Medical Dialogues
  • Dermatology
Login Register
This site is intended for healthcare professionals only
Login Register
  • MD Brand Connect
  • Vaccine Hub
  • MDTV
    • Breaking News
    • Medical News Today
    • Health News Today
    • Latest
    • Journal Club
    • Medico Legal Update
    • Latest Webinars
    • MD Shorts
    • Health Dialogues
  • Fact Check
  • Health Dialogues
Medical Dialogues
  • Medical News & Guidelines
      • Anesthesiology
      • Cardiology and CTVS
      • Critical Care
      • Dentistry
      • Dermatology
      • Diabetes and Endocrinology
      • ENT
      • Gastroenterology
      • Medicine
      • Nephrology
      • Neurology
      • Obstretics-Gynaecology
      • Oncology
      • Ophthalmology
      • Orthopaedics
      • Pediatrics-Neonatology
      • Psychiatry
      • Pulmonology
      • Radiology
      • Surgery
      • Urology
      • Laboratory Medicine
      • Diet
      • Nursing
      • Paramedical
      • Physiotherapy
  • Health news
      • Doctor News
      • Government Policies
      • Hospital & Diagnostics
      • International Health News
      • Medical Organization News
      • Medico Legal News
      • NBE News
      • NMC News
  • Fact Check
      • Bone Health Fact Check
      • Brain Health Fact Check
      • Cancer Related Fact Check
      • Child Care Fact Check
      • Dental and oral health fact check
      • Diabetes and metabolic health fact check
      • Diet and Nutrition Fact Check
      • Eye and ENT Care Fact Check
      • Fitness fact check
      • Gut health fact check
      • Heart health fact check
      • Kidney health fact check
      • Medical education fact check
      • Men's health fact check
      • Respiratory fact check
      • Skin and hair care fact check
      • Vaccine and Immunization fact check
      • Women's health fact check
  • AYUSH
    • Ayurveda
    • Homeopathy
    • Siddha
    • Unani
    • Yoga
  • State News
      • Andaman and Nicobar Islands
      • Andhra Pradesh
      • Arunachal Pradesh
      • Assam
      • Bihar
      • Chandigarh
      • Chattisgarh
      • Dadra and Nagar Haveli
      • Daman and Diu
      • Delhi
      • Goa
      • Gujarat
      • Haryana
      • Himachal Pradesh
      • Jammu & Kashmir
      • Jharkhand
      • Karnataka
      • Kerala
      • Ladakh
      • Lakshadweep
      • Madhya Pradesh
      • Maharashtra
      • Manipur
      • Meghalaya
      • Mizoram
      • Nagaland
      • Odisha
      • Puducherry
      • Punjab
      • Rajasthan
      • Sikkim
      • Tamil Nadu
      • Telangana
      • Tripura
      • Uttar Pradesh
      • Uttrakhand
      • West Bengal
  • Medical Education
      • Ayush Education News
      • Dentistry Education News
      • Medical Admission News
      • Medical Colleges News
      • Medical Courses News
      • Medical Universities News
      • Nursing education News
      • Paramedical Education News
      • Study Abroad
  • Industry
      • Health Investment News
      • Health Startup News
      • Medical Devices News
      • Pharma News
      • Pharmacy Education News
      • Industry Perspective
  • MDTV
      • Health Dialogues MDTV
      • Health News today MDTV
      • Latest Videos MDTV
      • Latest Webinars MDTV
      • MD shorts MDTV
      • Medical News Today MDTV
      • Medico Legal Update MDTV
      • Top Videos MDTV
      • Health Perspectives MDTV
      • Journal Club MDTV
      • Medical Dialogues Show
This site is intended for healthcare professionals only
LoginRegister
Medical Dialogues
LoginRegister
  • Home
  • Medical news & Guidelines
    • Anesthesiology
    • Cardiology and CTVS
    • Critical Care
    • Dentistry
    • Dermatology
    • Diabetes and Endocrinology
    • ENT
    • Gastroenterology
    • Medicine
    • Nephrology
    • Neurology
    • Obstretics-Gynaecology
    • Oncology
    • Ophthalmology
    • Orthopaedics
    • Pediatrics-Neonatology
    • Psychiatry
    • Pulmonology
    • Radiology
    • Surgery
    • Urology
    • Laboratory Medicine
    • Diet
    • Nursing
    • Paramedical
    • Physiotherapy
  • Health news
    • Doctor News
    • Government Policies
    • Hospital & Diagnostics
    • International Health News
    • Medical Organization News
    • Medico Legal News
    • NBE News
    • NMC News
  • Fact Check
    • Bone Health Fact Check
    • Brain Health Fact Check
    • Cancer Related Fact Check
    • Child Care Fact Check
    • Dental and oral health fact check
    • Diabetes and metabolic health fact check
    • Diet and Nutrition Fact Check
    • Eye and ENT Care Fact Check
    • Fitness fact check
    • Gut health fact check
    • Heart health fact check
    • Kidney health fact check
    • Medical education fact check
    • Men's health fact check
    • Respiratory fact check
    • Skin and hair care fact check
    • Vaccine and Immunization fact check
    • Women's health fact check
  • AYUSH
    • Ayurveda
      • Ayurveda Giuidelines
      • Ayurveda News
    • Homeopathy
      • Homeopathy Guidelines
      • Homeopathy News
    • Siddha
      • Siddha Guidelines
      • Siddha News
    • Unani
      • Unani Guidelines
      • Unani News
    • Yoga
      • Yoga Guidelines
      • Yoga News
  • State News
    • Andaman and Nicobar Islands
    • Andhra Pradesh
    • Arunachal Pradesh
    • Assam
    • Bihar
    • Chandigarh
    • Chattisgarh
    • Dadra and Nagar Haveli
    • Daman and Diu
    • Delhi
    • Goa
    • Gujarat
    • Haryana
    • Himachal Pradesh
    • Jammu & Kashmir
    • Jharkhand
    • Karnataka
    • Kerala
    • Ladakh
    • Lakshadweep
    • Madhya Pradesh
    • Maharashtra
    • Manipur
    • Meghalaya
    • Mizoram
    • Nagaland
    • Odisha
    • Puducherry
    • Punjab
    • Rajasthan
    • Sikkim
    • Tamil Nadu
    • Telangana
    • Tripura
    • Uttar Pradesh
    • Uttrakhand
    • West Bengal
  • Medical Education
    • Ayush Education News
    • Dentistry Education News
    • Medical Admission News
    • Medical Colleges News
    • Medical Courses News
    • Medical Universities News
    • Nursing education News
    • Paramedical Education News
    • Study Abroad
  • Industry
    • Health Investment News
    • Health Startup News
    • Medical Devices News
    • Pharma News
      • CDSCO (Central Drugs Standard Control Organisation) News
    • Pharmacy Education News
    • Industry Perspective
  • Home
  • Dermatology
  • Dermatology News
  • Artificial...

