Sravya Sri Kuchibhotla

All Publications

• Scoping review of deep learning research illuminates artificial intelligence chasm in otolaryngology-head and neck surgery. NPJ digital medicine Liu, G. S., Fereydooni, S., Lee, M. C., Polkampally, S., Huynh, J., Kuchibhotla, S., Shah, M. M., Ayoub, N. F., Capasso, R., Chang, M. T., Doyle, P. C., Holsinger, F. C., Patel, Z. M., Pepper, J. P., Sung, C. K., Creighton, F. X., Blevins, N. H., Stankovic, K. M. 2025; 8 (1): 265

  Abstract

  Clinical validation studies are important to translate artificial intelligence (AI) technology in healthcare but may be underperformed in Otolaryngology - Head & Neck Surgery (OHNS). This scoping review examined deep learning publications in OHNS between 1996 and 2023. Searches on MEDLINE, EMBASE, and Web of Science databases identified 3236 articles of which 444 met inclusion criteria. Publications increased exponentially from 2012-2022 across 48 countries and were most concentrated in otology and neurotology (28%), most targeted extending health care provider capabilities (56%), and most used image input data (55%) and convolutional neural network models (63%). Strikingly, nearly all studies (99.3%) were in silico, proof of concept early-stage studies. Three (0.7%) studies conducted offline validation and zero (0%) clinical validation, illuminating the "AI chasm" in OHNS. Recommendations to cross this chasm include focusing on low complexity and low risk tasks, adhering to reporting guidelines, and prioritizing clinical translation studies.

  View details for DOI 10.1038/s41746-025-01693-0

  View details for PubMedID 40346307

  View details for PubMedCentralID 9391954

• Gamification to enhance clinical and technical skills in surgical residency: A systematic review. American journal of surgery Samadzadeh Tabrizi, N., Lin, N., Polkampally, S., Kuchibhotla, S., Lin, Y. 2025: 116339

  Abstract

  Gamification has emerged as an adjunct to traditional teaching methods, however, literature on its application in surgical education is limited. We sought to explore the prevalence and impact of gamification techniques among surgical trainees.A systematic review was performed to identify studies using gamification in surgical training, where gamification was defined as the use of game elements to foster competition.Surgical residents.Twenty-two studies, including 1283 participants, described the use of gamification in surgical education. Thirteen studies focused on knowledge-based games and ten on technical skills. Gamification was associated with improvements in technical performance, knowledge acquisition, and overall engagement among surgical trainees. Additionally, satisfaction surveys indicated a positive reception of gamification as an educational tool.Gamification presents a promising approach to enhancing the performance of surgical trainees in an engaging learning environment.

  View details for DOI 10.1016/j.amjsurg.2025.116339

  View details for PubMedID 40274424

• INCREASING ACCESS TO TELEHEALTH BY ENROLLING PATIENTS IN THE AFFORDABLE CONNECTIVITY PROGRAM Jain, B., Shah, K. M., Patel, P., Martinez, M., Kuchibhotla, S. S., Martin, A. SPRINGER. 2024: S520

  View details for Web of Science ID 001433572701275

• Transcriptomic responses to antibiotic exposure in Mycobacterium tuberculosis. Antimicrobial agents and chemotherapy Poonawala, H., Zhang, Y., Kuchibhotla, S., Green, A. G., Cirillo, D. M., Di Marco, F., Spitlaeri, A., Miotto, P., Farhat, M. R. 2024; 68 (5): e0118523

  Abstract

  Transcriptional responses in bacteria following antibiotic exposure offer insights into antibiotic mechanism of action, bacterial responses, and characterization of antimicrobial resistance. We aimed to define the transcriptional antibiotic response (TAR) in Mycobacterium tuberculosis (Mtb) isolates for clinically relevant drugs by pooling and analyzing Mtb microarray and RNA-seq data sets. We generated 99 antibiotic transcription profiles across 17 antibiotics, with 76% of profiles generated using 3-24 hours of antibiotic exposure and 49% within one doubling of the WHO antibiotic critical concentration. TAR genes were time-dependent, and largely specific to the antibiotic mechanism of action. TAR signatures performed well at predicting antibiotic exposure, with the area under the receiver operating curve (AUC) ranging from 0.84-1.00 (TAR <6 hours of antibiotic exposure) and 0.76-1.00 (>6 hours of antibiotic exposure) for upregulated genes and 0.57-0.90 and 0.87-1.00, respectfully, for downregulated genes. This work desmonstrates that transcriptomics allows for the assessment of antibiotic activity in Mtb within 6 hours of exposure.

  View details for DOI 10.1128/aac.01185-23

  View details for PubMedID 38587412

  View details for PubMedCentralID PMC11064486