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Journals
Diagnostics
Special Issues
Latest Research in Precision Medicine
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Latest Research in Precision Medicine

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Pathology and Molecular Diagnostics".

Deadline for manuscript submissions: 31 October 2024 | Viewed by 7214

Special Issue Editor

Dr. Chayakrit Krittanawong

E-Mail Website
Guest Editor
NYU Grossman School of Medicine, New York, NY 10016, USA
Interests: AI; precision medicine; integrative omics; bioinformatics; big data analytics; multi-omics; digital health; wearable technology; preventive medicine; cardiology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Precision medicine, sometimes known as "personalized medicine", is an innovative approach to making a diagnosis of disease by using an individual’s genetic, environmental, lifestyle, and epigenetic information to diagnose or pre-emptively prevent disease. Precision medicine uses genetic testing and drug–gene testing (pharmacogenomics) to diagnose diseases. In addition, the identification of lifestyle behaviors—smoking, an unhealthy diet, and physical activity—can be used to diagnose diseases such as cardiovascular disease, inherited cardiovascular disease, obesity, type 2 diabetes, stroke, hypertension, chronic obstructive pulmonary disease (COPD), or asthma. Precision medicine could potentially transform genetic and clinical data into new insights for the diagnosis of complex health conditions.

Dr. Chayakrit Krittanawong
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • precision medicine
  • personalized medicine
  • genetics
  • lifestyle

Published Papers (1 paper)

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Review

33 pages, 1768 KiB  
Review
Artificial Intelligence in Neurosurgery: A State-of-the-Art Review from Past to Future
by Jonathan A. Tangsrivimol, Ethan Schonfeld, Michael Zhang, Anand Veeravagu, Timothy R. Smith, Roger Härtl, Michael T. Lawton, Adham H. El-Sherbini, Daniel M. Prevedello, Benjamin S. Glicksberg and Chayakrit Krittanawong
Diagnostics 2023, 13(14), 2429; https://doi.org/10.3390/diagnostics13142429 - 20 Jul 2023
Cited by 6 | Viewed by 6744
Abstract
In recent years, there has been a significant surge in discussions surrounding artificial intelligence (AI), along with a corresponding increase in its practical applications in various facets of everyday life, including the medical industry. Notably, even in the highly specialized realm of neurosurgery, [...] Read more.
In recent years, there has been a significant surge in discussions surrounding artificial intelligence (AI), along with a corresponding increase in its practical applications in various facets of everyday life, including the medical industry. Notably, even in the highly specialized realm of neurosurgery, AI has been utilized for differential diagnosis, pre-operative evaluation, and improving surgical precision. Many of these applications have begun to mitigate risks of intraoperative and postoperative complications and post-operative care. This article aims to present an overview of the principal published papers on the significant themes of tumor, spine, epilepsy, and vascular issues, wherein AI has been applied to assess its potential applications within neurosurgery. The method involved identifying high-cited seminal papers using PubMed and Google Scholar, conducting a comprehensive review of various study types, and summarizing machine learning applications to enhance understanding among clinicians for future utilization. Recent studies demonstrate that machine learning (ML) holds significant potential in neuro-oncological care, spine surgery, epilepsy management, and other neurosurgical applications. ML techniques have proven effective in tumor identification, surgical outcomes prediction, seizure outcome prediction, aneurysm prediction, and more, highlighting its broad impact and potential in improving patient management and outcomes in neurosurgery. This review will encompass the current state of research, as well as predictions for the future of AI within neurosurgery. Full article
(This article belongs to the Special Issue Latest Research in Precision Medicine)
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