
via Reddit
Algorithm that performs as accurately as dermatologists
A study has now been presented that boosts the evidence for using AI solutions in skin cancer diagnostics. With an algorithm they devised themselves, scientists at the University of Gothenburg show the capacity of technology to perform at the same level as dermatologists in assessing the severity of skin melanoma.
The study, published in the Journal of the American Academy of Dermatology, and its results are the work of a research group at the Department of Dermatology and Venereology at Sahlgrenska Academy, University of Gothenburg.
The study was conducted at Sahlgrenska University Hospital in Gothenburg. Its purpose was, through machine learning (ML), to train an algorithm to determine whether skin melanoma is invasive and there is a risk of it spreading (metastatizing), or whether it remains at a growth stage in which it is confined to the epidermis, with no risk of metastasis.
The algorithm was trained and validated on 937 dermatoscopic images of melanoma, and subsequently tested on 200 cases. All the cases included were diagnosed by a dermatopathologist.
Algorithm vs dermatologist
The majority of melanomas are found by patients rather than doctors. This suggests that, in most cases, diagnosis is relatively easy. Before surgery, however, it is often much more difficult to determine the stage the melanoma has reached.
To make the classifications more accurate, dermatologists use dermatoscopes — instruments that combine a type of magnifying glass with bright illumination. In recent years, interest in using ML for skin tumor classifications has increased, and several publications have shown that ML algorithms can perform on par with, or even better than, experienced dermatologists.
The current study is now giving a further boost to research in this field. When the same classification task was performed by the algorithm on the one hand and seven independent dermatologists on the other, the result was a draw.
Support for patients and doctors
“None of the dermatologists significantly outperformed the ML algorithm,” states Sam Polesie, a researcher at the University of Gothenburg and specialist doctor at Sahlgrenska University Hospital, who is the corresponding author of the study.
In a developed form, the algorithm could serve as support in the task of assessing the severity of skin melanoma before surgery. The classification affects how extensive an operation needs to be, and is therefore important for both the patient and the surgeon.
“The results of the study are interesting, and the hope is that the algorithm can be used as clinical decision support in the future. But it needs refining further, and prospective studies that monitor patients over time are necessary, too,” Polesie concludes.
Original Article: Algorithm that performs as accurately as dermatologists
More from: University of Gothenburg
The Latest Updates from Bing News & Google News
Go deeper with Bing News on:
Skin cancer diagnostics
- Skin Cancer Diagnostics Market Size and Forecast till 2031
The "Skin Cancer Diagnostics Market" Study Describes how the technology industry is evolving and how major and ...
- Risk for skin cancer higher for adults with atopic dermatitis
Adults with atopic dermatitis (AD) have an increased risk for developing melanoma, basal cell carcinoma (BCC), and squamous cell carcinoma (SCC), with significantly higher risks seen for ...
- Global Skin Cancer Diagnostics Market [2023-2030] | Current Status and Future Prospects
Global " Skin Cancer Diagnostics Market " (2023-2030) research report provides an in-depth market evaluation by highlighting information on various aspects covering global drivers, barriers, ...
- Woman given devastating diagnosis after noticing tiny dots on skin says she's 'grateful'
A courageous 21-year-old student who was diagnosed with cancer after noticing small 'dots' on her skin has revealed how ... results led to the devastating diagnosis, and Ms Hilliard underwent ...
- WWE's Alexa Bliss Shares Skin Cancer Diagnosis
The WWE star, 31, has revealed she underwent a procedure for skin cancer removal after being diagnosed with basal cell carcinoma. Alexa shared the news by recently posting a picture of herself ...
Go deeper with Google Headlines on:
Skin cancer diagnostics
[google_news title=”” keyword=”skin cancer diagnostics” num_posts=”5″ blurb_length=”0″ show_thumb=”left”]
Go deeper with Bing News on:
Artificial intelligence diagnostics
- Accelerate Diagnostics: Q4 Earnings Snapshot
(AP) — Accelerate Diagnostics Inc. (AXDX ... Here's how to prepare. You may know that artificial intelligence may scan your résumé when you apply for a job. But are you prepared to have an interview ...
- JOURNAL OF MEDICAL INTERNET RESEARCH | CAN ARTIFICIAL INTELLIGENCE BE USED TO DIAGNOSE INFLUENZA?
JMIR Publications published "Examining the Use of an Artificial Intelligence Model to Diagnose Influenza: Development and Validation Study" in the Journal of Medical Internet Research, which reported ...
- Artificial Intelligence Market to Reach US$ 2745 Bn by 2032, North America is Expected to Dominate the Worldwide Market
According to Market.us, Increasing usage of AI in various end-use industries is expected to fuel the growth of the Artificial Intelligence Market, which is forecasted to expand at a CAGR of 36.8% from ...
- Can artificial intelligence be used to diagnose influenza?
The recently published article "Examining the Use of an Artificial Intelligence Model to Diagnose Influenza: Development and Validation Study" in the Journal of Medical Internet Research, reported ...
- The Artificial Intelligence in Imaging Landscape 2022: AI Continues to Reshape Healthcare and Radiology
The "The Artificial Intelligence in Imaging Landscape 2022" report has been added to ResearchAndMarkets.com's offering.Artificial intelligence (AI) is influencing healthcare in countless ways, and its ...
Go deeper with Google Headlines on:
Artificial intelligence diagnostics
[google_news title=”” keyword=”artificial intelligence diagnostics” num_posts=”5″ blurb_length=”0″ show_thumb=”left”]