Artificial intelligence may enhance diagnostic accuracy of skin diseases

Written By : Dr. Kamal Kant Kohli Published On 2020-03-31T11:02:39+05:30  |  Updated On 31 March 2020 11:02 AM IST
Artificial intelligence may enhance diagnostic accuracy of skin diseasesIMAGE: EXAMPLES OF OUTPUT FROM MODEL DERMATOLOGY (HTTP://MODELDERM.COM), SHOWING THE TOP-THREE CHOICES FOR EACH SKIN LESION. LEFT: A CASE OF BASAL CELL CARCINOMA THAT IS COMMONLY MISDIAGNOSED AS NEVUS. RIGHT: A... view more CREDIT: MODEL DERMATOLOGY
  • facebook
  • twitter
  • linkedin
  • whatsapp
  • Telegram
  • Email

Philadelphia - Artificial intelligence has an established role in medicine and has increased diagnostic accuracy and treatment. Skin diseases are common, but it is not always easy to visit a dermatologist quickly or distinguish malignant from benign conditions. A new study describes the role of artificial intelligence in skin diseases that will certainly help all such patients.

Researchers in Korea have developed a deep learning-based artificial intelligence (AI) algorithm which can perform multiple functions. It can accurately classify cutaneous skin disorders, predict malignancy, suggest primary treatment options, and serve as an ancillary tool to enhance the diagnostic accuracy of clinicians.

The system will significantly improve the diagnostic accuracy of dermatologists as well as the general public. This new study has been published in the Journal of Investigative Dermatology.

Skin diseases are common, but it is not always easy to visit a dermatologist quickly or distinguish malignant from benign conditions. "Recently, there have been remarkable advances in the use of AI in medicine. For specific problems, such as distinguishing between melanoma and nevi, AI has shown results comparable to those of human dermatologists. However, for these systems to be practically useful, their performance needs to be tested in an environment similar to real practice, which requires not only classifying malignant versus benign lesion, but also distinguishing skin cancer from numerous other skin disorders including inflammatory and infectious conditions," explained lead investigator Jung-Im Na, MD, PhD, Department of Dermatology, Seoul National University, Seoul, Korea.

Using a "convolutional neural network," a specialized AI algorithm, investigators developed an AI system capable of predicting malignancy, suggesting treatment options, and classifying skin disorders. Investigators collected 220,000 images of Asians and Caucasians with 174 skin diseases and trained neural networks to interpret those images. They found that the algorithm could diagnose 134 skin disorders and suggest primary treatment options, render multi-class classification among disorders, and enhance the performance of medical professionals through Augmented Intelligence. Most prior studies have been limited to specific binary tasks, such as differentiating melanoma from nevi.

