Digital photography for the dermatologist

Baig, Imran; Nguyen, Quoc-Bao D.; Jahan‐Tigh, Richard R.; Migden, Michael R.

doi:10.1016/j.clindermatol.2022.10.001

Cited by 4 publications

(2 citation statements)

References 34 publications

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“…As an image‐oriented field, dermatology relies on precise photographic techniques to best capture lesions on the hair, skin, and nails 35 . Medical photography is an accurate tool to document physical examination findings in patient records and AI databases.…”

Section: Discussionmentioning

confidence: 99%

“…As an image-oriented field, dermatology relies on precise photographic techniques to best capture lesions on the hair, skin, and nails. 35 Medical photography is an accurate tool to document physical examination findings in patient records and AI databases. One study found that publicly available skin image datasets that rely on medical photography have limitations in terms of their applicability to real-life clinical settings and the representation of diverse populations, particularly those with darker skin tones.…”

Section: Image Qualitymentioning

confidence: 99%

See 1 more Smart Citation

Artificial intelligence in dermatology: advancements and challenges in skin of color

Fliorent,

Fardman,

Podwojniak

et al. 2024

Int J Dermatology

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Artificial intelligence (AI) uses algorithms and large language models in computers to simulate human‐like problem‐solving and decision‐making. AI programs have recently acquired widespread popularity in the field of dermatology through the application of online tools in the assessment, diagnosis, and treatment of skin conditions. A literature review was conducted using PubMed and Google Scholar analyzing recent literature (from the last 10 years through October 2023) to evaluate current AI programs in use for dermatologic purposes, identifying challenges in this technology when applied to skin of color (SOC), and proposing future steps to enhance the role of AI in dermatologic practice. Challenges surrounding AI and its application to SOC stem from the underrepresentation of SOC in datasets and issues with image quality and standardization. With these existing issues, current AI programs inevitably do worse at identifying lesions in SOC. Additionally, only 30% of the programs identified in this review had data reported on their use in dermatology, specifically in SOC. Significant development of these applications is required for the accurate depiction of darker skin tone images in datasets. More research is warranted in the future to better understand the efficacy of AI in aiding diagnosis and treatment options for SOC patients.

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Section: Discussionmentioning

confidence: 99%

Section: Image Qualitymentioning

confidence: 99%

Artificial intelligence in dermatology: advancements and challenges in skin of color

Fliorent,

Fardman,

Podwojniak

et al. 2024

Int J Dermatology

View full text Add to dashboard Cite

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High‐accuracy heart rate detection using multispectral IPPG technology combined with a deep learning algorithm

Wang,

Ren,

Wang

et al. 2024

Journal of Biophotonics

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Image Photoplethysmography (IPPG) technology is a noncontact physiological parameter detection technology, which has been widely used in heart rate (HR) detection. However, traditional imaging devices still have issues such as narrower receiving spectral range and inferior motion detection performance. In this paper, we propose a HR detection method based on multi‐spectral video. Our method combining multispectral imaging with IPPG technology provides more accurate physiological information. To realize real‐time evaluation of HR directly from facial multispectral videos, we propose a new end‐to‐end neural network, namely IPPGResNet18. The IPPGResNet18 model was trained on the multispectral video dataset from which better results were achieved: MAE = 2.793, RMSE = 3.695, SD = 3.707, p = 0.304. The experimental results demonstrate a high accuracy of HR detection under motion state using this detection method. In respect of real‐time monitoring of HR during movement, our method is obviously superior to the conventional technical solutions.

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