Loss‐Attention Physics‐Informed Neural Networks for Enhanced Deepfake Detection in Medical Image Classification: A Diagnostic Performance Evaluation

MDD-MI-LAPINN achieves superior accuracy and robustness in detecting medical deepfakes, outperforming existing methods by integrating IUPF and LAPINN for precise and reliable medical image classification.

Authors

Kirti Jain (ORCID: https://orcid.org/0000-0001-6123-6090)
Roshani A. Parate

Institutions

Global College (CY)

Publication Details

Journal: Physiotherapy Research International
Published: 2025-09-18
DOI: https://doi.org/10.1002/pri.70104
Primary Topic: Anomaly Detection Techniques and Applications
Type: article
Field-Weighted Citation Impact: 0.00

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article

Loss‐Attention Physics‐Informed Neural Networks for Enhanced Deepfake Detection in Medical Image Classification: A Diagnostic Performance Evaluation

Kirti Jain, Roshani A. Parate

Sep 18, 2025

Physiotherapy Research International

Anomaly Detection Techniques and Applications

article

Loss‐Attention Physics‐Informed Neural Networks for Enhanced Deepfake Detection in Medical Image Classification: A Diagnostic Performance Evaluation

Kirti Jain, Roshani A. Parate

September 18, 2025article en

Abstract

Physiotherapy Research InternationalVol. 30(4)

Global College (CY)

Openalex Percentile: Top 87%

Anomaly Detection Techniques and Applications

DOI Source OpenAlex

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