Teaching Humanity in the Age of Artificial Intelligence: Why Medical Schools Should Prioritize Emotional Intelligence

No abstractAcad Med. 2026 Feb 3:wvag030. doi: 10.1093/acamed/wvag030. Online ahead of print.NO ABSTRACTPMID:41632492 | DOI:10.1093/acamed/wvag030

Differential gene expression profiling of ectopic endometrium reveals key molecular pathways in endometriosis pathogenesis

Mol Biol Rep. 2026 Feb 3;53(1):351. doi: 10.1007/s11033-026-11521-7.ABSTRACTBACKGROUND: Endometriosis is a chronic, estrogen-dependent inflammatory disease characterized by the presence of endometrial-like tissue outside the uterine cavity and is associated with pain, infertility, and impaired quali

Expanded Indications in Advanced Endoscopic Resection of Malignant Gastrointestinal Lesions

Curr Gastroenterol Rep. 2026 Feb 3;28(1):7. doi: 10.1007/s11894-025-01029-8.ABSTRACTPURPOSE OF REVIEW: Endoscopic resection (ER) has transformed the management of early gastrointestinal (GI) malignancies by offering curative treatment with low morbidity and organ preservation. Traditionally restrict

Diagnostic Codes in AI Prediction Models and Label Leakage of Same-Admission Clinical Outcomes

JAMA Netw Open. 2025 Dec 1;8(12):e2550454. doi: 10.1001/jamanetworkopen.2025.50454.ABSTRACTIMPORTANCE: Artificial intelligence models that predict same-admission outcomes for hospitalized patients, such as inpatient mortality, often rely on International Classification of Diseases (ICD) diagnostic c

Development and Validation of a Prediction Model for Intracranial Aneurysm Rupture Risk

JAMA Netw Open. 2025 Dec 1;8(12):e2550772. doi: 10.1001/jamanetworkopen.2025.50772.ABSTRACTIMPORTANCE: Unruptured intracranial aneurysms (UIAs) affect 3.2% of the general population, and approximately 85% of subarachnoid hemorrhages result from their rupture. Despite their classification as low risk

Vulnerability of Large Language Models to Prompt Injection When Providing Medical Advice

JAMA Netw Open. 2025 Dec 1;8(12):e2549963. doi: 10.1001/jamanetworkopen.2025.49963.ABSTRACTIMPORTANCE: Large language models (LLMs) are increasingly integrated into health care applications; however, their vulnerability to prompt-injection attacks (ie, maliciously crafted inputs that manipulate an L

Multimodal AI-Driven Identification of Dehydrocostus Lactone as a Potent Renal Fibrosis Attenuator Targeting IQGAP1

Adv Sci (Weinh). 2026 Feb 3:e20277. doi: 10.1002/advs.202520277. Online ahead of print.ABSTRACTRenal fibrosis, a hallmark of chronic kidney disease (CKD), remains a critical therapeutic challenge with limited effective interventions. Herein, we proposed a multimodal AI-driven Traditional Chinese Med

Imaging for Scapholunate Ligament Injuries: Techniques, Challenges, and Innovations

J Hand Surg Am. 2026 Feb 3:S0363-5023(25)00667-7. doi: 10.1016/j.jhsa.2025.11.021. Online ahead of print.ABSTRACTScapholunate (SL) ligament injuries are a common cause of wrist pain and instability but can be diagnostically challenging. Standard radiographs, ultrasound, computed tomography, and magn

Deep Learning-Powered Scalable Cancer Organ Chip for Cancer Precision Medicine

Adv Sci (Weinh). 2026 Feb 3:e16660. doi: 10.1002/advs.202516660. Online ahead of print.ABSTRACTFunctional precision oncology complements genomic approaches by directly testing treatment options on patient-derived models. However, existing platformssuch as patient-derived xenografts (PDXs) and patien

TabPFN-driven ternary classification of stage IA lung adenocarcinoma subtypes using AI-derived histogram features a retrospective multicenter cohort study

Int J Surg. 2026 Feb 3. doi: 10.1097/JS9.0000000000004585. Online ahead of print.ABSTRACTBACKGROUND: Preoperative differentiation of precursor glandular lesions (PGL), minimally invasive (MIA), and invasive adenocarcinoma (IAC) in stage IA lung adenocarcinoma (LUAD) is critical for surgical planning

Digital twin-assisted surgery: technological architecture, integration across surgical phases, implementation challenges and future directions

Int J Surg. 2026 Feb 3. doi: 10.1097/JS9.0000000000004921. Online ahead of print.ABSTRACTDigital twin-assisted surgery referred to the use of a dynamic, patient specific virtual model that mirrored physical patient in real time to enhance surgical planning, guidance, and outcomes. This emerging appr

The disparity and trend of childhood cancer burden in survival perspective: a systematic analysis for the global burden of disease 2021

Int J Surg. 2026 Feb 3. doi: 10.1097/JS9.0000000000004775. Online ahead of print.ABSTRACTBACKGROUND: The World Health Organization Global Initiative for Childhood Cancer has set a target of achieving a 60% survival rate by 2030. However, current evidence is insufficient to guide governments and medi

