Artificial intelligence for lung cancer: a systematic review of head‑to‑head CT, FDG PET/CT, and multimodal models across screening, staging, and prognosis

Authors

Institutions

Publication Details

Journal
BMC Medical Imaging
Published
2026-02-12
DOI
https://doi.org/10.1186/s12880-026-02222-5
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial intelligence for lung cancer: a systematic review of head‑to‑head CT, FDG PET/CT, and multimodal models across screening, staging, and prognosis

Mohamadmehdi Eftekharian, Zhila Hashemi
BMC Medical Imaging
Lung Cancer Diagnosis and Treatment
article

Artificial intelligence for lung cancer: a systematic review of head‑to‑head CT, FDG PET/CT, and multimodal models across screening, staging, and prognosis

Mohamadmehdi Eftekharian, Zhila Hashemi
article en

Abstract

No abstract available for this paper.
BMC Medical ImagingVol. 26(1)
Hamedan University of Medical Sciences (IR)
Openalex Percentile: Top 60%
Lung Cancer Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Artificial intelligence for lung cancer: a systematic review of head‑to‑head CT, FDG PET/CT, and multimodal models across screening, staging, and prognosis — Mohamadmehdi Eftekharian, Zhila Hashemi · BMC Medical Imaging (2026) | TGRS Research Map | TGRS