Allan Halpern
Overview
Explore the profile of Allan Halpern including associated specialties, affiliations and a list of published articles.
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50
Citations
1337
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Recent Articles
1.
Kurtansky N, Primiero C, Betz-Stablein B, Combalia M, Guitera P, Halpern A, et al.
J Eur Acad Dermatol Venereol
. 2024 Dec;
PMID: 39648687
Background: While the high accuracy of reported AI tools for melanoma detection is promising, the lack of holistic consideration of the patient is often criticized. Along with medical history, a...
2.
Kittler H, Halpern A
J Invest Dermatol
. 2023 Dec;
144(2):201-203.
PMID: 38159091
No abstract available.
3.
Barata C, Rotemberg V, Codella N, Tschandl P, Rinner C, Akay B, et al.
Nat Med
. 2023 Jul;
29(8):1941-1946.
PMID: 37501017
We investigated whether human preferences hold the potential to improve diagnostic artificial intelligence (AI)-based decision support using skin cancer diagnosis as a use case. We utilized nonuniform rewards and penalties...
4.
Oh Y, Sun M, Gu L, Salvador T, Sar-Graycar L, Hay J, et al.
JAAD Int
. 2023 Jul;
12:121-123.
PMID: 37409316
No abstract available.
5.
Mehta P, Sun M, Betz-Stablein B, Halpern A, Soyer H, Weber J, et al.
J Invest Dermatol
. 2023 Feb;
143(8):1423-1429.e1.
PMID: 36804150
Artificial intelligence algorithms to classify melanoma are dependent on their training data, which limits generalizability. The objective of this study was to compare the performance of an artificial intelligence model...
6.
Han S, Navarrete-Dechent C, Liopyris K, Kim M, Park G, Woo S, et al.
Sci Rep
. 2022 Sep;
12(1):16260.
PMID: 36171272
Model Dermatology ( https://modelderm.com ; Build2021) is a publicly testable neural network that can classify 184 skin disorders. We aimed to investigate whether our algorithm can classify clinical images of...
7.
Sahu A, Kose K, Kraehenbuehl L, Byers C, Holland A, Tembo T, et al.
Nat Commun
. 2022 Sep;
13(1):5312.
PMID: 36085288
Response to immunotherapies can be variable and unpredictable. Pathology-based phenotyping of tumors into 'hot' and 'cold' is static, relying solely on T-cell infiltration in single-time single-site biopsies, resulting in suboptimal...
8.
Hay J, Lee E, Christian S, Schofield E, Hamilton J, Yang C, et al.
J Skin Cancer
. 2022 Aug;
2022:4046554.
PMID: 35959144
Public access to genetic information is increasing, and community dermatologists may progressively encounter patients interested in genetic testing for melanoma risk. Clarifying potential utility will help plan for this inevitability....
9.
Celebi M, Barata C, Halpern A, Tschandl P, Combalia M, Liu Y
Med Image Anal
. 2022 May;
79:102468.
PMID: 35537339
No abstract available.
10.
Combalia M, Codella N, Rotemberg V, Carrera C, Dusza S, Gutman D, et al.
Lancet Digit Health
. 2022 Apr;
4(5):e330-e339.
PMID: 35461690
Background: Previous studies of artificial intelligence (AI) applied to dermatology have shown AI to have higher diagnostic classification accuracy than expert dermatologists; however, these studies did not adequately assess clinically...