The algorithm's performance was initially compared with the performance of 21 dermatologists, 26 dermatology residents, and 23 members of the general public. Its performance was similar to that of the dermatology residents but slightly below that of the dermatologists. After the initial test, the test participants were informed of the results of the algorithm and subsequently modified their answers. The sensitivity of the malignancy diagnosis of the 47 clinicians improved from 77.4 percent to 86.8 percent. Similarly, the sensitivity of the diagnosis of malignancy by the 23 members of the general public improved markedly from 47.6 percent to 87.5 percent. Notably, based on the initial result, half of the malignancies would have been missed by the general public without referral to specialists.

"Our results suggest that our algorithm may serve as an Augmented Intelligence that can empower medical professionals in diagnostic dermatology," noted Dr. Na. "Rather than AI replacing humans, we expect AI to support humans as Augmented Intelligence to reach diagnoses faster and more accurately."

The researchers caution that AI cannot definitively interpret images that it is not trained to interpret even when the problem presented is straightforward. For example, an algorithm trained only to differentiate between melanoma and nevi cannot differentiate between an image of a nail hematoma and either a melanoma or a nevus. If the shape of the hematoma is irregular, the algorithm may diagnose it as melanoma. They also point out that the algorithm was trained and tested using high-quality images and its performance is generally suboptimal if the input images are of low quality.

In addition, a diagnosis made with only one image with the most optimal composition may present inherent limitations compared to diagnoses made in a clinical setting. In real practice, a dermatological diagnosis is made based on the combination of multiple sources of information including past medical history, symptoms, appearance compared to other lesions on the patient and the texture of the lesion assessed by physical contact.

"We anticipate that the use of our algorithm with a smartphone could encourage the public to visit specialists for cancerous lesions such as melanoma that might have been neglected otherwise," commented Dr. Na. "However, there are issues with the quality or composition of photographs taken by the general public that may affect the results of the algorithm. If the algorithm's performance can be reproduced in the clinical setting, it will be promising for the early detection of skin cancer with a smartphone. We hope that future studies will evaluate the utility and performance of our algorithms in a clinical setting."

An early demo version of the team's deep learning approach is available via its website. By analyzing data through the website, the researchers hope to identify possible problems that could still arise if the AI were used via telemedicine, which relies more heavily upon clinical photography to diagnose skin disorders. However, such diagnoses will still need to be verified by dermatologists along with the patient's medical history and physical examination.

For further reference log on to:

http://dx.doi.org/10.1016/j.jid.2020.01.019

Artificial intelligenceInvestigative DermatologySkin diseases
Source : Investigative Dermatology
Dr. Kamal Kant Kohli
Dr. Kamal Kant Kohli

Dr Kamal Kant Kohli-MBBS, DTCD- a chest specialist with more than 30 years of practice and a flair for writing clinical articles, Dr Kamal Kant Kohli joined Medical Dialogues as a Chief Editor of Medical News. Besides writing articles, as an editor, he proofreads and verifies all the medical content published on Medical Dialogues including those coming from journals, studies,medical conferences,guidelines etc. Email: drkohli@medicaldialogues.in. Contact no. 011-43720751

Show Full Article
Next Story

Editorial

Real-World Case study: Darbepoetin Alfa for Chemotherapy-Induced Anemia in Metastatic Breast Cancer - Dr Aditya Murali

Real-World Case study: Darbepoetin Alfa for Chemotherapy-Induced Anemia in Metastatic Breast Cancer...

Aspirin in Primary Prevention- When to Consider?

Aspirin in Primary Prevention- When to Consider?

Featured image representing medico legal

What's the Role of Expert Opinion in Medical Negligence?

7- Point Discharge Protocol for AECOPD: Time to Inculcate in Practice

7- Point Discharge Protocol for AECOPD: Time to Inculcate in Practice

Aspirin Use in Women Aged 40-50 with Diabetes and Hypertension: Identifying the Ideal Candidates

Aspirin Use in Women Aged 40-50 with Diabetes and Hypertension: Identifying the Ideal Candidates

View All

Journal Club Today

Real-World Case study: Darbepoetin Alfa for Chemotherapy-Induced Anemia in Metastatic Breast Cancer - Dr Aditya Murali

Real-World Case study: Darbepoetin Alfa for Chemotherapy-Induced Anemia in Metastatic Breast Cancer...

View All

Health News Today

Health Bulletin 08/ May/ 2025

Health Bulletin 08/ May/ 2025

View All
© 2022 All Rights Reserved.
Powered By: Hocalwire
X
We use cookies for analytics, advertising and to improve our site. You agree to our use of cookies by continuing to use our site. To know more, see our Cookie Policy and Cookie Settings.Ok