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EXKLUSIV FÜR MITGLIEDER KLINIKER UND FORSCHENDE
2026 GLOBAL CLINICAL COLLABORATION CALL
Turn clinical images into a rigorous AI research collaboration.
Contribute an authorized image collection and clinical expertise. Build a research pathway with microscopIA: a defined question, supervised annotation, model development and scientific evaluation.
Illustrative workflow · research objectives, not a deployed clinical product.
research tracks
20
images per clinician
More than 200
Forschung, kein diagnostisches Produkt
Rechte vorab vereinbaren Wissenschaftlicher Umfang, Datenfreigaben und wirtschaftliche Beteiligung werden vor der Übertragung dokumentiert.
Die Zusammenarbeit auf einen Blick
A shared project. Clear contributions.
The protocol and signed agreements define the final scope. This is how the collaboration is organized.
You contribute
An eligible image collection, institutional permissions and clinical guidance for labeling and interpretation.
microscopIA coordinates
Research planning, an assigned student team, technical development and manuscript coordination within the accepted scope.
Agreed together
The research question, reference standard, validation plan, responsibilities, timeline and permitted data uses.
IHR WEG IN DIESEN AUFRUF
Wählen Sie Ihren Weg zur Zusammenarbeit.
Neue Bewerber und bestehende Mitglieder benötigen eine aktive Mitgliedschaft für Kliniker und Forschende. Die Mitgliedschaft für Studierende und junge Fachkräfte berechtigt nicht zu diesem Aufruf.
Aktivierung und Bewerbung sind getrennte Schritte. Keiner reserviert einen Platz oder garantiert Auswahl, Autorenschaft oder Veröffentlichung.
AUFRUFE · KLINIKER UND FORSCHENDE
Bereiten Sie den nächsten Schritt vor
Private Vorbereitungshilfe, keine wissenschaftliche Freigabe. Antworten bleiben in dieser Seitensitzung; keine Patientendaten werden erfragt oder gesendet.
Sie bringen ein
Organisierte freigegebene Bilder, zuverlässige Annotationen und klinische Betreuung.
01
A collaboration for clinicians with data and expertise.
You contribute the clinical knowledge that makes an image collection useful for research. We agree the scientific scope, responsibilities and data pathway before work begins.
01
An eligible collection
More than 200 relevant images, subject to quality and project review. Digitized specimens and images are welcome; physical biological samples are not requested.
02
Permission to collaborate
Institutional authorization and an appropriate ethical and legal basis for research, training and possible commercial use. Possessing images does not establish permission to share them.
03
Time to guide a team
Help an assigned group of students recognize patterns and label images. Review annotations and resolve disagreements under the agreed protocol.
02
FIND YOUR RESEARCH AREA
20 opportunities to contribute clinical expertise.
Choose the track closest to your collection. Project titles describe research objectives, not approved diagnostic products or guaranteed results.
20 angezeigte Forschungsvorhaben
Netzhautbildgebung
03
01
Ophthalmology
Retinopathy of Prematurity Detection and Staging
03
Ophthalmology
Diabetic Retinopathy Detection and Grading
04
Ophthalmology
Glaucoma Detection from Retinal Images
Mikroskopie und Pathologie
08
02
Parasitology
Malaria Parasite Detection and Species Classification
05
Dermatology / Parasitology
Cutaneous Leishmaniasis Detection
06
Parasitology
Intestinal Parasite Detection and Classification
07
Microbiology
Tuberculosis Detection in Sputum Microscopy
08
Hematology
Automated Peripheral Blood Cell Classification
09
Hematology
Leukemia Detection from Peripheral Blood Smears
10
Cytopathology
Cervical Cytology Abnormality Detection
11
Pathology
Breast Cancer Histopathology Analysis
Klinische Fotografie und Dermatoskopie
03
12
Dermatology
Skin Cancer Detection from Dermoscopic Images
13
Wound Care
Diabetic Foot Ulcer Detection and Assessment
19
Oral Medicine
Oral Cancer Screening from Clinical Photographs
Röntgen und Ultraschall
05
14
Radiology / Pulmonology
Pulmonary Tuberculosis Screening from Chest Radiographs
15
Pediatrics / Radiology
Pediatric Pneumonia Detection from Chest Radiographs
16
Radiology
Breast Lesion Detection from Ultrasound Images
17
Obstetrics
Fetal Ultrasound Image Segmentation and Biometric Measurements
18
Dentistry
Dental Caries Detection from Radiographs
Elektrokardiografie
01
20
Cardiology
Electrocardiogram Arrhythmia Detection and Classification
03
FROM FIRST CONTACT TO COLLABORATION
A clear path from collection to research.
