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Most Cited

  • Review
  • Open Access
74 Citations
14,930 Views
22 Pages

Digital twins (DTs) are becoming increasingly popular in various industries, and their potential for healthcare in the metaverse continues to attract attention. The metaverse is a virtual world where individuals interact with digital replicas of them...

  • Review
  • Open Access
67 Citations
18,873 Views
49 Pages

Deep learning has emerged as a powerful tool for medical image analysis and diagnosis, demonstrating high performance on tasks such as cancer detection. This literature review synthesizes current research on deep learning techniques applied to lung c...

  • Review
  • Open Access
63 Citations
19,167 Views
33 Pages

Genomics for Emerging Pathogen Identification and Monitoring: Prospects and Obstacles

  • Vishakha Vashisht,
  • Ashutosh Vashisht,
  • Ashis K. Mondal,
  • Jaspreet Farmaha,
  • Ahmet Alptekin,
  • Harmanpreet Singh,
  • Pankaj Ahluwalia,
  • Anaka Srinivas and
  • Ravindra Kolhe

Emerging infectious diseases (EIDs) pose an increasingly significant global burden, driven by urbanization, population explosion, global travel, changes in human behavior, and inadequate public health systems. The recent SARS-CoV-2 pandemic highlight...

  • Review
  • Open Access
53 Citations
22,557 Views
47 Pages

Recent Advances in Large Language Models for Healthcare

  • Khalid Nassiri and
  • Moulay A. Akhloufi

Recent advances in the field of large language models (LLMs) underline their high potential for applications in a variety of sectors. Their use in healthcare, in particular, holds out promising prospects for improving medical practices. As we highlig...

  • Review
  • Open Access
49 Citations
9,985 Views
16 Pages

This review explores the transformative integration of artificial intelligence (AI) and healthcare through conversational AI leveraging Natural Language Processing (NLP). Focusing on Large Language Models (LLMs), this paper navigates through various...

  • Article
  • Open Access
44 Citations
7,318 Views
21 Pages

Enhancing Brain Tumor Classification with Transfer Learning across Multiple Classes: An In-Depth Analysis

  • Syed Ahmmed,
  • Prajoy Podder,
  • M. Rubaiyat Hossain Mondal,
  • S M Atikur Rahman,
  • Somasundar Kannan,
  • Md Junayed Hasan,
  • Ali Rohan and
  • Alexander E. Prosvirin

This study focuses on leveraging data-driven techniques to diagnose brain tumors through magnetic resonance imaging (MRI) images. Utilizing the rule of deep learning (DL), we introduce and fine-tune two robust frameworks, ResNet 50 and Inception V3,...

  • Article
  • Open Access
30 Citations
8,728 Views
26 Pages

Supporting the Demand on Mental Health Services with AI-Based Conversational Large Language Models (LLMs)

  • Tin Lai,
  • Yukun Shi,
  • Zicong Du,
  • Jiajie Wu,
  • Ken Fu,
  • Yichao Dou and
  • Ziqi Wang

The demand for psychological counselling has grown significantly in recent years, particularly with the global outbreak of COVID-19, which heightened the need for timely and professional mental health support. Online psychological counselling emerged...

  • Article
  • Open Access
30 Citations
3,436 Views
13 Pages

Identifying Potent Fat Mass and Obesity-Associated Protein Inhibitors Using Deep Learning-Based Hybrid Procedures

  • Kannan Mayuri,
  • Durairaj Varalakshmi,
  • Mayakrishnan Tharaheswari,
  • Chaitanya Sree Somala,
  • Selvaraj Sathya Priya,
  • Nagaraj Bharathkumar,
  • Renganathan Senthil,
  • Raja Babu Singh Kushwah,
  • Sundaram Vickram and
  • Thirunavukarasou Anand
  • + 1 author

The fat mass and obesity-associated (FTO) protein catalyzes metal-dependent modifications of nucleic acids, namely the demethylation of methyl adenosine inside mRNA molecules. The FTO protein has been identified as a potential target for developing a...

  • Article
  • Open Access
30 Citations
4,242 Views
15 Pages

Myocardial Infarction (MI) is the death of the heart muscle caused by lack of oxygenated blood flow to the heart muscle. It has been the main cause of death worldwide. The fastest way to detect MI is by using an electrocardiogram (ECG) device, which...

  • Article
  • Open Access
28 Citations
7,573 Views
19 Pages

The reduction of childhood mortality is an ongoing struggle and a commonly used factor in determining progress in the medical field. The under-5 mortality number is around 5 million around the world, with many of the deaths being preventable. In ligh...

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BioMedInformatics - ISSN 2673-7426