Artificial intelligence based music therapy intervention in cancer patients undergoing chemotherapy in oncology day care (MUSICC).

S Sujith Kumar Mullapally (Apollo Proton Cancer Centre, Chennai, India) P Pankaj Kumar Panda (National Cancer Centre Singapore, Singapore, Singapore) K Kalaivani C (Apollo Proton Cancer Centre, Chennai, India) G Gokulakrishnan T (Apollo Proton Cancer Centre, Chennai, India) P Pavan Deepak Mandigala Venkata Ramana (Apollo Proton Cancer Centre, Chennai, India) V Venkata Siva Kiran Kumar Dasapathi (Apollo Proton Cancer Centre, Chennai, India) S Sridhar Pallia (DigiNxtHlt Solutions, Chennai, India) S Sujatha Visweswara (DigiNxtHlt Solutions, Chennai, India)

Abstract

1578 Background: Studies on the role of music therapy for improving the quality of life of cancer patients are scarce. Artificial intelligence (AI) is being increasingly utilised in healthcare universally. Echo Care ©DigiNxtHlt Solutions leverages AI technology multi-class neural networks to make personalised recommendations by learning continuously from patients' usage and interactions. We aim to study impact of this AI based music therapy in health-related quality of life (HR-QOL) in cancer patients undergoing chemotherapy. Methods: A pilot interventional study for 50 consecutive cancer patients being administered chemotherapy at daycare facility was conducted. After informed consent, each patient underwent assessments during chemotherapy on week 1, week 3 and week 6. Vitals assessment, FACT G7 and HADS assessment was done at baseline, 3 rd week and 6 th week.30 minutes experience of sounds rendered by “echo Care” AI based application ©DigiNxtHlt Solutions was provided at each session of chemotherapy at 1 st week, 3 rd week and 6 th week. Vitals were checked on admission to daycare unit followed by HR-QOL assessments which were done on digital platform by patients using unique ID and password. After completing the FACT G7 and HADS assessment, option was given to select from multiple music modules generated by AI based on data entered by patients. Once they completed the 30min session, post session vitals were measured. Qualitative feedback also was collected. The primary objective was quality of life as defined by FACT G7/ HADS scores and secondary endpoint was change in physiological vital parameters at baseline, 3 weeks, 6 weeks. Statistical analysis done by SPSS version 22.0. Results: A total of 50 patients were enrolled for the study during study period from March 2023 to Dec 2024. Mean HADS score for depression was 10.2 +/-4 and for anxiety was 7.5 +/- 3. 40% patients had high HADS score for anxiety. 18% had high HADS score for depression.50% of patients had improvement in HADS score for anxiety and depression whereas 50% did not have much change in their scores. Mean FACT-G7 score is 13.5+/-2 with majority having value less than 16 (70%). From qualitative feedback, 25% reported “very satisfied”, whereas 75% reported to be “satisfied” with music intervention. 54% patients felt less anxious, 50% had calming effect and masking of pain, 37.5% felt mood elevation, positivity and closer to their family. 30% patients felt muscle relaxing effect. 37.5% felt sleepy during music session with 25% not feeling any change in them during the sessions. Conclusions: Artificial intelligence-based music therapy intervention in cancer patient undergoing chemotherapy shows promising results in terms of health-related quality of life, satisfaction and experience and can be offered to cancer patients as a non-pharmacological intervention to improve their quality of life during their treatment. Clinical trial information: CTRI/2023/03/050509 .

Article Details

Volume / Issue Vol. 43, Issue 16_suppl
Published June 01, 2025
Pages 1578-1578
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (8)

S

Sujith Kumar Mullapally

Apollo Proton Cancer Centre, Chennai, India

P

Pankaj Kumar Panda

National Cancer Centre Singapore, Singapore, Singapore

K

Kalaivani C

Apollo Proton Cancer Centre, Chennai, India

G

Gokulakrishnan T

Apollo Proton Cancer Centre, Chennai, India

P

Pavan Deepak Mandigala Venkata Ramana

Apollo Proton Cancer Centre, Chennai, India

V

Venkata Siva Kiran Kumar Dasapathi

Apollo Proton Cancer Centre, Chennai, India

S

Sridhar Pallia

DigiNxtHlt Solutions, Chennai, India

S

Sujatha Visweswara

DigiNxtHlt Solutions, Chennai, India