Evidence map›Paper›PMID 42427831›Full record

ArticleResearch square2026

Causal Responsibility Based Explainable AI for Vibrational Spectroscopy Applied to Oral FTIR and Oesophageal Raman Diagnostics.

Nathan Blake, David A Kelly, Sarah Kapllani-Mucaj, Rong Wang, Geraint Thomas, Hana Chockler

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in Research square, 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

5 · Who and what money

Authors and funding

6 authors.

Nathan BlakeDepartment of Medical Physics and Biomedical Engineering, University College London, Gower Street, London, WC1E 6BT, UK.
David A KellyDepartment of Informatics, King's College London, The Strand, London, WC2R 2LS, UK.
Sarah Kapllani-MucajDepartment of Cell and Developmental Biology, University College London, Gower Street, London, WC1E 6BT, UK.
Rong WangSchool of Dentistry, University of Missouri-Kansas City, 650 E 25th Street, Kansas City, MO 64108, Missouri, USA.
Geraint ThomasDepartment of Cell and Developmental Biology, University College London, Gower Street, London, WC1E 6BT, UK.
Hana ChocklerDepartment of Informatics, King's College London, The Strand, London, WC2R 2LS, UK.

Funding

Decoding FTIR-based multimodal imaging for risk assessment of precancerous oral lesionsR56DE034052 · NIDCR · UNIVERSITY OF MISSOURI KANSAS CITY · PI WANG, RONG · 2024 to 2024
$550k
NIDCR NIH HHS R56 DE034052
6 · The paper itself

Abstract

Biomedical applications of vibrational spectroscopy increasingly use deep learning, but these models often give classifications without revealing which spectral features drive their decisions. We introduce Spec-ReX, a causal responsibility-based explainable AI method for vibrational spectroscopy, and compare it with the widely used explainability methods SHAP and Grad-CAM across synthetic spectra, biochemical mixtures, oral FTIR tissue spectra and oesophageal Raman tissue spectra. In a definitive

Indexed as

aman spectroscopyExplainable AIFTIR spectroscopyMedical AIMolecular DiagnosticsVibrational Spectroscopy

Identifiers

PMID42427831
PMCPMC13345556

What OpenQuestion holds

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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.