Search Results - "Mullarkey, Dan"

Real-world post-deployment performance of a novel machine learning-based digital health technology for skin lesion assessment and suggestions for post-market surveillance by Thomas, Lucy, Hyde, Chris, Mullarkey, Dan, Greenhalgh, Jack, Kalsi, Dilraj, Ko, Justin

“…Deep Ensemble for Recognition of Malignancy (DERM) is an artificial intelligence as a medical device (AIaMD) tool for skin lesion assessment. We report…”
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Effectiveness of an image analyzing AI-based Digital Health Technology to identify Non-Melanoma Skin Cancer and other skin lesions: results of the DERM-003 study by Marsden, Helen, Morgan, Caroline, Austin, Stephanie, DeGiovanni, Claudia, Venzi, Marcello, Kemos, Polychronis, Greenhalgh, Jack, Mullarkey, Dan, Palamaras, Ioulios

“…Identification of skin cancer by an Artificial Intelligence (AI)-based Digital Health Technology could help improve the triage and management of suspicious…”
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BT09 Multicentre prospective clinical performance analysis of an artificial intelligence as a medical device deployed within urgent suspected skin cancer pathways by Brewer, Felix, Kentley, Jonathan, Kalsi, Dilraj, Mullarkey, Dan, Thomas, Lucy

“…Abstract Over 25% of patients with suspected skin cancer in England waited over 4 weeks from urgent referral to diagnosis in October 2023. Implementation of…”
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P042 Developing a clinical audit methodology for monitoring dermatologist performance in artificial intelligence-enabled teledermatology pathways by Luck, Joshua, Menezes, Audrey, Kalsi, Dilraj, Mullarkey, Dan, Wilson, Niall

“…Abstract Teledermatology can help support the timely diagnosis of skin cancer. NHS England recently published a roadmap to accelerate the roll-out of…”
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BT07 (P042) Developing a clinical audit methodology for monitoring dermatologist performance in artificial intelligence-enabled teledermatology pathways by Luck, Joshua, Menezes, Audrey, Kalsi, Dilraj, Mullarkey, Dan, Wilson, Niall

“…Abstract Teledermatology can help support the timely diagnosis of skin cancer. NHS England recently published a roadmap to accelerate the roll-out of…”
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BT29 Modelling the cost-effectiveness of an artificial intelligence as a medical device by Zhelev, Zhivko, Puttergill, David, Kalsi, Dilraj, Mullarkey, Dan, Hyde, Christopher

“…Abstract Dermatology services are facing rising demand with limited workforce and resources. Artificial intelligence as a medical device (AIaMD) may offer a…”
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BT06 Using artificial intelligence to triage skin cancer referrals: outcomes from a pilot study by Abu Baker, Karmel, Roberts, Elizabeth, Harman, Karen, Mullarkey, Dan, Kalsi, Dilraj

“…Abstract Artificial intelligence (AI) is a rapidly emerging field in dermatology, aimed at delivering efficient and effective patient care. To date, there is a…”
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