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The evidence gap is the invitation

Teleradiology case-finding in rural Afghanistan has, as far as we have found, never been prospectively described. The platform generating the data is running. What the study needs now is its partners.

Co-authorship the study, and its papers Advisory seats protocols and escalation rules Dataset & validation site governed access, real films Surveillance feed counts for the national system Every read adds to the corpus; the corpus feeds the studies
The loop the platform runs, and the four seats on it. Each seat is one of the offers below.

On offer

Four offers

Co-authorship

For faculty

A prospective study of teleradiology case-finding in rural Afghanistan — as far as we have found, the first. The data source is running; the authorship is open.

You bring
Study design, adjudication, the review pathway
You get
Authorship on a first-of-its-kind study

Founding advisory seats

For clinicians and governance leads

Named seats in clinical governance, research design, and data governance, with real influence over protocols and what the platform refuses to do.

You bring
Judgement, and the time to exercise it
You get
A founding role that shapes the program

Dataset access & a validation site

For imaging-AI teams

Governed access to a de-identified corpus of rural Afghan films, and a live site for validating software on a population its training data has never seen.

You bring
A model to validate; results published either way
You get
Out-of-distribution films, and a site to run on

A surveillance feed

For surveillance programmes and funders

Signed reads, coded and counted weekly by province and finding — a private-clinic signal the national system does not have. Being built. The program

You bring
A recipient: a national programme or its implementing entity
You get
A private-facility signal, in the format the system ingests

Who it is for

Four kinds of partner

Academic radiology & global-health programs
University radiology departments and global-health imaging programs: adjudication partnership, resident and fellow involvement, co-authorship, advisory seats.
CAD & imaging-AI teams
Validation partnerships on out-of-distribution, real-world data — with results published, not marketed.
TB-ecosystem NGOs & funders
Implementers and funders working on case-finding in high-burden, low-resource settings: a deployment partner whose reading pathway is already running.
Surveillance programmes, implementing entities & health-security funders
A private-facility disease signal for national surveillance, designed to arrive as weekly aggregate counts in the format the national system ingests — a surveillance component for country proposals. The reads are accumulating now; the weekly feed is being built.

The deepest current opportunity is the TB screening program; the surveillance program is the one being built. Each has its own page — architecture, limits, and open questions — written to be sent on its own.

Governance

The dataset is a public-good asset. It is governed like one.

Consent is collected at intake, before a film enters any research use.
De-identification happens before research use — identifying details are stripped at the platform boundary, and patient data never appears on this site.
Dataset access is granted under data-governance agreements, for legitimate research purposes. The corpus is a public-good asset: it is never sold.
Every study protocol is designed for ethics review with our academic partners’ institutions — we bring the setting and the data pipeline; partners bring the review pathway their institutions require.
The study runs on infrastructure operated by Partaw’s commercial arm, disclosed in every protocol and publication and kept at arm’s length.

A short note is enough to start

Protocols and governance drafts follow in conversation. A human reads every message.

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