[HTML][HTML] AI Chatbots and Telemedicine in Cancer Care: Supporting Patients and Enhancing Communications

MS Khorsand, S Heidari, R Darbani, YEK Tosi… - Kindle, 2024 - preferpub.org
AI chatbots and telemedicine are revolutionizing cancer care by providing support to
patients and enhancing communication between them and their healthcare providers. AI …

[HTML][HTML] AI and Deep Learning in Understanding the Etiology and Pathogenesis of Cancers

P Nemati, A Khalaji, Y Rajabloo, MH Kazemi, S Nouri… - Kindle, 2024 - preferpub.org
Artificial intelligence (AI) and deep learning have emerged as powerful tools in
understanding the etiology and pathogenesis of cancers. These technologies help uncover …

[HTML][HTML] Artificial Intelligence in the Non-Invasive Detection of Melanoma

B İsmail Mendi, K Kose, L Fleshner, R Adam, B Safai… - Life, 2024 - mdpi.com
Skin cancer is one of the most prevalent cancers worldwide, with increasing incidence. Skin
cancer is typically classified as melanoma or non-melanoma skin cancer. Although …

[HTML][HTML] Deep Learning Techniques for the Dermoscopic Differential Diagnosis of Benign/Malignant Melanocytic Skin Lesions: From the Past to the Present

L Tognetti, C Miracapillo, S Leonardelli, A Luschi… - Bioengineering, 2024 - mdpi.com
There has been growing scientific interest in the research field of deep learning techniques
applied to skin cancer diagnosis in the last decade. Though encouraging data have been …

Evaluating multimodal AI in medical diagnostics

R Kaczmarczyk, TI Wilhelm, R Martin, J Roos - npj Digital Medicine, 2024 - nature.com
This study evaluates multimodal AI models' accuracy and responsiveness in answering
NEJM Image Challenge questions, juxtaposed with human collective intelligence …

Large-scale observational study of AI-based patient and surgical material verification system in ophthalmology: real-world evaluation in 37 529 cases

H Tabuchi, N Ishitobi, H Deguchi… - BMJ Quality & …, 2024 - qualitysafety.bmj.com
Background Surgical errors in ophthalmology can have devastating consequences. We
developed an artificial intelligence (AI)-based surgical safety system to prevent errors in …

[HTML][HTML] Kidney Damage in Pediatric Obesity: Insights from an Emerging Perspective

G Forcina, M Luciano, V Frattolillo, S Mori… - Journal of Clinical …, 2024 - mdpi.com
The role of obesity as a risk factor for chronic kidney disease (CKD) in adulthood has been
well established. Over the last years, kidney damage (KD) has emerged as a significant …

[HTML][HTML] Automatic Assessment of AK Stage Based on Dermatoscopic and HFUS Imaging—A Preliminary Study

K Korecka, A Slian, A Polańska… - Journal of Clinical …, 2024 - mdpi.com
Background: Actinic keratoses (AK) usually occur on sun-exposed areas in elderly patients
with Fitzpatrick I–II skin types. Dermatoscopy and ultrasonography are two non-invasive …

AI-assisted radiologists vs. standard double reading for rib fracture detection on CT images: A real-world clinical study

L Sun, Y Fan, S Shi, M Sun, Y Ma, K Zhang, F Zhang… - PloS one, 2025 - journals.plos.org
To evaluate the diagnostic accuracy of artificial intelligence (AI) assisted radiologists and
standard double-reading in real-world clinical settings for rib fractures (RFs) detection on CT …

[HTML][HTML] Snap Diagnosis: Developing an Artificial Intelligence Algorithm for Penile Cancer Detection from Photographs

J Liu, JS O'Brien, K Nandakishor, NJ Sathianathen… - Cancers, 2024 - mdpi.com
Abstract Background/Objective: Penile cancer is aggressive and rapidly progressive. Early
recognition is paramount for overall survival. However, many men delay presentation due to …