a: The proposed system for early detection of acromegaly. Face Detection and Normalization for loaded photographs. Stage1: face detection to detect faces in an enter images; stage2: face normalization to right a rotated face to be orthogonal on the digicam house; stage3: 3D face reconstruction to reconstruct a 3D face from a single picture of a affected person; stage 4: options extraction primarily based on geometric from 3D faces and visible options from RGB facial photographs utilizing deep studying classifier; stage5: integration of options for predicting acromegaly utilizing a ANFIS mannequin to offer the ultimate rating of facial photographs testing. b: Face detection and 3D reconstruction from a affected person with acromegaly. c: Home windows 10 software providing an easy-to-use interface. Customers can choose enter choices, similar to “Load Image,” to add.jpg,.jpeg, or.png information, and acquire the acromegaly rating outcomes from the analyzed face in few seconds. Credit score: Pituitary (2025). DOI: 10.1007/s11102-025-01515-2
The journal Pituitary has highlighted analysis led by Manel Puig, head of the Endocrine, Thyroid and Weight problems Analysis Group on the Germans Trias i Pujol Analysis Institute (IGTP), which explores the potential of AI and machine studying algorithms to offer a revolutionary device for the early prognosis of acromegaly.
Acromegaly, which is marked worldwide each 1 November, is a uncommon illness attributable to an extra of progress hormone secretion, and in over 99% of circumstances it is because of a often benign pituitary tumor. It could have an effect on anybody and is often identified from the age of 40, though circumstances can even seem in childhood, the place if left undiagnosed, they may end up in gigantism.
Along with facial and skeletal deformities, which ultimately grow to be very noticeable, extra progress hormone can result in critical alterations in different elements of the physique: enlargement of the guts that may trigger coronary heart failure, an inclination to develop diabetes, sleep apnea, and an elevated danger of growing varied tumors, significantly colon most cancers.
The article revealed within the journal describes an AI-driven facial recognition system, known as AcroFace, which might probably detect acromegaly just by analyzing facial pictures. Particularly, it does so by analyzing visible options (the looks and texture of the face) and geometric options (measurements and distances between facial landmarks such because the eyes, nostril and jaw).
In a preliminary trial of the venture, examined on 118 individuals, the system appropriately recognized people with acromegaly with 93% accuracy, a hit price increased than that achieved in comparable earlier makes an attempt, which didn’t exceed 86%.
Though the researchers view these early outcomes as promising, they stress that they have to be confirmed as soon as a pilot research within the common inhabitants is accomplished, one that may take a look at 1000’s extra people from completely different ethnic backgrounds. The analysis group led by Manel Puig is at the moment conducting this research, analyzing 4,000 pictures from the final inhabitants, and expects to acquire preliminary outcomes quickly.
Acromegaly is a uncommon illness that usually goes undiagnosed for a decade, and having a dependable early detection system might assist individuals with the situation obtain remedy years earlier, probably by one thing so simple as a cell app.
Thus, acromegaly might shift from being a late-diagnosed, disabling illness to “a condition that can be detected early and managed more easily, without troublesome comorbidities, and even serve as a model for other rare diseases with facial features,” summarizes Puig.
“We can all imagine a future where anyone could self-screen with a selfie, where doctors could perform routine checks with a quick photo, where the disease is detected ten years earlier and treated long before serious and irreversible damage occurs,” he emphasizes.
Extra data:
Hatem A. Rashwan et al, Acromegaly facial adjustments evaluation utilizing final era synthetic intelligence methodology: the AcroFace system, Pituitary (2025). DOI: 10.1007/s11102-025-01515-2
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Germans Trias i Pujol Analysis Institute
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AI spots early facial adjustments in sufferers with acromegaly (2025, October 30)
retrieved 30 October 2025
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