Artificial intelligence (AI) is rapidly transforming healthcare, and one of its most promising
applications is in the diagnosis and treatment of diseases. AI algorithms can analyze vast …

Personalized medicine transforms healthcare by adapting interventions to individuals'
unique genetic, molecular, and clinical profiles. To maximize diagnostic and/or therapeutic …

Current deep-learning methods are often based on significantly large quantities of labeled
fault data for supervised training. In practice, it is difficult to obtain samples of rolling bearing …

Purpose To develop a deep learning model to accurately detect anterior cruciate ligament
(ACL) ruptures on magnetic resonance imaging (MRI) and to evaluate its effect on the …

The expansion applications of semiconducting polymer dots (Pdots) among optical
nanomaterial field have long posed a challenge for researchers, promoting their intelligent …

After COVID-19 healthcare shareholders are more attentive to the different solutions. One of
the critical illnesses cancer becomes more changeling after this situation. There are different …

Background Anterior cruciate ligament (ACL) injuries are closely associated with knee
osteoarthritis (OA). However, diagnosing ACL injuries based on knee magnetic resonance …

The extraordinary boom of data keeps to undertaking the conventional methods to
information usage. the use of synthetic intelligence (AI) and gadget studying (ML) is …

Cancer disease prediction is a critical task in healthcare that can significantly impact patient
outcomes. This abstract presents a multimodal deep neural network (DNN) approach for …

Application of Artificial Intelligence in Oncology Application of Artificial Intelligence in
Oncology Semin Cancer Biol. 2023 Nov 15:S1044-579X(23)00144-X. doi: 10.1016/j.semcancer.2023.11.005 …