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Diabetic Foot Ulcer Classification Models Using Artificial Intelligence and Machine Learning Techniques: Systematic Review

Diabetic Foot Ulcer Classification Models Using Artificial Intelligence and Machine Learning Techniques: Systematic Review

The evaluation and prognosis of a DFU vary considerably according to person, limb, and ulcer-related characteristics. For that reason, classification and scoring systems were developed to create groups of patients with similar characteristics for whom similar levels of care would apply.

Manuel Alberto Silva, Emma J Hamilton, David A Russell, Fran Game, Sheila C Wang, Sofia Baptista, Matilde Monteiro-Soares

J Med Internet Res 2025;27:e69408

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Machine Learning and Shapley Additive Explanations Value Integration for Predicting the Prognostic of Anti-N-Methyl-D-Aspartate Receptor Encephalitis: Model Development and Evaluation Study

Machine Learning and Shapley Additive Explanations Value Integration for Predicting the Prognostic of Anti-N-Methyl-D-Aspartate Receptor Encephalitis: Model Development and Evaluation Study

This capability has been successfully demonstrated in neurodegenerative diseases and tumor prognosis prediction by enhancing the feature representation of small-sample datasets. However, no study has systematically applied ML for prognostic prediction in NMDAR encephalitis.

Jia Wang, Haotian Wu, Han Cai, YingXiang Wang, Jian Gu

JMIR Med Inform 2025;13:e75020

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Developing and Validating an Inclusive and Cost-Effective Prediction Algorithm for Survival and Death Among People Living With HIV in Sub-Saharan Africa: Protocol for a Meta-Analysis and Case-Control and Cost-Effectiveness Study

Developing and Validating an Inclusive and Cost-Effective Prediction Algorithm for Survival and Death Among People Living With HIV in Sub-Saharan Africa: Protocol for a Meta-Analysis and Case-Control and Cost-Effectiveness Study

The poor prognosis of people living with HIV in the region [7] underscores the need for a tool to rapidly and accurately predict the risk of HIV-related death in the region. The development of an accurate and cost-effective prediction algorithm tailored specifically to the nuances of the SSA context emerges as an imperative.

Martins Nweke, Julian David Pillay, Alfred Musekiwa, Sam Chidi Ibeneme

JMIR Res Protoc 2025;14:e63783

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Serum Alpha-Fetoprotein-Tumor Size Ratio as a Prognostic Marker After Hepatic Resection for Primary Hepatocellular Carcinoma: Propensity Score Matched Retrospective Cohort Study

Serum Alpha-Fetoprotein-Tumor Size Ratio as a Prognostic Marker After Hepatic Resection for Primary Hepatocellular Carcinoma: Propensity Score Matched Retrospective Cohort Study

We speculate that when the tumor size is comparable, elevated AFP levels indicate a high degree of tumor malignancy and poor prognosis. This study focuses on the effect of the AFP-tumor size ratio (ATR) on the prognosis of patients with HCC and investigates the correlation between the ratio and the degree of tumor malignancy.

Shutian Mo, Yongfei He, Tianyi Liang, Guangzhi Zhu, Hao Su, Chuangye Han, Tao Peng

JMIR Cancer 2025;11:e64929

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Stakeholder Perspectives on Trustworthy AI for Parkinson Disease Management Using a Cocreation Approach: Qualitative Exploratory Study

Stakeholder Perspectives on Trustworthy AI for Parkinson Disease Management Using a Cocreation Approach: Qualitative Exploratory Study

This study, part of the Artificial Intelligence-Based Parkinson’s Disease Risk Assessment and Prognosis (AI-PROGNOSIS) Horizon Europe research initiative [30], aims to explore the perspectives of key stakeholders, including people with PD, HCPs, AI technical experts, and bioethical experts. The goal is to provide actionable insights for designing ethically sound and trustworthy AI solutions for PD management.

Beatriz Alves, Ghada Alhussein, Sara Riggare, Therese Scott Duncan, Ali Saad, David M Lyreskog, Christos Chatzichristos, Ioannis Gerasimou, Stelios Hadjidimitriou, Leontios J Hadjileontiadis, Sofia B Dias, AI-PROGNOSIS Consortium

J Med Internet Res 2025;27:e73710

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Predicting In-Hospital Mortality in Intensive Care Unit Patients Using Causal SurvivalNet With Serum Chloride and Other Causal Factors: Cross-Country Study

Predicting In-Hospital Mortality in Intensive Care Unit Patients Using Causal SurvivalNet With Serum Chloride and Other Causal Factors: Cross-Country Study

This work ultimately provides scientific evidence for ICU patient prognosis assessment and personalized treatment planning. In brief, we included patients who were admitted to the ICU with a valid serum chloride concentration recorded upon ICU admission.

Jing Wang, Qixiu Li, Can Xie, Xiaofei Li, Huikao Wang, Wei Xu, Ruyan Lv, Xiaobing Zhai, Ping Xu, Kefeng Li, Xi-Cheng Song

J Med Internet Res 2025;27:e70118

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Prognostic Disclosure in Metastatic Breast Cancer: Protocol for a Scoping Review

Prognostic Disclosure in Metastatic Breast Cancer: Protocol for a Scoping Review

Patients who understand their prognosis tend to have more realistic expectations about treatment [4]; they are also better able to prepare for the future, have higher quality end-of-life (Eo L) care and have better chances of dying in their preferred place [5].

Linda Battistuzzi, Irene Giannubilo, Claudia Bighin

JMIR Res Protoc 2025;14:e57256

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The Importance of Comparing New Technologies (AI) to Existing Tools for Patient Education on Common Dermatologic Conditions: A Commentary

The Importance of Comparing New Technologies (AI) to Existing Tools for Patient Education on Common Dermatologic Conditions: A Commentary

comparative sufficiency of ChatGPT, Google Bard, and Bing AI in answering diagnosis, treatment, and prognosisprognosis

Parker Juels

JMIR Dermatol 2025;8:e71768

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