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Human-AI interaction in skin cancer diagnosis: a systematic review and meta-analysis
The development of diagnostic tools for skin cancer based on artificial intelligence (AI) is increasing rapidly and will likely soon be widely...
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Recent Advances in Melanoma Diagnosis and Prognosis Using Machine Learning Methods
Purpose of ReviewThe purpose was to summarize the current role and state of artificial intelligence and machine learning in the diagnosis and...
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Unveiling the power of convolutional neural networks in melanoma diagnosis
BackgroundConvolutional neural networks are a type of deep learning algorithm. They are mostly applied in visual recognition and can be used for the...
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A systematic review and meta-analysis of artificial intelligence versus clinicians for skin cancer diagnosis
Scientific research of artificial intelligence (AI) in dermatology has increased exponentially. The objective of this study was to perform a...
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Skin Cancer Image Segmentation Based on Midpoint Analysis Approach
Skin cancer affects people of all ages and is a common disease. The death toll from skin cancer rises with a late diagnosis. An automated mechanism...
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Why, Who and How We Should Screen for Melanoma
Purpose of ReviewMalignant melanoma is one of the deadliest skin cancers worldwide, and its incidence continues to rise. Discrepancies are observed...
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Review of the application of the most current sophisticated image processing methods for the skin cancer diagnostics purposes
This paper presents the most current and innovative solutions applying modern digital image processing methods for the purpose of skin cancer...
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Künstliche Intelligenz in der Medizin und Gynäkologie – Holzweg oder Heilversprechen?
Artificial intelligence (AI) has attained a new level of maturity in recent years and is becoming the driver of digitalization in all areas of life....
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Refining mutanome-based individualised immunotherapy of melanoma using artificial intelligence
Using the particular nature of melanoma mutanomes to develop medicines that activate the immune system against specific mutations is a game changer...
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Defining the concepts of a smart nursing home and its potential technology utilities that integrate medical services and are acceptable to stakeholders: a sco** review
Background and objectivesSmart technology in nursing home settings has the potential to elevate an operation that manages more significant number of...
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Automated Facial Acne Lesion Detecting and Counting Algorithm for Acne Severity Evaluation and Its Utility in Assisting Dermatologists
BackgroundAlthough lesion counting is an evaluation method that effectively analyzes facial acne severity, its usage is limited because of difficult...
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Challenges and barriers of using large language models (LLM) such as ChatGPT for diagnostic medicine with a focus on digital pathology – a recent sco** review
BackgroundThe integration of large language models (LLMs) like ChatGPT in diagnostic medicine, with a focus on digital pathology, has garnered...
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Clinical ABCDE rule for early melanoma detection
BackgroundThe ABCDE rule systematizes warning signs for malignant melanoma (MM).
ObjectivesTo evaluate whether the ABCDE signs are associated with...
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Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis
The fracture risk of patients with diabetes is higher than those of patients without diabetes due to hyperglycemia, usage of diabetes drugs, changes...
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Automated detection of nonmelanoma skin cancer using digital images: a systematic review
BackgroundComputer-aided diagnosis of skin lesions is a growing area of research, but its application to nonmelanoma skin cancer (NMSC) is relatively...
