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Contents Volume 7 Issue 1 September 8, 2026

Review

Synergistic applications of artificial intelligence and organoid technology in gastric precancerous lesion research: Mechanisms, translation, and challenges

Chen-Heng Wu, Jun-Xin Qiu, Yue-Bo Jia, Yi Quan, Chang Liu, Jiang-Hong Ling

Artif Intell Cancer 7(1):114273. Published online Sep 8, 2026. doi: 10.35713/aic.v7.i1.114273

Abstract (82) | Core Tip (70) | Full Article (HTML) (253) | Figures (1-1) (62) | Tables (1-7) (63) | Full Article (PDF)-1021K (46) | Full Article with Cover (PDF)-1339K (33) | Full Article (XML)-294K (24) | Audio-371K (0) | Received: 09/15/2025 | Revised: 10/06/2025 | Accepted: 01/12/2026 | RCA | CrossRef | Google Scholar | Similar Articles (380) | Cite | (32) | (27) | (0) | (0) | (0) | (1375) | Open

Minireviews

From gastric cancer prevention to global health care, this is the way to implementing artificial intelligence in medicine

Sergey M Kotelevets

Artif Intell Cancer 7(1):118079. Published online Sep 8, 2026. doi: 10.35713/aic.v7.i1.118079

Abstract (86) | Core Tip (83) | Full Article (HTML) (323) | Figures (1-1) (61) | Full Article (PDF)-602K (46) | Full Article with Cover (PDF)-922K (23) | Full Article (XML)-175K (25) | Audio-574K (2) | Received: 12/22/2025 | Revised: 01/15/2026 | Accepted: 02/03/2026 | RCA | CrossRef | Google Scholar | Similar Articles (380) | Cite | (33) | (28) | (0) | (0) | (0) | (34) | (1512) | Open

Artificial intelligence in liver disease: Current status and future direction

Chun-Ye Zhang, Ming Yang

Artif Intell Cancer 7(1):119655. Published online Sep 8, 2026. doi: 10.35713/aic.119655

Abstract (63) | Core Tip (67) | Full Article (HTML) (280) | Figures (1-1) (56) | Tables (1-1) (65) | Full Article (PDF)-1052K (50) | Full Article with Cover (PDF)-1371K (27) | Full Article (XML)-153K (24) | Audio-705K (0) | Received: 02/02/2026 | Revised: 02/20/2026 | Accepted: 04/07/2026 | RCA | CrossRef | Google Scholar | Similar Articles (450) | Cite | (34) | (34) | (0) | (0) | (0) | (1405) | Open

Artificial intelligence empowering precision oncology: The convergence and innovation of traditional Chinese medicine and Western medicine wisdom

Chang Qiao, Yu-Tong Han, Jiang-Ping Zhan, Jia Yuan, Xiao-Tong Tian, Yue-Chuan Jiao, Hao-Wei Li, Ling-Yong Wu, Chu Li, Yu-Xuan He, De-Hui Li

Artif Intell Cancer 7(1):121344. Published online Sep 8, 2026. doi: 10.35713/aic.121344

Abstract (76) | Core Tip (75) | Full Article (HTML) (313) | Figures (1-2) (59) | Full Article (PDF)-1732K (47) | Full Article with Cover (PDF)-2051K (26) | Full Article (XML)-209K (29) | Audio-474K (9) | Supplementary Material-450K (25) | Received: 03/22/2026 | Revised: 05/06/2026 | Accepted: 06/08/2026 | RCA | CrossRef | Google Scholar | Similar Articles (380) | Cite | (35) | (40) | (0) | (0) | (0) | (16) | (1047) | Open

Artificial intelligence-driven decoding of trajectories of cancer cell plasticity: A paradigm shift in oncological assessment and treatment

Mansi Srivastava, Minal Garg

Artif Intell Cancer 7(1):122429. Published online Sep 8, 2026. doi: 10.35713/aic.122429

Abstract (74) | Core Tip (73) | Full Article (HTML) (249) | Figures (1-3) (69) | Full Article (PDF)-3146K (52) | Full Article with Cover (PDF)-3465K (24) | Full Article (XML)-172K (22) | Audio-467K (1) | Received: 04/17/2026 | Revised: 07/02/2026 | Accepted: 08/14/2026 | RCA | CrossRef | Google Scholar | Similar Articles (380) | Cite | (30) | (30) | (0) | (0) | (0) | (35) | (967) | Open

Artificial intelligence in colorectal liver metastases: From detection and resectability to treatment response and recurrence prediction

Ahmed Salman, Ahmed Elewa, Mohamed AbdAlla Salman

Artif Intell Cancer 7(1):124432. Published online Sep 8, 2026. doi: 10.35713/aic.124432

Abstract (75) | Core Tip (79) | Full Article (HTML) (291) | Figures (1-1) (58) | Tables (1-2) (64) | Full Article (PDF)-769K (41) | Full Article with Cover (PDF)-1113K (23) | Full Article (XML)-143K (24) | Audio-885K (3) | Received: 06/14/2026 | Revised: 07/23/2026 | Accepted: 07/30/2026 | RCA | CrossRef | Google Scholar | Similar Articles (400) | Cite | (37) | (36) | (0) | (0) | (0) | (37) | (1589) | Open

Retrospective Cohort Study

Magnetic resonance imaging-based deep learning model for prediction of the neoadjuvant chemotherapy response and survival prognosis in adolescents with osteosarcoma

Yu-Han Yang

Artif Intell Cancer 7(1):116460. Published online Sep 8, 2026. doi: 10.35713/aic.v7.i1.116460

Abstract (71) | Core Tip (70) | Full Article (HTML) (205) | Figures (1-4) (58) | Tables (1-3) (61) | Full Article (PDF)-10721K (92) | Full Article with Cover (PDF)-11067K (23) | Full Article (XML)-161K (29) | Audio-131K (0) | Supplementary Material-338K (19) | Received: 11/11/2025 | Revised: 12/03/2025 | Accepted: 02/02/2026 | RCA | CrossRef | Google Scholar | Similar Articles (376) | Cite | (26) | (36) | (0) | (0) | (0) | (1753) | Open

Prognostic value of early changes in artificial intelligence-based computed tomography-measured body composition in pediatric osteosarcoma receiving neoadjuvant chemotherapy

Yu-Han Yang, Yuan Li

Artif Intell Cancer 7(1):116464. Published online Sep 8, 2026. doi: 10.35713/aic.v7.i1.116464

Abstract (60) | Core Tip (68) | Full Article (HTML) (186) | Figures (1-3) (59) | Tables (1-4) (66) | Full Article (PDF)-1424K (45) | Full Article with Cover (PDF)-1745K (23) | Full Article (XML)-105K (31) | Audio-162K (9) | Received: 11/11/2025 | Revised: 12/04/2025 | Accepted: 02/02/2026 | RCA | CrossRef | Google Scholar | Similar Articles (403) | Cite | (31) | (31) | (0) | (0) | (0) | (1762) | Open

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