Manoj Pandyan G e al. Knowledge, A i ude, and P ac ice Towa ds A i icial In elligence Among Pos g adua e Medical
S uden s in Tamil Nadu: A C oss-Sec ional S udy. In . J Med. Pha m. Res., 6 (6): 234‐237, 2025
234
In e na ional Jou nal o Medical
and Pha maceu ical Resea ch
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O iginal A icle
Knowledge, A i ude, and P ac ice Towa ds A i icial In elligence Among
Pos g adua e Medical S uden s in Tamil Nadu: A C oss-Sec ional S udy
Manoj Pandyan G1, Vijayalakshmi S2, Raja T.A.R2, Sen hil G2, Razia A.R3, Renuga De i P3
1 Pos g adua e, Depa men o Pha macology, Melma u a hu Adhipa asak hi Ins i u e o Medical sciences, Tamil Nadu.
2 P o esso , Depa men o Pha macology, Melma u a hu Adhipa asak hi Ins i u e o Medical sciences, Tamil Nadu.
3 Assis an P o esso , Depa men o Pha macology, Melma u a hu Adhipa asak hi Ins i u e o Medical sciences, Tamil Nadu.
A B S T R A C T
Co esponding Au ho :
Manoj Pandyan G
Pos g adua e, Depa men o
Pha macology, Melma u a hu
Adhipa asak hi Ins i u e o
Medical sciences, Tamil Nadu.
Recei ed: 14-10-2025
Accep ed: 29-10-2025
A ailable online: 12-11-2025
Backg ound: A i icial In elligence (AI) is e olu ionizing medical educa ion and
clinical decision-making. Despi e i s g owing impo ance, s uc u ed aining
among pos g adua e (PG) medical s uden s emains limi ed1. This s udy aims o
assess he knowledge, a i ude, and p ac ice (KAP) owa ds AI among pos g adua e
medical s uden s in Tamil Nadu3.
Me hods: A desc ip i e c oss-sec ional online su ey was conduc ed among 74
pos g adua e medical s uden s using a alida ed Google Fo m. The ques ionnai e
assessed awa eness, pe cep ion, and p ac ical exposu e owa d AI in medicine2.
Da a we e analyzed using desc ip i e s a is ics and displayed as cha s o be e
isualiza ion4.
Resul s: Among esponden s, 91.9% we e awa e o AI and 58.1% knew i s medical
applica ions. Howe e , only 29.7% had o mal aining. While 87% suppo ed AI
in eg a ion in o he cu iculum, 59% exp essed conce n abou e hical issues and
da a secu i y. A posi i e a i ude was obse ed in o e 80% o pa icipan s owa d
AI’s ole in imp o ing diagnos ics and accessibili y.
Conclusion: Pos g adua e s uden s exhibi high en husiasm o AI in eg a ion,
hough knowledge gaps pe sis . Inco po a ion o s uc u ed AI aining and e hical
sensi iza ion wi hin medical cu icula is c ucial o u u e- eady heal hca e
p o essionals.
Copy igh © In e na ional Jou nal o
Medical and Pha maceu ical Resea ch
Keywo ds: A i icial in elligence, (KAP), heal hca e echnology, e hics.
INTRODUCTION
A i icial In elligence (AI) e e s o he simula ion o human in elligence in machines ha a e p og ammed o hink and
lea n. I s applica ions in heal hca e include diagnos ic imaging, d ug disco e y, p edic i e analy ics, and pe sonalized
ea men plans5. Howe e , he unde s anding o AI among medical ainees is s ill e ol ing. S udies om de eloped
na ions such as F ance and he UK show ha while en husiasm owa d AI is high, ac ual compe ency emains low7. In
India, he e is a sca ci y o da a on AI- ela ed knowledge among pos g adua e medical s uden s, which p omp ed his
s udy6.
OBJECTIVE
To assess Knowledge o A i icial in elligence among Pos g adua e medical s uden s a a e ia y ca e ins i u e
To assess A i ude o A i icial in elligence among Pos g adua e medical s uden s a a e ia y ca e ins i u e
To assess P ac ice o A i icial in elligence among Pos g adua e medical s uden s a a e ia y ca e ins i u e
MATERIALS AND METHODS
S udy Design: A desc ip i e c oss-sec ional s udy was conduc ed be ween Oc obe 2024 o Janua y 2025 among
pos g adua e medical s uden s in Tamil Nadu. An online Google Fo m ques ionnai e based on alida ed in e na ional
ools was used o assess knowledge, a i ude, and p ac ice owa d AI.
Inclusion C i e ia: Pos g adua e medical s uden s in Melma u a hu Adhipa asak hi Medical college.
Manoj Pandyan G e al. Knowledge, A i ude, and P ac ice Towa ds A i icial In elligence Among Pos g adua e Medical
S uden s in Tamil Nadu: A C oss-Sec ional S udy. In . J Med. Pha m. Res., 6 (6): 234‐237, 2025
235
Exclusion C i e ia: S uden s unwilling o pa icipa e o incomple e esponses.
