicine. Globally billions of people suffer from multiple health related issues throughout their lives including diseases of the heart, lungs, kidney, diabetes, and many forms of cancer. Diagnosis, remedy, and prevention of these disorders are multifaceted, and machine/computer based investigative tools for doctors are immediately needed to augment their decision-making. This study includes various applications of AI/machine learning (AI/ML) procedures in family medicine and its various sub-specialties. AI/ML-centered medicine offers better solutions over standard family medicine covering birth through end of life care. These include treatments for adolescents, geriatrics, disorders of pain and sleep, and sports injuries. However, several implementation hurdles for AI in clinical family medicine persist.

Artificial Intelligence (AI) in Family Medicine – A Summary

This bibliographic review evaluates Artificial Intelligence (AI) theory’s applications in the field of Family Medicine. Globally billions of people suffer from multiple health related issues throughout their lives including diseases of the heart, lungs, kidney, diabetes, and many forms of cancer. Diagnosis, remedy, and prevention of these disorders are multifaceted, and machine/computer based investigative tools for doctors are immediately needed to augment their decision-making. This study includes various applications of AI/machine learning (AI/ML) procedures in family medicine and its various sub-specialties. AI/ML-centered medicine offers better solutions over standard family medicine covering birth through end of life care. These include treatments for adolescents, geriatrics, disorders of pain and sleep, and sports injuries. However, several implementation hurdles for AI in clinical family medicine persist.

Rohan S Kulkarni
Rohan S Kulkarni
Salva G Ahmed
Salva G Ahmed
Sunil S Kulkarni
Sunil S Kulkarni
Virendra K Bhojwani
Virendra K Bhojwani

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Saagar S Kulkarni. 2026. “. Global Journal of Medical Research – C: Microbiology & Pathology GJMR-C Volume 23 (GJMR Volume 23 Issue C3): .

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Crossref Journal DOI 10.17406/gjmra

Print ISSN 0975-5888

e-ISSN 2249-4618

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GJMR-C Classification: (NLM) code: W 26.5
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Artificial Intelligence (AI) in Family Medicine – A Summary

Rohan S Kulkarni
Rohan S Kulkarni
Salva G Ahmed
Salva G Ahmed
Sunil S Kulkarni
Sunil S Kulkarni
Virendra K Bhojwani
Virendra K Bhojwani

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