Guidelines for Reporting Studies on Large Language Models in Radiology: An International Delphi Expert Survey

Radiology. 2026 Feb;318(2):e250913. doi: 10.1148/radiol.250913.ABSTRACTLarge language models (LLMs) have transformative potential in radiology, including textual summaries, diagnostic decision support, proofreading, and image analysis. However, the rapid increase in studies investigating these model

Effect of Reporting Mode and Clinical Experience on Radiologists' Gaze and Image Analysis Behavior at Chest Radiography

Radiology. 2026 Feb;318(2):e251348. doi: 10.1148/radiol.251348.ABSTRACTBackground Structured reporting (SR) and artificial intelligence (AI) could potentially transform radiologists' interactions with imaging studies. Purpose To assess the impact of different reporting modes on radiologists' interac

The promoting effect of reward on the evolution of cooperation in a dynamic network

Chaos. 2026 Feb 1;36(2):023114. doi: 10.1063/5.0316098.ABSTRACTThe independent value of the reward and the structural advantages of dynamic networks have been well-established in their respective fields. Yet, research on their integration remains at an exploratory stage. Thus, we effectively incorpo

Machine Learning-Based Return of Spontaneous Circulation Prediction During Cardiopulmonary Resuscitation in a Swine Model of Cardiac Arrest: Effect of Data Resolution and Multimodal Physiological Waveforms

Crit Care Med. 2026 Feb 1;54(2):257-269. doi: 10.1097/CCM.0000000000006968. Epub 2025 Nov 24.ABSTRACTOBJECTIVES: To determine whether high-resolution (HighRes) and multimodal integration of physiologic signals improve prediction of return of spontaneous circulation (ROSC) during pediatric cardiopulm

What Is the Level of Knowledge of Artificial Intelligence Chatbots in Clinical Nutrition Questions?

J Hum Nutr Diet. 2026 Feb;39(1):e70211. doi: 10.1111/jhn.70211.ABSTRACTBACKGROUND: Artificial intelligence (AI) chatbots are increasingly used in various fields, including nutrition. Despite their growing popularity, there is limited evidence regarding the accuracy and reliability of clinical nutrit

Foundations for AI-assisted Adverse Outcome Pathways (AOPs) in radiation research

Int J Radiat Biol. 2026 Feb 3:1-14. doi: 10.1080/09553002.2026.2618532. Online ahead of print.ABSTRACTPURPOSE: Artificial Intelligence (AI) and Machine Learning (ML) are being explored to improve systematic evidence gathering and to identify patterns across datasets. Their integration into the devel

Pacinian Corpuscle-Inspired Strain Conversion Enables Ultrasensitive, Linear, and Broad-Range Piezoelectric Sensing for Cardiovascular Health Monitoring

Adv Sci (Weinh). 2026 Feb 3:e22157. doi: 10.1002/advs.202522157. Online ahead of print.ABSTRACTHigh-fidelity wrist pulse acquisition, essential for the early diagnosis and precise management of cardiovascular diseases, requires tactile sensors with both ultrasensitive and linear electromechanical re

Adoption intentions and barriers to emerging technologies among people with disabilities: a systematic review of attitudes, accessibility, and inclusion

Disabil Rehabil Assist Technol. 2026 Feb 3:1-13. doi: 10.1080/17483107.2026.2624716. Online ahead of print.ABSTRACTPURPOSE: Emerging technologies, ranging from robotics and artificial intelligence to assistive innovations, hold transformative potential for improving the quality of life among people

Artificial Intelligence Augmented Competence Committees: A Collaborative Path Forward in Competency-Based Medical Education

No abstractClin Teach. 2026;23(2):e70358. doi: 10.1111/tct.70358.NO ABSTRACTPMID:41631742 | DOI:10.1111/tct.70358

Recent Advances in the Application of Machine Learning Models in Metabolic Dysfunction-Associated Steatotic Liver Disease

Diabetes Metab Res Rev. 2026 Feb;42(2):e70129. doi: 10.1002/dmrr.70129.ABSTRACTMetabolic Dysfunction-associated Steatotic Liver Disease (MASLD) is a prevalent liver disease worldwide, with its prevalence rising alongside the increase in metabolic syndrome (MetS), obesity and ageing. Machine learning

Microvascular inflammation in the kidney transplant, beyond acute antibody-mediated rejection

Curr Opin Nephrol Hypertens. 2026 Jan 30. doi: 10.1097/MNH.0000000000001165. Online ahead of print.ABSTRACTPURPOSE OF REVIEW: Microvascular inflammation (MVI) is a central feature of allograft rejection, traditionally associated with antibody-mediated rejection (AMR), but its mechanisms and clinical

Artificial intelligence in the diagnosis and management of aortic disease: current applications and future directions

G Ital Cardiol (Rome). 2026 Feb;27(2):92-101. doi: 10.1714/4636.46466.ABSTRACTArtificial intelligence (AI) is rapidly transforming the field of aortic imaging, enhancing diagnostic accuracy, risk stratification, and treatment planning. This review provides a comprehensive overview of AI applications