01
Describe your collection
Use the member application with your specialty, institution, image count, modality and permissions status. No images at this stage.
02
Review the scientific fit
Discuss image quality, labeling expertise, reference standards and the feasibility of the research track.
03
Agree rights and responsibilities
Sign the confidentiality, research, data, responsible-use and commercial-participation agreements. Resolve institutional and ethics requirements.
04
Transfer securely and train the team
After approval, deliver the eligible collection according to the agreed schedule. Guide students in pattern recognition and review their annotations.
If permissions are not ready, do not transfer data simply to meet the deadline.
04
SCIENTIFIC CONTRIBUTION · SHARED VALUE
Recognition with responsibilities defined from the start.
Contribute to the resulting manuscripts
Collaborating clinicians can qualify for authorship through substantial contributions, drafting or critical revision, final approval and accountability. Contributions and author order are documented; supplying images alone does not guarantee authorship.
Guide the next generation
An assigned student group learns clinical pattern recognition, image labeling and data preparation under your supervision. Students do not make independent clinical decisions.
Define the calculation before transferring data
The signed agreement establishes the receipts and agreed deductions, allocation among clinicians, covered products and licences, duration, payments, reporting, accounting verification, taxes, termination and institutional rights.
Read the collaboration safeguards
These requirements apply before data transfer and throughout the project.
Authorized, secure data+
Depending on the track, images may include digitized specimens, microscopy, radiographs, ultrasound, clinical photographs or ECGs. Do not send physical biological specimens. Remove identifiers from pixels, filenames, DICOM/EXIF metadata, dates, labels, faces and other identifying features. Coding is not anonymization. Do not transfer re-identification keys.
Possession does not establish ownership or permission. Institutional authorization and an ethical and legal basis for research, training and potential commercial use are required. We agree a secure transfer route and verify de-identification before admitting data. Do not attach images to the initial email.
Clinicians who train teams+
An assigned student group will work with each accepted clinician to learn pattern recognition, image labeling and data preparation. The clinician supervises labeling criteria, annotations and disagreements; students do not make independent clinical decisions.
The protocol defines reference standards, quality, duplicate cases, patient-level separation of training and evaluation, diversity, bias assessment and validation. Data acceptance depends on these requirements and project feasibility.
Authorship through contribution+
Clinicians participate as scientific collaborators with an opportunity for authorship in resulting manuscripts when they meet contribution and editorial responsibilities: substantial contribution, drafting or critical revision, final approval and accountability. Images alone do not guarantee authorship. Contributions and author order will be documented transparently.
A shared 30% commercial participation+
microscopIA offers a collective 30% economic participation in commercial exploitation of the relevant AI, distributed among clinicians contributing data to that project. It is not 30% per clinician, company equity or a guaranteed return.
Before data transfer, the agreement must define the calculation base (receipts and expressly agreed deductions), allocation among clinicians, covered products and licences, term, payments, reports, accounting verification, taxes, termination and institutional rights. No definition of net proceeds or unilateral deductions is presumed. Without a signed agreement, data transfer and the project do not begin.
Bereiten Sie Ihren Vorschlag vor
Tell us what your collection could make possible.
Prepare a short, non-confidential description. You do not need to send images to express interest.
Clinicians & Investigators · microscopIA Network
Ihre klinische Bildsammlung vorschlagen.
Für aktive Clinicians & Investigators-Mitglieder. Nutzen Sie die E-Mail Ihres Mitgliedskontos; ein weiteres Abonnement ist nicht erforderlich.
Vor dem Öffnen der Bewerbung
Ihre klinische Rolle, Einrichtung und Land
Bildmodalität, ungefähre Anzahl und Verfügbarkeit für die Betreuung der Annotation
Genehmigungsstatus — keine Patientenakten, Bilder oder Identifikatoren
Das Team prüft Mitgliedschaft und wissenschaftliche Eignung und bestätigt Umfang und Genehmigungen vor Beginn schriftlich.
Dieser Link bestätigt keine bezahlte Mitgliedschaft. Eine Bewerbung garantiert weder Annahme, Autorenschaft noch Veröffentlichung. Der erste Vorschlag erlaubt keine Übertragung klinischen Materials.