Da a Analysis: Collec ed da a we e en e ed in o Mic oso Excel SPSS 22.0 and analyzed using desc ip i e s a is ics.
Resul s we e exp essed as equency and pe cen age. G aphical ep esen a ion (ba cha s, pie cha s, and
an h opome ic-s yle diag ams) we e gene a ed o isualize KAP ends.
RESULTS
Ou o 74 pa icipan s, 91.9% we e awa e o AI, while only 40.5% had s ong ounda ional knowledge. Abou 58.1%
iden i ied medical applica ions o AI, whe eas o mal eaching exposu e was only 29.7%. AI- ela ed cou se pa icipa ion
was limi ed (32.4%), and e hical awa eness emained mode a e (59%). Howe e , a posi i e a i ude owa d AI’s ole in
clinical imp o emen was seen in o e 80% o esponden s.
Manoj Pandyan G e al. Knowledge, A i ude, and P ac ice Towa ds A i icial In elligence Among Pos g adua e Medical
S uden s in Tamil Nadu: A C oss-Sec ional S udy. In . J Med. Pha m. Res., 6 (6): 234‐237, 2025
236
DISCUSSION
The s udy demons a es ha pos g adua e s uden s possess s ong awa eness bu limi ed o mal educa ion on AI. This
e lec s a global pa e n whe e en husiasm p ecedes s uc u ed aining10. The indings a e compa able o hose o Pe ie
e al. (2022), who epo ed ha only 5% o young pedia icians had ecei ed AI aining1 Ba ie s such as lack o
cu iculum in eg a ion, insu icien acul y aining, and absence o in e disciplina y exposu e con ibu e o his gap12.
S uden s exp essed e hical and da a secu i y conce ns, aligning wi h he global need o obus AI go e nance11.
Ne e heless, he willingness o adop AI-based ools and he demand o o mal aining e lec eadiness among
medical ainees o digi al ans o ma ion in heal hca e13.
Abo e is a ep esen a i e diag am showing p opo ional dis ibu ion o Knowledge, A i ude, and P ac ice le els
(An h opome ic-s yle isualiza ion).
CONCLUSION
The s udy concludes ha while pos g adua e medical s uden s in Tamil Nadu a e awa e o AI and i s po en ial, he e
exis s a signi ican gap in s uc u ed lea ning8. In oducing AI modules in medical cu iculum, along wi h acul y
sensi iza ion and hands-on wo kshops, is i al. A mul idisciplina y app oach in eg a ing medicine, da a science, and
e hics can b idge his educa ional di ide9.
REFERENCES
1. Pe ie E, Ri ai M, Te zic A, Dubois C, Cohen JF. Knowledge, a i udes, and p ac ices owa ds a i icial in elligence
among young pedia icians: A na ionwide su ey in F ance. F on Pedia . 2022; 10:1065957.
2. Ji Y, Ji Y, Liu Y, Zhao Y, Zhang L. Resea ch p og ess on diagnosing e inal ascula diseases based on a i icial
in elligence and undus images. F on Cell De Biol 2023; 11:1168327.
3. Fang B, Yu J, Chen Z, Osman AI, Fa ghali M, Iha a I, e al. A i icial in elligence o was e managemen in sma
ci ies: A e iew. En i on Chem Le 2023; 21:1-31.
4. Vodano ić M, Subašić M, Miloše ić D, Sa ić Pa ičin I. A i icial in elligence in medicine and den is y. Ac a
S oma ol C oa 2023; 57:70-84.
5. Chen M, Zhang B, Cai Z, See y S, Gonzalez MJ, Ali N, e al. Accep ance o clinical a i icial in elligence among
physicians and medical s uden s: A sys ema ic e iew wi h c oss-sec ional su ey. F on Med (Lausanne) 2022;
9:990604.
6. S a ani MR, Kuma SB, Na een A, Venka JN. Awa eness o medical s uden s abou he ole o a i icial
in elligence in heal h ca e: A su ey-based c oss-sec ional s udy. Na l J Physiol Pha m Pha macol 2024;14:490-4.
7. Tajaldeen A, Alghamdi S. E alua ion o adiologis ’s knowledge abou he a i icial in elligence in diagnos ic
adiology: A su ey-based s udy. Ac a Radiol open 2020;9:7-11.
8. Meh a N, Ha ish V, Bilimo ia K, Mo gado F, Ginsbu g S, Law M, e al. Knowledge and a i udes on a i icial
in elligence in heal hca e: A p o incial su ey s udy o medical s uden s. MedEd Publish 2021;10:75.
9. Dahe OA, Dabbousi AA, Cham oukh R, Saab AY, Al Ayoubi AR, Salameh P. A i icial in elligence: Knowledge
and a i ude among lebanese medical s uden s. Cu eus 2024;16:e51466.
10. Pa a ha a hine CR, Phani K ishna MK, Janaki CS, Sophia M, Chanda SN. Awa eness abou he u u e o
a i icial in elligence in heal hca e among medical s uden s in Kancheepu am dis ic , Tamil Nadu. In J Heal h Sci
2022; 6:5697-705.
