Gmai-mmbench: A comprehensive multimodal evaluation benchmark towards general medical ai

J Ye, G Wang, Y Li, Z Deng, W Li, T Li… - Advances in …, 2025 - proceedings.neurips.cc
Abstract Large Vision-Language Models (LVLMs) are capable of handling diverse data
types such as imaging, text, and physiological signals, and can be applied in various fields …

A bi-directional deep learning architecture for lung nodule semantic segmentation

D Bhattacharyya, N Thirupathi Rao, ESN Joshua… - The Visual …, 2023 - Springer
Lung nodules are abnormal growths and lesions may exist. Both lungs may have nodules.
Most lung nodules are harmless (not cancerous/malignant). Pulmonary nodules are rare in …

Knee osteoarthritis grading using DenseNet and radiographic images

SV Chaugule, VS Malemath - SN Computer Science, 2022 - Springer
Osteoarthritis (OA) is the constant dilapidation of the bone joint. Knee OA is most typical,
which affects mobility. Joint pain, swelling, stiffness, and strenuous walking are major …

DNN-based knee OA severity prediction system: pathologically robust feature engineering approach

D Ruikar, P Kamble, A Ruikar, K Houde… - SN Computer Science, 2022 - Springer
Osteoarthritis (OA) is a common chronic health condition of bone joints. It gradually leads
severe pain and disability. Over the last 2 decades, the effect of OA is noticed more in the …

AI solutions to public health issues

KC Santosh, L Gaur, KC Santosh, L Gaur - Artificial Intelligence and …, 2021 - Springer
Statistics and ML set the base for AI; presently, radical advances are ongoing in deep neural
networks. It has established great interest in science, medicine, and public health …

[PDF][PDF] Innovative inter quartile range-based outlier detection and removal technique for teaching staff performance feedback analysis

V Magar, D Ruikar, S Bhoite… - Journal of …, 2024 - sciresol.s3.us-east-2.amazonaws …
The teaching-learning process plays an important role in education. To improve this process
valuable and timely feedback is taken from the students. That feedback can be used for two …

Ensemble deep convolutional neural network to identify fractured limbs using CT scans

A Khanal, R Rizk, KC Santosh - 2023 IEEE Conference on …, 2023 - ieeexplore.ieee.org
Accurate classification between fractured and intact bones in Computed Tomography (CT)
scan serves as a precursor to further treatment planning. CNN is no exception to handle this …

VGG-16, VGG-16 With Random Forest, Resnet50 with SVM, EfficientNetB0 with XGBoost-Enhancing Bone Fracture Classification in X-Ray Using Deep Learning …

S Torne, DK Shetty, K Makkithaya, P Hegde… - IEEE …, 2025 - ieeexplore.ieee.org
Millions of cases of bone fractures are reported every year, and accuracy in classification is
crucial to help with proper management and treatment. The recently developed techniques …

Automated Fracture Detection from CT Scans

AK Chaudhary, S Roy, R Rizk… - 2023 IEEE Conference …, 2023 - ieeexplore.ieee.org
Computed Tomography (CT) scans play a crucial role in modern medical imaging for
detecting bone fractures. However, identifying the location and position of broken bones can …

Applied AI Use Cases—From Number to Image Data

KC Santosh, R Rizk, SK Bajracharya - Cracking the Machine Learning …, 2024 - Springer
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