Adrien Moucquot

The AI revolution: how multimodal intelligence will reshape the oncology ecosystem

David Dellamonica, David Ruau, Greg Rossi, Bob T. Li et autres

Abstract Multimodal artificial intelligence (MMAI) is redefining oncology by integrating heterogeneous datasets from diagnostic modalities into cohesive analytical frameworks for more accurate and personalized cancer care. We highlight MMAI applications across the patient journey and clinical research, discuss outstanding challenges, and the …

ch, us, gb, es (code pays fourni par la source)

962P Best practices and impact of multi-disciplinary teams on hepatocellular carcinoma treatment: Insights from a global effort

Pablo Azcue, Maria Teresa Campos Partera, Arndt Vogel, Gonzalo Sapisochín et autres

ch, br, es, ca, dk, au, pl, gb, us, nl, jp (code pays fourni par la source)

209P Setup of hepatocellular carcinoma (HCC) multidisciplinary teams (MDTs) demonstrate multi-faceted similarities and differences across US, Canada and Europe

Pablo Azcue, Manish Kothari, Carsten Schnatwinkel, Wim Vereecken et autres

ch, gb, au, pl, sg, de, nl, br, es, jp (code pays fourni par la source)

Similarities and differences of lung cancer (LC) multidisciplinary teams (MDTs) in China compared to Europe and Canada.

Poka Yingjing Cui, Bichai Yin, Yichen Zhang, Yi‐Long Wu et autres

e13562 Background: LC MDTs involve a collaborative approach where specialists work together to analyze individual cases, discuss treatment options, and tailor comprehensive care plans for patients. Implementing MDTs can be challenging, especially for developing countries with limited resources and high disease burden. …

cn, us, ch, es (code pays fourni par la source)

Enhancing Multidisciplinary Team Processes in Lung Cancer Care: A Self-Assessment Toolkit and Best Practices

Poka Yingjing Cui, Peter Blanshard, María Teresa Campos-Partera, Adrien Moucquot et autres

Multidisciplinary teams (MDTs) play a pivotal role in the comprehen­sive management of cancer. MDT meetings (MDTMs) bring together specialized experts across the entire patient care spectrum, convening regularly to discuss patient cases, select optimal diagnostic strategies, and determine the most ap­propriate treatment …

pt, gb (code pays fourni par la source)

1721P Self-assessment tool and best-practice sharing to support hospitals in improving the quality of multi-disciplinary teams in lung cancer care

Ernest Nadal, M. Gallego-Llorente, Yaxiong Cui, Lidewey Verbaas et autres

es, nl, gb, ch, no (code pays fourni par la source)

Best practices study to enhance the quality of multi-disciplinary teams in lung cancer care.

M. Gallego-Llorente, Lidewey Verbaas, Yingjing Poka Cui, Marcio M. Gomes et autres

1532 Background: Regular meetings at multi-disciplinary teams (MDTs) constitute a key moment in the care pathway in lung cancer, where physicians collectively discuss patient cases and decide on treatment plans. MDTs arguably increase the volume of patients treated, improve diagnosis, and positively …

ca, ch (code pays fourni par la source)