11. Jha N, Shanka PR, Al-Be a MA, Mukhia R, Hada K, Palaian S. Unde g adua e medical s uden s’ and in e ns’
knowledge and pe cep ion o a i icial in elligence in medicine. Ad Med Educ P ac 2022;13:927-37.
12. Allam AH, El ewacy NK, Alabdalla YJ, Owais TA, Salman S, Ebada MA, e al. Knowledge, a i ude, and
pe cep ion o A ab medical s uden s owa ds a i icial in elligence in medicine and adiology: A mul i-na ional
c oss-sec ional s udy. Eu Radiol 2023; 1:1-14.
13. Pe ie E, Ri ai M, Te zic A, Dubois C, Cohen JF. Knowledge, a i udes, and p ac ices owa ds a i icial in elligence
among young pedia icians: A na ionwide su ey in F ance. F on Pedia . 2022 Dec 23;10:1065957.
Knowledge, A i ude, and P ac ice Summa y Table
This able summa izes he esponses om pos g adua e medical s uden s in Tamil Nadu ega ding hei knowledge,
a i ude, and p ac ices owa d A i icial In elligence (AI) in medicine.
Ques ion
AGREE
DISAGREE
NO
YES
1. Do you know wha A i icial In elligence Is?
0 (0.0%)
0 (0.0%)
6 (8.1%)
68 (91.9%)
2. Do you ha e a solid knowledge o he basics o AI?
0 (0.0%)
0 (0.0%)
44 (59.5%)
30 (40.5%)
3. Do you know abou any applica ion o A i icial
In elligence in he Medical Field ?
0 (0.0%)
0 (0.0%)
31 (41.9%)
43 (58.1%)
4. Ha e you e e been augh abou A i icial
In elligence in Medical School?
0 (0.0%)
0 (0.0%)
52 (70.3%)
22 (29.7%)
5. Ha e you a ended any P e ious online/o line
0 (0.0%)
0 (0.0%)
50 (67.6%)
24 (32.4%)
Manoj Pandyan G e al. Knowledge, A i ude, and P ac ice Towa ds A i icial In elligence Among Pos g adua e Medical
S uden s in Tamil Nadu: A C oss-Sec ional S udy. In . J Med. Pha m. Res., 6 (6): 234‐237, 2025
237
cou ses ega ding A i icial In elligence?
6. Do you unde s and he ba ie s o applying A i icial
In elligence in Medicine?
0 (0.0%)
0 (0.0%)
43 (58.1%)
31 (41.9%)
7. Do You Know abou Machine Lea ning and deep
lea ning (sub ypes o AI)
0 (0.0%)
0 (0.0%)
58 (78.4%)
16 (21.6%)
8. Do you hink ha AI will help o P ac i ione s in
ea ly diagnosis and assessmen o he se e i y o
Disease?
62 (83.8%)
12 (16.2%)
0 (0.0%)
0 (0.0%)
9.Do you hink clinical AI will be mo e accu a e han
physicians?
14 (18.9%)
60 (81.1%)
0 (0.0%)
0 (0.0%)
10. Do you belie e some special ies a e mo e p one o
be eplaced by AI han o he s?
41 (55.4%)
33 (44.6%)
0 (0.0%)
0 (0.0%)
11.Do you belie e ha AI eplace physicians in he
Fu u e?
19 (25.7%)
55 (74.3%)
0 (0.0%)
0 (0.0%)
12.Do you belie e AI is essen ial in he Field o
Pha macology?
53 (71.6%)
21 (28.4%)
0 (0.0%)
0 (0.0%)
13. . Do you belie e AI would be a bu den o
p ac i ione ?
33 (44.6%)
41 (55.4%)
0 (0.0%)
0 (0.0%)
14.Do you belie e AI would inc ease he pe cen age o
e o s in diagnosis?
40 (54.1%)
34 (45.9%)
0 (0.0%)
0 (0.0%)
15. Ha e you e e hea d abou Speci ic aining in
A i icial In elligence in Medical Field ?
0 (0.0%)
0 (0.0%)
43 (58.1%)
31 (41.9%)
16. Ha e you e e encoun e ed AI ools in You
Medical P ac ice ?
0 (0.0%)
0 (0.0%)
55 (74.3%)
19 (25.7%)
17.Do you hink AI will help analyze pa ien Medical
Da a o come up wi h Po en ial diagnoses?
0 (0.0%)
0 (0.0%)
14 (18.9%)
60 (81.1%)
18.Will AI make you ask easy?
0 (0.0%)
0 (0.0%)
4 (5.4%)
70 (94.6%)
19.Would you like o use AI in Medical Field in
Fu u e?
0 (0.0%)
0 (0.0%)
9 (12.9%)
61 (87.1%)
20.Do you hink Doc o s Should ecei e Speci ic
aining on he use o AI ools in he heal h ca e?
0 (0.0%)
0 (0.0%)
5 (7.0%)
66 (93.0%)
21.Do you hink AI will e olu ionize Medicine?
0 (0.0%)
0 (0.0%)
6 (8.5%)
65 (91.5%)
