Evidence map›Paper›PMID 38248016›Full record

ReviewDiagnostics (Basel, Switzerland)2024

Exploring the Intersection of Geophysics and Diagnostic Imaging in the Health Sciences.

Rahul Kumar Singh, Nirlipta Priyadarshini Nayak, Tapan Behl, Rashmi Arora, Md Khalid Anwer, Monica Gulati, Simona Gabriela Bungau, Mihaela Cristina Brisc

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Rahul Kumar SinghEnergy Cluster, University of Petroleum and Energy Studies, Dehradun 248007, Uttarakhand, India.
Nirlipta Priyadarshini NayakEnergy Cluster, University of Petroleum and Energy Studies, Dehradun 248007, Uttarakhand, India.
Tapan BehlAmity School of Pharmaceutical Sciences, Amity University, Mohali 140306, Punjab, India.
Rashmi AroraChitkara College of Pharmacy, Chitkara University, Rajpura 140401, Punjab, India.
Md Khalid AnwerDepartment of Pharmaceutics, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Alkharj 11942, Saudi Arabia.ORCID 0000-0002-5227-3954
Monica GulatiSchool of Pharmaceutical Sciences, Lovely Professional University, Phagwara 1444411, Punjab, India.
Simona Gabriela BungauDepartment of Pharmacy, Faculty of Medicine and Pharmacy, University of Oradea, 410028 Oradea, Romania.ORCID 0000-0003-3236-1292
Mihaela Cristina BriscDepartment of Medical Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410073 Oradea, Romania.ORCID 0000-0003-3603-8070

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To develop diagnostic imaging approaches, this paper emphasizes the transformational potential of merging geophysics with health sciences. Diagnostic imaging technology improvements have transformed the health sciences by enabling earlier and more precise disease identification, individualized therapy, and improved patient care. This review article examines the connection between geophysics and diagnostic imaging in the field of health sciences. Geophysics, which is typically used to explore Earth's subsurface, has provided new uses of its methodology in the medical field, providing innovative solutions to pressing medical problems. The article examines the different geophysical techniques like electrical imaging, seismic imaging, and geophysics and their corresponding imaging techniques used in health sciences like tomography, magnetic resonance imaging, ultrasound imaging, etc. The examination includes the description, similarities, differences, and challenges associated with these techniques and how modified geophysical techniques can be used in imaging methods in health sciences. Examining the progression of each method from geophysics to medical imaging and its contributions to illness diagnosis, treatment planning, and monitoring are highlighted. Also, the utilization of geophysical data analysis techniques like signal processing and inversion techniques in image processing in health sciences has been briefly explained, along with different mathematical and computational tools in geophysics and how they can be implemented for image processing in health sciences. The key findings include the development of machine learning and artificial intelligence in geophysics-driven medical imaging, demonstrating the revolutionary effects of data-driven methods on precision, speed, and predictive modeling.

Indexed as

artificial intelligencegeophysicshealth sciencesmachine learningmedical imaging

Identifiers

PMID38248016
PMCPMC11154438

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.