AI Medical Compendium

Aconitine from Aconiti Lateralis Radix Praeparata (Fuzi) Suppresses Intrahepatic Cholangiocarcinoma via TOP2A: A Study Combining Machine Learning with Functional Validation.

Chinese journal of integrative medicine Jul 15, 2026

OBJECTIVE: To elucidate the therapeutic potential and mechanisms of Fuzi (Aconiti Lateralis Radix Praeparata) against intrahepatic cholangiocarcinoma (ICC). METHODS: Fuzi-related targets were obtained from TCMSP, HERB, and ETCM databases, and ICC-rel... read more

Scientific evidence of commercial artificial intelligence products for pulmonary nodule assessment on CT scans: a systematic review.

European radiology Jul 15, 2026

OBJECTIVES: This systematic review evaluates the available evidence on the efficacy of commercially available AI-software applications for lung nodule assessment on CT scans. MATERIALS AND METHODS: In adherence to PRISMA guidelines, a thorough search... read more

Explainable Machine-Learning Model for Predicting Severe Obstructive Sleep Apnea in Patients Undergoing Metabolic Bariatric Surgery.

Obesity surgery Jul 15, 2026

BACKGROUND: Severe obstructive sleep apnea (SOSA) is associated with an increased risk of perioperative complications in patients undergoing metabolic bariatric surgery. However, polysomnography-based screening remains limited by poor accessibility a... read more

Real-world clinical validation of brainstem-based ocular biomarkers for ADHD classification in children and adults.

Scientific reports Jul 15, 2026

Current ADHD diagnostic practices rely on subjective rating scales and continuous performance tests with limited specificity. We propose an objective deep-learning approach classifying ADHD via task-evoked pupil diameter and binocular eye-movement sy... read more

From Symptom Control to Precision Supportive Oncology: Integrating Artificial Intelligence in Supportive Oncology for Gastrointestinal Cancers.

Current oncology reports Jul 15, 2026

PURPOSE OF REVIEW: Gastrointestinal (GI) cancers are among the most common malignancies worldwide and impose a substantial symptom burden from diagnosis through survivorship. Despite advances in systemic therapies and surgical approaches, patients co... read more

Bouncing back from stress: objective markers of expressive flexibility and resilience in emergency healthcare workers using computer vision.

NPP - digital psychiatry and neuroscience Jul 15, 2026

Healthcare workers (HCWs) in emergency departments face significant mental health risk due to chronic stressors and repeated trauma, yet symptom underreporting and bias in self-reports hinder accurate assessments. Expressive flexibility, the ability ... read more

Endometriosis Unveiled: Innovations in Diagnosis and Management of Endometriosis.

Clinical obstetrics and gynecology Jul 15, 2026

Endometriosis is a chronic inflammatory condition that can result in chronic pain through complex nociceptive, neuropathic, and nociplastic pathways. This article provides a comprehensive background on endometriosis as well as future directions in di... read more

Single-Cell and Bulk RNA Sequencing Reveal MCL1 as a Key Regulator of Mitochondrial Function in Liver Ischemia-Reperfusion Injury.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology Jul 15, 2026

Liver ischemia-reperfusion injury (LIRI), a significant complication following liver transplantation and surgical procedures, remains inadequately addressed due to the limited therapeutic options available. This study aims to elucidate the pivotal re... read more

Unraveling the Mechanism of Drug Binding to SARS-CoV-2 RNA Pseudoknot With Thermodynamics-Driven Machine Learning.

Journal of computational chemistry Jul 15, 2026

The pseudoknot secondary structure in SARS-CoV-2 RNA is essential for regulating protein synthesis through - $$ - $$ 1 programmed ribosomal frameshifting ( - 1 $$ -1 $$ PRF), a mechanism that allows the virus to generate both structural and non-s... read more

Neurophysiological EEG Characterization of Autism Spectrum Disorder Using DWT-Based Frequency Analysis With Selective Electrodes and Brain Segmentation: An Explainable AI-Driven Approach.