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Most Cited

  • Review
  • Open Access
406 Citations
96,067 Views
25 Pages

25 August 2023

This comprehensive review unfolds a detailed narrative of Artificial Intelligence (AI) making its foray into radiology, a move that is catalysing transformational shifts in the healthcare landscape. It traces the evolution of radiology, from the init...

  • Review
  • Open Access
208 Citations
20,191 Views
22 Pages

What Is Machine Learning, Artificial Neural Networks and Deep Learning?—Examples of Practical Applications in Medicine

  • Jakub Kufel,
  • Katarzyna Bargieł-Łączek,
  • Szymon Kocot,
  • Maciej Koźlik,
  • Wiktoria Bartnikowska,
  • Michał Janik,
  • Łukasz Czogalik,
  • Piotr Dudek,
  • Mikołaj Magiera and
  • Anna Lis
  • + 4 authors

Machine learning (ML), artificial neural networks (ANNs), and deep learning (DL) are all topics that fall under the heading of artificial intelligence (AI) and have gained popularity in recent years. ML involves the application of algorithms to autom...

  • Review
  • Open Access
174 Citations
16,400 Views
15 Pages

The Triglyceride/High-Density Lipoprotein Cholesterol (TG/HDL-C) Ratio as a Risk Marker for Metabolic Syndrome and Cardiovascular Disease

  • Constantine E. Kosmas,
  • Shanna Rodriguez Polanco,
  • Maria D. Bousvarou,
  • Evangelia J. Papakonstantinou,
  • Edilberto Peña Genao,
  • Eliscer Guzman and
  • Christina E. Kostara

Atherosclerosis is an immunoinflammatory pathological procedure in which lipid plaques are formed in the vessel walls, partially or completely occluding the lumen, and is accountable for atherosclerotic cardiovascular disease (ASCVD). ACSVD consists...

  • Systematic Review
  • Open Access
147 Citations
18,518 Views
26 Pages

Breast cancer is one of the precarious conditions that affect women, and a substantive cure has not yet been discovered for it. With the advent of Artificial intelligence (AI), recently, deep learning techniques have been used effectively in breast c...

  • Systematic Review
  • Open Access
125 Citations
27,648 Views
38 Pages

A Systematic Review and Meta-Analysis of Artificial Intelligence Tools in Medicine and Healthcare: Applications, Considerations, Limitations, Motivation and Challenges

  • Hussain A. Younis,
  • Taiseer Abdalla Elfadil Eisa,
  • Maged Nasser,
  • Thaeer Mueen Sahib,
  • Ameen A. Noor,
  • Osamah Mohammed Alyasiri,
  • Sani Salisu,
  • Israa M. Hayder and
  • Hameed AbdulKareem Younis

Artificial intelligence (AI) has emerged as a transformative force in various sectors, including medicine and healthcare. Large language models like ChatGPT showcase AI’s potential by generating human-like text through prompts. ChatGPT’s...

  • Article
  • Open Access
124 Citations
20,194 Views
19 Pages

Machine Learning-Based Predictive Models for Detection of Cardiovascular Diseases

  • Adedayo Ogunpola,
  • Faisal Saeed,
  • Shadi Basurra,
  • Abdullah M. Albarrak and
  • Sultan Noman Qasem

Cardiovascular diseases present a significant global health challenge that emphasizes the critical need for developing accurate and more effective detection methods. Several studies have contributed valuable insights in this field, but it is still ne...

  • Review
  • Open Access
111 Citations
11,751 Views
31 Pages

6 December 2022

In biomedical image analysis, information about the location and appearance of tumors and lesions is indispensable to aid doctors in treating and identifying the severity of diseases. Therefore, it is essential to segment the tumors and lesions. MRI,...

  • Review
  • Open Access
106 Citations
18,664 Views
35 Pages

FRET Based Biosensor: Principle Applications Recent Advances and Challenges

  • Awadhesh Kumar Verma,
  • Ashab Noumani,
  • Amit K. Yadav and
  • Pratima R. Solanki

Förster resonance energy transfer (FRET)-based biosensors are being fabricated for specific detection of biomolecules or changes in the microenvironment. FRET is a non-radiative transfer of energy from an excited donor fluorophore molecule to a...

  • Article
  • Open Access
104 Citations
11,303 Views
19 Pages

Explainable AI for Retinoblastoma Diagnosis: Interpreting Deep Learning Models with LIME and SHAP

  • Bader Aldughayfiq,
  • Farzeen Ashfaq,
  • N. Z. Jhanjhi and
  • Mamoona Humayun

Retinoblastoma is a rare and aggressive form of childhood eye cancer that requires prompt diagnosis and treatment to prevent vision loss and even death. Deep learning models have shown promising results in detecting retinoblastoma from fundus images,...

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Diagnostics - ISSN 2075-4418