Advancements and prospects of machine learning in medical diagnostics: unveiling the future of diagnostic precision

S Asif, Y Wenhui, S ur-Rehman, Q ul-ain… - … Methods in Engineering, 2024 - Springer
Abstract Machine learning (ML) has emerged as a versatile and powerful tool in various
fields of medicine, revolutionizing early disease diagnosis, particularly in cases where …

Optimized deep learning model for comprehensive medical image analysis across multiple modalities

SUR Khan, S Asif, M Zhao, W Zou, Y Li, X Li - Neurocomputing, 2025 - Elsevier
This study presents a novel amalgamated model for the diagnosis of multiple medical
conditions using various imaging modalities, including Chest X-ray, MRI, and endoscopic …

Clade Ib: a new emerging threat in the Mpox outbreak

S Srivastava, Laxmi, K Sharma, SB Sridhar… - Frontiers in …, 2024 - frontiersin.org
Monkeypox, a zoonotic virus in the Orthopoxvirus genus, has drawn global attention for its
impact on public health. In the current Mpox outbreak, a novel clade, Ib, has emerged as a …

CFI-Net: A Choquet Fuzzy Integral based Ensemble Network with PSO-Optimized Fuzzy Measures for Diagnosing Multiple Skin Diseases Including Mpox

S Asif, M Zhao, Y Li, F Tang… - IEEE Journal of Biomedical …, 2024 - ieeexplore.ieee.org
In the domain of medical diagnostics, precise identification of various skin and oral diseases
is vital for effective patient care. In particular, Mpox is a potentially dangerous viral disease …

Abstractive Text Summarization for Urdu Language

A Raza, MH Soomro, I Shahzad, S Batool - Journal of Computing & …, 2024 - jcbi.org
The quantity of textual data is increasing in online realm with the blink of eye and it has
become very difficult to extract useful information from such enormous bundle of information …

Mpox outbreak: Time series analysis with multifractal and deep learning network

TMC Priyanka, A Gowrisankar… - Chaos: An Interdisciplinary …, 2024 - pubs.aip.org
This article presents an overview of an mpox epidemiological situation in the most affected
regions—Africa, Americas, and Europe—tailoring fractal interpolation for pre-processing the …

MobileNetV2-based deep learning architecture with progressive transfer learning for accurate monkeypox detection

MSAM Al-Gaashani, W Xu, EY Obsie - Applied Soft Computing, 2025 - Elsevier
The recent monkeypox disease outbreak and its serious implications emphasize the urgent
necessity for advanced diagnostic tools capable of rapid and accurate disease detection. In …

Residual Learning Model-Based Classification of COVID-19 Using Chest Radiographs

A Raza, I Shahzad - Spectrum of engineering sciences, 2024 - sesjournal.com
Globally Health crisis has been arising after the flare-up of COVID-19 that enormously affect
the routine, how people assess the world and their daily life matters. Further the estimation …

Classification of Monkeypox Using Greylag Goose Optimization (GGO) Algorithm.

A Eslam, MG Abdelfattah… - Fusion: Practice & …, 2024 - search.ebscohost.com
After the COVID-19 epidemic, public health awareness increased. A skin viral disease
known as monkeypox sparked an emergency alert, leading to numerous reports of infections …

[PDF][PDF] A review of AI-powered diagnosis of rare diseases

S Mohammed, N Mohammed, W Sultana - International Journal of Current …, 2024 - ijcsrr.org
The diagnosis of rare diseases presents significant challenges due to their low prevalence,
complex symptomatology, and the scarcity of specialized knowledge. However …