Evidence map›Paper›PMID 41694908›Full record

ReviewCureus2026

Emerging Trends in Diagnostic Radiology: Integrating Advanced Imaging Modalities for Early Detection, Clinical Monitoring, and Prognostic Evaluation of Multisystem Internal Medicine Disorders.

Shubham Gupta, Pankaj Kaira, Shagufa Pathan, Krishna Chidrawar, Krupa Rajeshbhai Gondaliya, Sandeep Kaur Toor

Abstract readReview
In one paragraph

Review in Cureus, 2026. 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

6 authors.

Shubham GuptaDepartment of Radiodiagnosis, Government Medical College (GMC) Jammu, Jammu, IND.
Pankaj KairaDepartment of Radiodiagnosis, Shri Ram Murti Smarak Institute of Medical Sciences, Bareilly, IND.
Shagufa PathanDepartment of Otorhinolaryngology, Dharmsinh Desai University, Dr. N.D. Desai Faculty of Medical Science and Research, Nadiad, IND.
Krishna ChidrawarDepartment of Radiodiagnosis, Maharashtra University of Health Sciences, Nashik, IND.
Krupa Rajeshbhai GondaliyaDepartment of Emergency, Government Medical College and New Civil Hospital, Surat, IND.
Sandeep Kaur ToorDepartment of Radiodiagnosis, Punjab Institute of Liver and Biliary Sciences, Mohali, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnostic radiology has progressed from basic X-ray imaging to a highly advanced, multimodality discipline that integrates high-resolution structural techniques, functional and molecular imaging, and computational analytics. This review synthesizes emerging trends in diagnostic radiology with a particular focus on their relevance to multisystem internal medicine disorders. The historical evolution of imaging is outlined, from early radiographs to computed tomography (CT), magnetic resonance imaging (MRI), and hybrid platforms such as positron emission tomography-computed tomography (PET-CT) and positron emission tomography-magnetic resonance imaging (PET-MRI). The transition toward precision medicine is highlighted through the use of quantitative imaging biomarkers and radiomics, which enable detailed phenotyping, early disease detection, and individualized treatment planning. Key applications across cardiovascular, respiratory, endocrine, autoimmune, and hematologic disorders are discussed, demonstrating how multimodality imaging improves diagnostic accuracy, guides therapy, and supports longitudinal monitoring. Challenges related to resource availability, cost-effectiveness, radiation safety, data standardization, and ethical considerations in artificial intelligence (AI) are also addressed. Looking forward, innovations such as theranostics, automated image analysis, cloud-based tele-radiology, and multidisciplinary integration are expected to further strengthen radiology's role in personalized, value-based care. These advancements underscore the central importance of diagnostic imaging in modern internal medicine and the need for continued research and equitable global implementation.

Indexed as

artificial intelligencediagnostic radiologyimaging biomarkersmultimodality imagingprecision medicine

Identifiers

PMID41694908
PMCPMC12901697

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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 OpenQuestion graph.