Surgery

Latest AI and machine learning research in surgery for healthcare professionals.

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Identifying Surgical Instruments in Pedagogical Cataract Surgery Videos through an Optimized Aggregation Network

Instructional cataract surgery videos are crucial for ophthalmologists and trainees to observe sur...

Attribute-Based Robotic Grasping with Data-Efficient Adaptation

Robotic grasping is one of the most fundamental robotic manipulation tasks and has been the subjec...

Laparoscopic Scene Analysis for Intraoperative Visualisation of Gamma Probe Signals in Minimally Invasive Cancer Surgery

Cancer remains a significant health challenge worldwide, with a new diagnosis occurring every two ...

Machine Learning-Based Prediction of ICU Readmissions in Intracerebral Hemorrhage Patients: Insights from the MIMIC Databases

Intracerebral hemorrhage (ICH) is a life-risking condition characterized by bleeding within the br...

Marker-independent imaging reveals a correlation of fibrotic and epigenetic alterations in endometriosis

Endometriosis describes the presence of endometrial glands outside of the uterus and can cause vario...

Post-operative tissue fragment puzzling using histopathological vision transformer alignment HiViTAlign

In pathology, reconstructing adjacent tissue parts enables an overview of the macro environment of o...

Conceptualization and Feasibility Testing of a Vibro-Acoustic Solution for Tumor Detection

Accurate detection of tumors is critical for the success of oncologic surgical intervention. Along w...

The Use of Artificial Intelligence In Magnetic Resonance Imaging of Epilepsy: A Systematic Review and Meta-Analysis

The application of artificial intelligence (AI)/machine learning (ML) to MRI can be a powerful tool ...

Prompt-Driven Target Identification: A Multi-Omics and Network Biology Case Study of PARP1 Using Swalife PromptStudio

Artificial intelligence–assisted scientific prompting is reshaping how biological targets can be rap...

Enhancing fMRI decoded neurofeedback with co-adaptive training: simulation and proof-of-principle evidence

A significant challenge for neurofeedback training research and related clinical applications, is pa...

CNN-based learning of single-cell transcriptomes reveals a blood-detectable multi-cancer signature of brain metastasis

Brain metastasis (BrM) is a serious complication of advanced cancers and remains difficult to predic...

Integrating Data Across Oscillatory Power Bands Predicts the Seizure Onset Zone in Focal Epilepsies

Accurate identification of the seizure onset zone (SOZ) using intracranial electroencephalography (i...

Dynamic and task-dependent decoding of the human attentional spotlight from MEG

Attention is a fundamental mechanism enabling the brain to overcome its limited capacity for paralle...

Deep Learning Bridges Histology and Transcriptomics to Predict Molecular Subtypes and Outcomes in Muscle-Invasive Bladder Cancer

Muscle-Invasive Bladder Cancer (MIBC) is a heterogeneous disease with distinct molecular subtypes in...

Competition between memories for reactivation as a mechanism for long-delay credit assignment

Animals can associate events with their outcomes, even if there is a long delay between the two. For...

Deep Learning–Based Early Detection of Major Adverse Cerebral Injuries in Cardiothoracic and Vascular Surgery

Despite advances in central nervous system (CNS)-protective anesthetic and surgical strategies, peri...

Systemic Metabolic Alterations after Aneurysmal Subarachnoid Hemorrhage: A Plasma Metabolomics Approach

Aneurysmal subarachnoid hemorrhage (aSAH) causes systemic changes that contribute to delayed cerebra...

A Lung CT Foundation Model Facilitating Disease Diagnosis and Medical Imaging

The concomitant development and evolution of lung computed tomography (CT) and artificial intelligen...

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